from hermes_tools import write_file
from pathlib import Path
import json, textwrap
root='/home/agent/jarvis_runtime/AutoShortsBot'
files={
'.gitignore': '''# Python\n__pycache__/\n*.py[cod]\n.pytest_cache/\n.ruff_cache/\n.mypy_cache/\n.venv/\nvenv/\n\n# Secrets\n.env\n.env.*\n*.token\n*token*\nsecrets/\ncredentials/\n\n# Generated media / heavy local outputs\nassets/\noutput/\noutput_videos/\ninput_videos/\n*.mp4\n*.mov\n*.mp3\n*.wav\n*.vtt\n*.jpg\n*.jpeg\n*.png\n\n# Local runtime data\ndata/performance/*.local.json\ndata/generated/\n''',
'pyproject.toml': '''[project]\nname = "autoshortsbot"\nversion = "0.1.0"\ndescription = "Growth-oriented pipeline for automated social-media shorts with human approval."\nrequires-python = ">=3.11"\ndependencies = []\n\n[project.optional-dependencies]\ndev = ["pytest>=8.0"]\n\n[tool.pytest.ini_options]\npythonpath = ["."]\ntestpaths = ["tests"]\n\n[tool.ruff]\nline-length = 100\ntarget-version = "py311"\n''',
'autoshorts/__init__.py': '''"""AutoShortsBot growth engine package."""\n\n__all__ = ["growth_plan"]\n''',
'autoshorts/growth_plan.py': '''"""Validation helpers for AutoShortsBot growth test batches."""\n\nfrom __future__ import annotations\n\nimport json\nfrom collections import Counter\nfrom pathlib import Path\nfrom typing import Any\n\nREQUIRED_IDEA_FIELDS = {\n    "id",\n    "pillar",\n    "title",\n    "platform_target",\n    "duration_seconds",\n    "hook",\n    "script_outline",\n    "visual_concept",\n    "caption",\n    "cta",\n    "quality_score",\n}\n\nEXPECTED_PILLARS = {"life_optimization", "ai_life_systems", "faithtok"}\n\n\ndef load_testbatch(path: Path) -> dict[str, Any]:\n    """Load a JSON test batch from disk."""\n    with path.open("r", encoding="utf-8") as handle:\n        return json.load(handle)\n\n\ndef duration_bucket(seconds: int) -> str:\n    """Classify duration for growth testing and TikTok rewards candidates."""\n    if seconds >= 60:\n        return "tiktok_rewards_candidate"\n    return "growth"\n\n\ndef validate_testbatch(batch: dict[str, Any]) -> dict[str, Any]:\n    """Return a compact validation summary for Telegram review and tests."""\n    ideas = batch.get("ideas", [])\n    pillar_counts = Counter(idea.get("pillar") for idea in ideas)\n    duration_counts = Counter(duration_bucket(int(idea.get("duration_seconds", 0))) for idea in ideas)\n\n    missing_fields: list[dict[str, Any]] = []\n    for idea in ideas:\n        missing = sorted(REQUIRED_IDEA_FIELDS - set(idea))\n        if missing:\n            missing_fields.append({"id": idea.get("id", "<missing-id>"), "missing": missing})\n\n    quality_scores = [int(idea.get("quality_score", 0)) for idea in ideas]\n\n    return {\n        "name": batch.get("name"),\n        "total_ideas": len(ideas),\n        "pillars": {pillar: pillar_counts.get(pillar, 0) for pillar in sorted(EXPECTED_PILLARS)},\n        "duration_buckets": {\n            "growth": duration_counts.get("growth", 0),\n            "tiktok_rewards_candidate": duration_counts.get("tiktok_rewards_candidate", 0),\n        },\n        "missing_fields": missing_fields,\n        "minimum_quality_score": min(quality_scores) if quality_scores else 0,\n    }\n''',
'configs/niches/life_optimization.json': json.dumps({
  "pillar": "life_optimization",
  "positioning": "Practical micro-systems for overloaded adults: less chaos, more focus, no hustle theatre.",
  "tone": ["direct", "empathetic", "anti-generic", "slightly contrarian"],
  "hook_patterns": ["If your head has 47 tabs open...", "You do not need more motivation...", "Your calendar tells the truth..."],
  "visual_rules": ["realistic desk, morning, phone, paper, timer", "visible first-frame text hook", "avoid abstract AI graphs"],
  "no_go": ["medical claims", "generic drink-water advice", "unverifiable health promises"]
}, indent=2, ensure_ascii=False),
'configs/niches/ai_life_systems.json': json.dumps({
  "pillar": "ai_life_systems",
  "positioning": "AI as a servant for ordinary life systems, never as values, conscience, or authority.",
  "tone": ["clear", "useful", "values-first", "non-hype"],
  "hook_patterns": ["AI is a bad god, but a good servant.", "The best prompt starts with context.", "A real AI butler is a system, not a chat window."],
  "visual_rules": ["screen-recording friendly", "cards for prompts", "human remains in control"],
  "no_go": ["fake earnings", "overpromising automation", "outsourcing moral decisions to AI"]
}, indent=2, ensure_ascii=False),
'configs/niches/faithtok.json': json.dumps({
  "pillar": "faithtok",
  "positioning": "Christian encouragement for overloaded modern life: faithful, honest, non-cringe, grace before performance.",
  "tone": ["reverent", "warm", "emotionally honest", "non-preachy"],
  "hook_patterns": ["God is not asking you to perform exhaustion.", "The algorithm wants your attention. God wants your heart.", "Busy is not always faithful."],
  "visual_rules": ["Bible, desk, window light, stillness, city life", "avoid denominational symbols unless deliberate", "no AI gibberish text in generated images"],
  "no_go": ["denominational fights", "prosperity-gospel promises", "weaponised guilt", "political culture-war bait"]
}, indent=2, ensure_ascii=False),
'configs/platforms/youtube_shorts.json': json.dumps({
  "platform": "youtube_shorts",
  "format": "vertical_or_square",
  "max_short_duration_seconds": 180,
  "monetization_path": "YPP: 1,000 subscribers + 10M valid public Shorts views in 90 days, or longform route.",
  "recommended_test_durations": [25, 35, 45, 60, 75]
}, indent=2, ensure_ascii=False),
'configs/platforms/tiktok.json': json.dumps({
  "platform": "tiktok",
  "format": "vertical_9_16",
  "creator_rewards_video_min_seconds": 60,
  "creator_rewards_join_requirements": "Selected countries; 10,000 followers; 100,000 authentic views in last 30 days; account in good standing; not business account.",
  "recommended_test_durations": [25, 35, 45, 61, 75]
}, indent=2, ensure_ascii=False),
'configs/platforms/instagram_reels.json': json.dumps({
  "platform": "instagram_reels",
  "format": "vertical_9_16",
  "role": "secondary distribution for the same approved assets",
  "recommended_test_durations": [20, 30, 45, 60]
}, indent=2, ensure_ascii=False),
'docs/telegram_review_loop.md': '''# Telegram Review Loop\n\nAutoShortsBot is semi-automatic first. No public posting happens without explicit approval.\n\n## Draft package sent to Telegram\n\nEach candidate should include:\n\n- preview video or script draft\n- pillar and format\n- title\n- duration\n- hook\n- caption\n- hashtags\n- quality score\n- policy notes\n- suggested platforms\n\n## Approval commands\n\n- `Freigabe alle`\n- `Freigabe YouTube`\n- `Freigabe TikTok`\n- `Freigabe Instagram`\n- `Ablehnen`\n- `Ändern: <requested change>`\n\n## Safety rule\n\nIf approval is ambiguous, do not post. Ask once in the AutoShortsBot Telegram topic.\n''',
'README.md': '''# AutoShortsBot\n\nAutoShortsBot is a growth-oriented pipeline for creating social-media shorts with a human approval loop.\n\n## Current phase\n\nPhase 1 prepares a semi-automatic testbatch workflow:\n\n1. Generate/curate scripts for three content pillars.\n2. Score each idea before rendering.\n3. Render previews locally.\n4. Send drafts/previews to Telegram for approval.\n5. Post manually or semi-automatically only after approval.\n6. Capture analytics and feed results back into the next batch.\n\n## Content pillars\n\n- `life_optimization` — practical micro-systems for overloaded adults.\n- `ai_life_systems` — AI as a servant for better life systems.\n- `faithtok` — Christian encouragement for overloaded modern life.\n\n## First testbatch\n\nThe first batch contains 9 ideas:\n\n- 3 Life Optimization\n- 3 AI Life Systems\n- 3 FaithTok\n\nMost are short growth candidates; selected items are 60+ seconds for TikTok Creator Rewards testing.\n\n## Secrets\n\nDo not commit secrets, `.env` files, OAuth tokens, generated credentials, or produced media files. Runtime secrets stay outside the repository.\n'''
}
for path, content in files.items():
    write_file(f'{root}/{path}', content if content.endswith('\n') else content+'\n')

batch={
  "name":"testbatch_001_growth_probe",
  "objective":"Validate three content pillars before implementing fully automated posting.",
  "approval_mode":"telegram_required_before_posting",
  "ideas":[
    {"id":"life-001","pillar":"life_optimization","title":"Der 2-Minuten-Reset gegen Chaos im Kopf","platform_target":["youtube_shorts","tiktok","instagram_reels"],"duration_seconds":32,"hook":"Wenn dein Kopf 47 Tabs offen hat, mach genau das.","script_outline":"Brain dump auf Papier. Alles ungefiltert raus. Dann eine Sache einkreisen, Timer auf zwei Minuten, nur starten. Klarheit kommt nach Bewegung, nicht vorher.","visual_concept":"Close-up: chaotischer Schreibtisch, Notizzettel, Timer, ruhige Handbewegungen; großer erster Text-Hook.","caption":"Wenn dein Kopf zu laut ist: nicht optimieren, entladen.","cta":"Speichern für den nächsten mentalen Overload.","quality_score":9,"risk_notes":"Keine Gesundheitsversprechen; als Alltagssystem formulieren."},
    {"id":"life-002","pillar":"life_optimization","title":"Der Anti-Doomscrolling-Trick","platform_target":["youtube_shorts","tiktok","instagram_reels"],"duration_seconds":35,"hook":"Wenn du TikTok öffnest und 40 Minuten verlierst, probier diesen hässlichen Trick.","script_outline":"Handy auf Graustufen, Apps vom Homescreen, Ladegerät raus aus dem Schlafzimmer. Nicht mehr Willenskraft, sondern weniger Reibung für die richtige Entscheidung.","visual_concept":"Smartphone wechselt von bunt zu grau; Schlafzimmer ohne Handy; schnelle Before/After Schnitte.","caption":"Willenskraft ist schwach. Umgebung schlägt Dopamin.","cta":"Willst du eine 7-Tage-Digital-Reset-Serie?","quality_score":9,"risk_notes":"Nicht plattformfeindlich formulieren; Fokus auf bewusste Nutzung."},
    {"id":"life-003","pillar":"life_optimization","title":"Stop optimizing everything","platform_target":["youtube_shorts","tiktok","instagram_reels"],"duration_seconds":61,"hook":"Nicht alles in deinem Leben muss optimiert werden.","script_outline":"Optimiere Schlaf, Fokus und Energie — aber nicht Liebe, Gebet, Freundschaft und Spiel. Wenn alles Output wird, verlierst du das Leben, das du verbessern wolltest.","visual_concept":"Produktivitätssetup wird geschlossen; Spaziergang, Familie, Fensterlicht, ruhiger Loop zurück zum Desk.","caption":"Ein besseres Leben ist nicht immer ein effizienteres Leben.","cta":"Was willst du bewusst nicht optimieren?","quality_score":9,"risk_notes":"Starker Kontrast, aber keine Anti-Produktivitäts-Pose."},
    {"id":"ai-001","pillar":"ai_life_systems","title":"Use AI like a servant, not like a god","platform_target":["youtube_shorts","tiktok","instagram_reels"],"duration_seconds":44,"hook":"KI ist ein schlechter Gott, aber ein ziemlich guter Diener.","script_outline":"KI darf sortieren, erinnern, entwerfen und kritisieren. Aber Werte, Gewissen und letzte Entscheidungen bleiben beim Menschen. Erst Ziel, dann Tool.","visual_concept":"Mensch schreibt Werte auf Papier; KI sortiert Aufgaben als Cards; klare Herr-Diener-Metapher ohne religiösen Kitsch.","caption":"Use AI for stewardship, not surrender.","cta":"Wofür nutzt du KI — Diener oder Chef?","quality_score":10,"risk_notes":"Keine konkrete Tool-Werbung; wertorientiert."},
    {"id":"ai-002","pillar":"ai_life_systems","title":"KI gegen mental overload","platform_target":["youtube_shorts","tiktok","instagram_reels"],"duration_seconds":38,"hook":"Wenn dein Kopf zu laut ist, lass KI nicht denken — lass sie sortieren.","script_outline":"Brain dump einfügen. KI soll nur clustern: Sorgen, Aufgaben, Entscheidungen, später. Dann eine nächste Aktion und einen Kalenderblock vorschlagen.","visual_concept":"Chaotischer Text wird in vier klare Spalten umgewandelt; Cursor, Cards, ruhige Musik.","caption":"AI should reduce noise, not become another noise source.","cta":"Kommentar RESET, wenn du das Prompt-Template willst.","quality_score":9,"risk_notes":"Prompt nicht als Therapieersatz darstellen."},
    {"id":"ai-003","pillar":"ai_life_systems","title":"Dein persönlicher JARVIS in 60 Sekunden","platform_target":["youtube_shorts","tiktok","instagram_reels"],"duration_seconds":75,"hook":"Ein echter AI-Butler ist nicht ein Chatfenster. Es ist ein System.","script_outline":"Memory, Kalender, Aufgaben, Regeln und Freigaben. Der Bot darf vorbereiten, aber vor Side Effects fragt er. Das ist nicht Magie; das ist Architektur.","visual_concept":"Animiertes Systemdiagramm: Memory, Calendar, Tasks, Approval Gate, Publishing; dunkles Tech-Design.","caption":"A real AI assistant is architecture plus boundaries.","cta":"Soll ich zeigen, wie man so etwas baut?","quality_score":10,"risk_notes":"Keine sensiblen echten Daten zeigen; Architektur abstrahieren."},
    {"id":"faith-001","pillar":"faithtok","title":"God is not asking you to perform exhaustion","platform_target":["youtube_shorts","tiktok","instagram_reels"],"duration_seconds":42,"hook":"Maybe God is not asking you to perform your exhaustion.","script_outline":"Some days the most faithful prayer is honest weakness. You do not need to impress God with spiritual productivity. Come tired, but come truthfully.","visual_concept":"Müde Person am Tisch, Bibel, Tee/Kaffee, Morgenlicht; sehr ruhiger emotionaler Stil.","caption":"You can come tired. You do not have to come fake.","cta":"Send this to someone tired of pretending.","quality_score":10,"risk_notes":"Keine konfessionelle Zuspitzung; seelsorgerlich, nicht therapeutisch."},
    {"id":"faith-002","pillar":"faithtok","title":"Jesus was not impressed by productivity theater","platform_target":["youtube_shorts","tiktok","instagram_reels"],"duration_seconds":58,"hook":"Jesus was never impressed by people looking busy.","script_outline":"Busy can be faithful, but it can also be hiding. Martha was serving; Mary was listening. The question is not: are you active? The question is: are you present to God?","visual_concept":"Hektischer Desk, viele Tabs, dann Laptop zu, Bibel offen, stilles Licht.","caption":"Busy is not always faithful.","cta":"Busy or faithful — what are you chasing?","quality_score":10,"risk_notes":"Biblische Referenz vorsichtig und kurz; nicht belehrend."},
    {"id":"faith-003","pillar":"faithtok","title":"The algorithm wants your attention. God wants your heart.","platform_target":["youtube_shorts","tiktok","instagram_reels"],"duration_seconds":68,"hook":"The algorithm wants your attention. God wants your heart.","script_outline":"Every morning something asks for your first attention. Notifications form you. Silence forms you too. Before the feed gets your eyes, give God your first honest minute.","visual_concept":"Handy im Bett, Benachrichtigungen, dann Flugmodus, Bibel/Journal, Fensterlicht; Loop zurück zum Handy.","caption":"Your first attention is not a small thing.","cta":"What gets your first attention every morning?","quality_score":10,"risk_notes":"Nicht anti-social-media, sondern attention stewardship."}
  ]
}
write_file(f'{root}/data/drafts/testbatch_001.json', json.dumps(batch, indent=2, ensure_ascii=False)+'\n')
print('wrote', len(files)+1, 'files')


Output: wrote 13 files


todo

Projektstruktur, Konfigurationen und Testbatch-Drafts anlegen

Tests/Validierung hinzufügen und ausführen


Repo-Status prüfen und Arbeitsbranch erstellen

Committen und in GitHub pushen


terminal

Output:
...                                                                      [100%]
3 passed in 0.05s


python3 - <<'PY'
from pathlib import Path
from autoshorts.growth_plan import load_testbatch, validate_testbatch
print(validate_testbatch(load_testbatch(Path('data/drafts/testbatch_001.json'))))
PY
git status --short


Output:
{'name': 'testbatch_001_growth_probe', 'total_ideas': 9, 'pillars': {'ai_life_systems': 3, 'faithtok': 3, 'life_optimization': 3}, 'duration_buckets': {'growth': 6, 'tiktok_rewards_candidate': 3}, 'missing_fields': [], 'minimum_quality_score': 9}
 M README.md
?? .gitignore
?? autoshorts/
?? configs/
?? data/
?? docs/
?? pyproject.toml
?? tests/


todo

Committen und in GitHub pushen


terminal

set -euo pipefail
cd /home/agent/jarvis_runtime/AutoShortsBot
git diff --stat
git add .
git commit -m "feat: initialize growth engine testbatch"


Output:
README.md | 35 ++++++++++++++++++++++++++++++++++-
 1 file changed, 34 insertions(+), 1 deletion(-)
Identität des Autors unbekannt

*** Bitte geben Sie an, wer Sie sind.

Führen Sie

  git config --global user.email "you@example.com"
  git config --global user.name "Your Name"

aus, um das als Ihre standardmäßige Identität zu setzen.
Lassen Sie die Option "--global" weg, um die Identität nur
für dieses Repository zu setzen.

fatal: Konnte die E-Mail-Adresse nicht automatisch erkennen ('agent@agent.(none)' erhalten)


Explanation:
**Configuring Git settings**

I need to set up the local git configuration. It’s important to make sure everything is properly configured so the projects I work on have the necessary details like user name and email. This way, when I make commits, they'll reflect the right identity. Let's explore what specific settings I should adjust and ensure I’m following best practices. I just want to get it right the first time!

set -euo pipefail
cd /home/agent/jarvis_runtime/AutoShortsBot
git config user.name "JARVIS"
git config user.email "jarvis@local"
git add .
git commit -m "feat: initialize growth engine testbatch"


Output:
[feat/initial-growth-engine f83469d] feat: initialize growth engine testbatch
 14 files changed, 499 insertions(+), 1 deletion(-)
 create mode 100644 .gitignore
 create mode 100644 autoshorts/__init__.py
 create mode 100644 autoshorts/growth_plan.py
 create mode 100644 configs/niches/ai_life_systems.json
 create mode 100644 configs/niches/faithtok.json
 create mode 100644 configs/niches/life_optimization.json
 create mode 100644 configs/platforms/instagram_reels.json
 create mode 100644 configs/platforms/tiktok.json
 create mode 100644 configs/platforms/youtube_shorts.json
 create mode 100644 data/drafts/testbatch_001.json
 create mode 100644 docs/telegram_review_loop.md
 create mode 100644 pyproject.toml
 create mode 100644 tests/test_growth_plan.py


set -euo pipefail
cd /home/agent/jarvis_runtime/AutoShortsBot
export GITHUB_TOKEN=$(tr -d '\n\r' < /home/agent/.hermes/secrets/github_autoshortsbot_token)
ASKPASS=$(mktemp)
cat > "$ASKPASS" <<'SH'
#!/bin/sh
case "$1" in
  *Username*) printf '%s\n' x-access-token ;;
  *Password*) printf '%s\n' "$GITHUB_TOKEN" ;;
  *) printf '\n' ;;
esac
SH
chmod 700 "$ASKPASS"
trap 'rm -f "$ASKPASS"' EXIT
GIT_ASKPASS="$ASKPASS" GIT_TERMINAL_PROMPT=0 git push -u origin HEAD >/tmp/autoshorts_push.log 2>&1 || { sed -E 's/(github_pat_|ghp_)[A-Za-z0-9_]+/[REDACTED]/g' /tmp/autoshorts_push.log; exit 1; }
BRANCH=$(git branch --show-current)
LOCAL=$(git rev-parse HEAD)
REMOTE=$(GIT_ASKPASS="$ASKPASS" GIT_TERMINAL_PROMPT=0 git ls-remote origin "refs/heads/$BRANCH" | awk '{print $1}')
printf 'branch=%s\nlocal=%s\nremote=%s\n' "$BRANCH" "$LOCAL" "$REMOTE"
test "$LOCAL" = "$REMOTE"
cat /tmp/autoshorts_push.log | sed -E 's/(github_pat_|ghp_)[A-Za-z0-9_]+/[REDACTED]/g'


Output:
branch=feat/initial-growth-engine
local=f83469d477f24aef2612d398f8848ff0bb16129e
remote=f83469d477f24aef2612d398f8848ff0bb16129e
remote:
remote: Create a pull request for 'feat/initial-growth-engine' on GitHub by visiting:
remote:      https://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine
remote:
To https://github.com/Gamexgit/AutoShortsBot.git
 * [new branch]      HEAD -> feat/initial-growth-engine
Branch 'feat/initial-growth-engine' folgt nun 'origin/feat/initial-growth-engine'.


Explanation:
**Considering creating a PR**

The user mentioned preparing a repo, and I’m thinking about whether I should create a PR. It seems like using an API token could help with that, but perhaps just using a direct branch would suffice. I'll go for creating a PR if that's possible. I need to use curl with the token, but I realize there's no need for a table in this context. It feels like this should work out!

set -euo pipefail
cd /home/agent/jarvis_runtime/AutoShortsBot
export GITHUB_TOKEN=$(tr -d '\n\r' < /home/agent/.hermes/secrets/github_autoshortsbot_token)
python3 - <<'PY'
import json, os, urllib.request, urllib.error
body={
 'title':'feat: initialize growth engine testbatch',
 'head':'feat/initial-growth-engine',
 'base':'main',
 'body':'## Summary\n- Initializes AutoShortsBot repo structure\n- Adds three niche strategy configs and platform configs\n- Adds first 9-idea semi-automatic testbatch\n- Adds Telegram review-loop docs and validation tests\n\n## Test Plan\n- `python3 -m pytest -q`\n',
 'draft': False,
}
req=urllib.request.Request('https://api.github.com/repos/Gamexgit/AutoShortsBot/pulls', data=json.dumps(body).encode(), headers={'Authorization':'Bearer '+os.environ['GITHUB_TOKEN'],'Accept':'application/vnd.github+json','Content-Type':'application/json'}, method='POST')
try:
    with urllib.request.urlopen(req, timeout=30) as r:
        data=json.load(r)
    print('PR_CREATED', data['number'], data['html_url'])
except urllib.error.HTTPError as e:
    text=e.read().decode('utf-8','ignore')
    print('PR_CREATE_FAILED', e.code, text[:500])
PY


Output: PR_CREATE_FAILED 403 {"message":"Resource not accessible by personal access token","documentation_url":"https://docs.github.com/rest/pulls/pulls#create-a-pull-request","status":"403"}


todo

Committen und in GitHub pushen


Erledigt, Sir.

## Repo vorbereitet

Ich habe das GitHub-Repo lokal sauber initialisiert und einen ersten Arbeitsstand gepusht.

- **Repo:** `https://github.com/Gamexgit/AutoShortsBot`
- **Lokaler Pfad:** `~/jarvis_runtime/AutoShortsBot`
- **Branch:** `feat/initial-growth-engine`
- **Commit:** `f83469d`
- **Push verifiziert:** lokaler Commit == Remote-Commit

Pull Request konnte ich mit dem vorhandenen Fine-grained Token **nicht automatisch erstellen**, weil der Token zwar pushen darf, aber offenbar keine PR-Erstellungsrechte hat:

`Resource not accessible by personal access token`

Manuell kannst du den PR hier öffnen:

https://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine

---

## Angelegte Struktur

Ich habe die Basisstruktur vorbereitet:

```text
AutoShortsBot/
  autoshorts/
    __init__.py
    growth_plan.py
  configs/
    niches/
      life_optimization.json
      ai_life_systems.json
      faithtok.json
    platforms/
      youtube_shorts.json
      tiktok.json
      instagram_reels.json
  data/
    drafts/
      testbatch_001.json
  docs/
    telegram_review_loop.md
  tests/
    test_growth_plan.py
  .gitignore
  pyproject.toml
  README.md
```

---

## Enthalten im ersten Stand

### 1. Drei Content-Säulen

- `life_optimization`
- `ai_life_systems`
- `faithtok`

Jeweils mit:

- Positionierung
- Tonalität
- Hook-Patterns
- Visual Rules
- No-Go-Liste

### 2. Plattform-Configs

- YouTube Shorts
- TikTok
- Instagram Reels

Inklusive relevanter Längen-/Monetarisierungsnotizen.

### 3. Erster Testbatch

Datei:

`data/drafts/testbatch_001.json`

Enthält **9 Testideen**:

- 3 × Life Optimization
- 3 × AI Life Systems
- 3 × FaithTok

Davon:

- **6 Growth-Kandidaten** unter 60 Sekunden
- **3 TikTok-Rewards-Kandidaten** mit 60+ Sekunden

### 4. Telegram Review Loop

Datei:

`docs/telegram_review_loop.md`

Dort festgelegt:

- Kein Posting ohne Freigabe
- Review-Paket enthält Script/Preview, Hook, Caption, Hashtags, Score usw.
- Freigabe-Kommandos:
  - `Freigabe alle`
  - `Freigabe YouTube`
  - `Freigabe TikTok`
  - `Freigabe Instagram`
  - `Ablehnen`
  - `Ändern: ...`

---

## Validierung

Tests wurden angelegt und ausgeführt.

Ergebnis:

```text
3 passed in 0.05s
```

Validierungszusammenfassung:

```text
total_ideas: 9
pillars:
  ai_life_systems: 3
  faithtok: 3
  life_optimization: 3
duration_buckets:
  growth: 6
  tiktok_rewards_candidate: 3
missing_fields: []
minimum_quality_score: 9
```

---

## Nächster sinnvoller Schritt

Als Nächstes würde ich den **Script-Draft-Generator + Review-Formatter** implementieren:

1. Aus `testbatch_001.json` wird pro Idee ein vollständiger Script Draft erzeugt.
2. Ausgabe im Telegram-tauglichen Review-Format.
3. Noch kein Rendering, noch kein Posting.
4. Du wählst zuerst Tonalität und Favoriten.
5. Danach bauen wir Rendering/Preview.

Kurz: Erst Sprache und Format treffen lassen, dann Videos rendern. Sonst produzieren wir hübsche Clips mit mittelmäßigem Text — eine besonders moderne Form von Zeitverschwendung.


[M G] Ok, leg los.


Explanation:
**Continuing with planning**

I need to keep moving forward here. Should I load relevant skills? I already have TDD and GitHub loaded, which might be enough for now. Maybe I need to create a plan? I also have to implement a script draft generator and review the formatter. Using tools is essential, and I should remember to follow TDD principles. I'll also need to inspect what’s currently in place before jumping into implementation!

Tests für Script-Draft-Generator und Telegram-Review-Formatter schreiben

Generator/Formatter minimal implementieren

Review-Drafts für Testbatch erzeugen und prüfen

Änderungen testen, committen und pushen


Änderungen testen, committen und pushen


terminal

git status --short --branch && python3 -m pytest -q


Output:
## feat/initial-growth-engine...origin/feat/initial-growth-engine
...                                                                      [100%]
3 passed in 0.03s


from pathlib import Path

from autoshorts.growth_plan import load_testbatch
from autoshorts.script_drafts import build_script_draft, format_telegram_review, write_review_drafts

def test_build_script_draft_has_timed_sections_and_platform_note():
    batch = load_testbatch(Path("data/drafts/testbatch_001.json"))
    idea = batch["ideas"][0]

    draft = build_script_draft(idea)

    assert draft["id"] == idea["id"]
    assert draft["duration_seconds"] == idea["duration_seconds"]
    assert draft["sections"][0]["label"] == "Hook"
    assert draft["sections"][0]["text"] == idea["hook"]
    assert sum(section["seconds"] for section in draft["sections"]) == idea["duration_seconds"]
    assert draft["platform_note"] == "Growth Short"
    assert draft["hashtags"]

def test_build_script_draft_marks_tiktok_rewards_candidate():
    batch = load_testbatch(Path("data/drafts/testbatch_001.json"))
    idea = next(item for item in batch["ideas"] if item["duration_seconds"] >= 60)

    draft = build_script_draft(idea)

    assert draft["platform_note"] == "TikTok Rewards Candidate"
    assert draft["sections"][-1]["label"] == "CTA"

def test_format_telegram_review_contains_approval_commands():
    batch = load_testbatch(Path("data/drafts/testbatch_001.json"))
    draft = build_script_draft(batch["ideas"][0])

    text = format_telegram_review(draft)

    assert "## AutoShortsBot Review" in text
    assert "Freigabe alle" in text
    assert draft["hook"] in text
    assert "Quality Score" in text

def test_write_review_drafts_creates_one_markdown_per_idea(tmp_path):
    batch = load_testbatch(Path("data/drafts/testbatch_001.json"))

    paths = write_review_drafts(batch, tmp_path)

    assert len(paths) == 9
    first = paths[0].read_text(encoding="utf-8")
    assert "AutoShortsBot Review" in first
    assert paths[0].suffix == ".md"


LSP diagnostics introduced by this edit:
<diagnostics file="/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py">
ERROR [4:6] Import "autoshorts.script_drafts" could not be resolved [reportMissingImports] (Pyright)
</diagnostics>


python3 -m pytest tests/test_script_drafts.py -q


Output:
==================================== ERRORS ====================================
_________________ ERROR collecting tests/test_script_drafts.py _________________
ImportError while importing test module '/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
../../.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/importlib/__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests/test_script_drafts.py:4: in <module>
    from autoshorts.script_drafts import build_script_draft, format_telegram_review, write_review_drafts
E   ModuleNotFoundError: No module named 'autoshorts.script_drafts'
=========================== short test summary info ============================
ERROR tests/test_script_drafts.py
!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!
1 error in 0.11s


todo

Änderungen testen, committen und pushen


"""Script draft and Telegram review formatting helpers."""

from __future__ import annotations

import re
from pathlib import Path
from typing import Any

def _slug(value: str) -> str:
    slug = re.sub(r"[^a-zA-Z0-9]+", "-", value.lower()).strip("-")
    return slug or "draft"

def _hashtags_for_pillar(pillar: str) -> list[str]:
    defaults = {
        "life_optimization": ["#focus", "#selfimprovement", "#lifesystems", "#mindset"],
        "ai_life_systems": ["#ai", "#productivity", "#prompts", "#lifesystems"],
        "faithtok": ["#faithtok", "#christian", "#prayer", "#discipline"],
    }
    return defaults.get(pillar, ["#shorts", "#growth"])

def _allocate_sections(duration_seconds: int) -> list[tuple[str, int]]:
    """Allocate simple timed sections that sum exactly to the target duration."""
    hook = min(3, max(2, duration_seconds // 10))
    cta = min(5, max(3, duration_seconds // 12))
    setup = max(5, int(duration_seconds * 0.24))
    value = max(8, duration_seconds - hook - cta - setup)
    total = hook + setup + value + cta
    value += duration_seconds - total
    return [("Hook", hook), ("Setup", setup), ("Core Value", value), ("CTA", cta)]

def build_script_draft(idea: dict[str, Any]) -> dict[str, Any]:
    """Build a deterministic first script draft from a curated testbatch idea."""
    duration = int(idea["duration_seconds"])
    allocations = _allocate_sections(duration)
    outline = idea["script_outline"].strip()
    hook = idea["hook"].strip()
    cta = idea["cta"].strip()

    sections = [
        {"label": "Hook", "seconds": allocations[0][1], "text": hook},
        {
            "label": "Setup",
            "seconds": allocations[1][1],
            "text": _setup_line(idea),
        },
        {
            "label": "Core Value",
            "seconds": allocations[2][1],
            "text": outline,
        },
        {"label": "CTA", "seconds": allocations[3][1], "text": cta},
    ]

    return {
        "id": idea["id"],
        "pillar": idea["pillar"],
        "title": idea["title"],
        "duration_seconds": duration,
        "platform_target": idea["platform_target"],
        "platform_note": "TikTok Rewards Candidate" if duration >= 60 else "Growth Short",
        "hook": hook,
        "sections": sections,
        "visual_concept": idea["visual_concept"],
        "caption": idea["caption"],
        "cta": cta,
        "hashtags": _hashtags_for_pillar(idea["pillar"]),
        "quality_score": int(idea["quality_score"]),
        "risk_notes": idea.get("risk_notes", ""),
    }

def _setup_line(idea: dict[str, Any]) -> str:
    pillar = idea["pillar"]
    if pillar == "faithtok":
        return "A quiet, honest moment for people who feel spiritually tired but still want to return to God."
    if pillar == "ai_life_systems":
        return "The point is not hype. The point is a simple system where the human stays in charge."
    return "This is not another motivation trick. It is a small environmental system you can test today."

def format_telegram_review(draft: dict[str, Any]) -> str:
    """Format a draft for Telegram approval review."""
    platforms = ", ".join(draft["platform_target"])
    hashtags = " ".join(draft["hashtags"])
    sections = "\n".join(
        f"- **{section['label']}** ({section['seconds']}s): {section['text']}"
        for section in draft["sections"]
    )
    return f"""## AutoShortsBot Review

**ID:** `{draft['id']}`
**Pillar:** `{draft['pillar']}`
**Title:** {draft['title']}
**Duration:** {draft['duration_seconds']}s — {draft['platform_note']}
**Platforms:** {platforms}
**Quality Score:** {draft['quality_score']}/10

**Hook:** {draft['hook']}

**Script Draft:**
{sections}

**Visual Concept:** {draft['visual_concept']}

**Caption:** {draft['caption']}
**Hashtags:** {hashtags}

**Policy/Risk Notes:** {draft['risk_notes'] or 'Keine besonderen Risiken.'}

**Approval commands:**
- `Freigabe alle`
- `Freigabe YouTube`
- `Freigabe TikTok`
- `Freigabe Instagram`
- `Ablehnen`
- `Ändern: <Wunsch>`
"""

def write_review_drafts(batch: dict[str, Any], output_dir: Path) -> list[Path]:
    """Write one Telegram-ready Markdown review file per idea."""
    output_dir.mkdir(parents=True, exist_ok=True)
    written: list[Path] = []
    for idea in batch.get("ideas", []):
        draft = build_script_draft(idea)
        path = output_dir / f"{draft['id']}-{_slug(draft['title'])}.md"
        path.write_text(format_telegram_review(draft), encoding="utf-8")
        written.append(path)
    return written


patch

__all__ = ["growth_plan", "script_drafts"]


--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__init__.py
+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__init__.py
@@ -1,3 +1,3 @@
 """AutoShortsBot growth engine package."""

-__all__ = ["growth_plan"]
+__all__ = ["growth_plan", "script_drafts"]


terminal

python3 -m pytest tests/test_script_drafts.py -q && python3 -m pytest -q


Output:
....                                                                     [100%]
4 passed in 0.04s
.......                                                                  [100%]
7 passed in 0.04s


todo

Änderungen testen, committen und pushen


"""Command line entrypoint for generating Telegram review drafts."""

from __future__ import annotations

import argparse
from pathlib import Path

from autoshorts.growth_plan import load_testbatch, validate_testbatch
from autoshorts.script_drafts import write_review_drafts

def main() -> None:
    parser = argparse.ArgumentParser(description="Generate Telegram-ready AutoShortsBot review drafts.")
    parser.add_argument("--batch", default="data/drafts/testbatch_001.json", help="Path to testbatch JSON")
    parser.add_argument(
        "--out",
        default="data/reviews/testbatch_001",
        help="Output directory for Markdown review files",
    )
    args = parser.parse_args()

    batch = load_testbatch(Path(args.batch))
    summary = validate_testbatch(batch)
    paths = write_review_drafts(batch, Path(args.out))

    print(f"Generated {len(paths)} review drafts in {args.out}")
    print(f"Validation: {summary}")

if __name__ == "__main__":
    main()


terminal

python3 scripts/generate_review_drafts.py --batch data/drafts/testbatch_001.json --out data/reviews/testbatch_001
python3 - <<'PY'
from pathlib import Path
files=sorted(Path('data/reviews/testbatch_001').glob('*.md'))
print('review_files', len(files))
print(files[0])
print(files[0].read_text(encoding='utf-8')[:1200])
PY


Output:
Traceback (most recent call last):
  File "/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py", line 8, in <module>
    from autoshorts.growth_plan import load_testbatch, validate_testbatch
ModuleNotFoundError: No module named 'autoshorts'
review_files 0
Traceback (most recent call last):
  File "<stdin>", line 4, in <module>
IndexError: list index out of range


Explanation:
**Resolving script run path issues**

I'm dealing with a script run path issue since Python sets the scripts directory. To fix this, I might need to insert the root directory into the path. I’m wondering if I should add any tests, but maybe not necessary right now. I think using a patch should be the way to go. It’s a bit challenging to navigate, but I’m focused on finding the best solution here!

patch

import argparse
from pathlib import Path

from autoshorts.growth_plan import load_testbatch, validate_testbatch
from autoshorts.script_drafts import write_review_drafts

import argparse
import sys
from pathlib import Path

PROJECT_ROOT = Path(__file__).resolve().parents[1]
if str(PROJECT_ROOT) not in sys.path:
    sys.path.insert(0, str(PROJECT_ROOT))

from autoshorts.growth_plan import load_testbatch, validate_testbatch
from autoshorts.script_drafts import write_review_drafts


--- a//home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py
+++ b//home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py
@@ -3,7 +3,12 @@
 from __future__ import annotations

 import argparse
+import sys
 from pathlib import Path
+
+PROJECT_ROOT = Path(__file__).resolve().parents[1]
+if str(PROJECT_ROOT) not in sys.path:
+    sys.path.insert(0, str(PROJECT_ROOT))

 from autoshorts.growth_plan import load_testbatch, validate_testbatch
 from autoshorts.script_drafts import write_review_drafts


terminal

python3 scripts/generate_review_drafts.py --batch data/drafts/testbatch_001.json --out data/reviews/testbatch_001
python3 - <<'PY'
from pathlib import Path
files=sorted(Path('data/reviews/testbatch_001').glob('*.md'))
print('review_files', len(files))
print(files[0])
print(files[0].read_text(encoding='utf-8')[:1500])
PY


Output:
Generated 9 review drafts in data/reviews/testbatch_001
Validation: {'name': 'testbatch_001_growth_probe', 'total_ideas': 9, 'pillars': {'ai_life_systems': 3, 'faithtok': 3, 'life_optimization': 3}, 'duration_buckets': {'growth': 6, 'tiktok_rewards_candidate': 3}, 'missing_fields': [], 'minimum_quality_score': 9}
review_files 9
data/reviews/testbatch_001/ai-001-use-ai-like-a-servant-not-like-a-god.md
## AutoShortsBot Review

**ID:** `ai-001`
**Pillar:** `ai_life_systems`
**Title:** Use AI like a servant, not like a god
**Duration:** 44s — Growth Short
**Platforms:** youtube_shorts, tiktok, instagram_reels
**Quality Score:** 10/10

**Hook:** KI ist ein schlechter Gott, aber ein ziemlich guter Diener.

**Script Draft:**
- **Hook** (3s): KI ist ein schlechter Gott, aber ein ziemlich guter Diener.
- **Setup** (10s): The point is not hype. The point is a simple system where the human stays in charge.
- **Core Value** (28s): KI darf sortieren, erinnern, entwerfen und kritisieren. Aber Werte, Gewissen und letzte Entscheidungen bleiben beim Menschen. Erst Ziel, dann Tool.
- **CTA** (3s): Wofür nutzt du KI — Diener oder Chef?

**Visual Concept:** Mensch schreibt Werte auf Papier; KI sortiert Aufgaben als Cards; klare Herr-Diener-Metapher ohne religiösen Kitsch.

**Caption:** Use AI for stewardship, not surrender.
**Hashtags:** #ai #productivity #prompts #lifesystems

**Policy/Risk Notes:** Keine konkrete Tool-Werbung; wertorientiert.

**Approval commands:**
- `Freigabe alle`
- `Freigabe YouTube`
- `Freigabe TikTok`
- `Freigabe Instagram`
- `Ablehnen`
- `Ändern: <Wunsch>`


Explanation:
**Considering review management**

I’m thinking about whether generated reviews should be committed. They’re drafts, but maybe that’s fine for now. I would want to ensure that my .gitignore excludes data/generated but not reviews. After running tests, I think I’ll commit and push. Also, I wonder if we should improve mixed languages since the user is using German, but the content could be in English. It might be good to add documentation too, so I need to inspect the file list.

todo

Änderungen testen, committen und pushen


terminal

python3 -m pytest -q
git status --short
git diff --stat


Output:
.......                                                                  [100%]
7 passed in 0.03s
 M autoshorts/__init__.py
?? autoshorts/script_drafts.py
?? data/reviews/
?? scripts/
?? tests/test_script_drafts.py
 autoshorts/__init__.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)


set -euo pipefail
git add autoshorts/__init__.py autoshorts/script_drafts.py data/reviews scripts tests/test_script_drafts.py
git commit -m "feat: add script draft review generator"


Output:
[feat/initial-growth-engine 2100bfd] feat: add script draft review generator
 13 files changed, 501 insertions(+), 1 deletion(-)
 create mode 100644 autoshorts/script_drafts.py
 create mode 100644 data/reviews/testbatch_001/ai-001-use-ai-like-a-servant-not-like-a-god.md
 create mode 100644 data/reviews/testbatch_001/ai-002-ki-gegen-mental-overload.md
 create mode 100644 data/reviews/testbatch_001/ai-003-dein-pers-nlicher-jarvis-in-60-sekunden.md
 create mode 100644 data/reviews/testbatch_001/faith-001-god-is-not-asking-you-to-perform-exhaustion.md
 create mode 100644 data/reviews/testbatch_001/faith-002-jesus-was-not-impressed-by-productivity-theater.md
 create mode 100644 data/reviews/testbatch_001/faith-003-the-algorithm-wants-your-attention-god-wants-your-heart.md
 create mode 100644 data/reviews/testbatch_001/life-001-der-2-minuten-reset-gegen-chaos-im-kopf.md
 create mode 100644 data/reviews/testbatch_001/life-002-der-anti-doomscrolling-trick.md
 create mode 100644 data/reviews/testbatch_001/life-003-stop-optimizing-everything.md
 create mode 100644 scripts/generate_review_drafts.py
 create mode 100644 tests/test_script_drafts.py


set -euo pipefail
cd /home/agent/jarvis_runtime/AutoShortsBot
export GITHUB_TOKEN=$(tr -d '\n\r' < /home/agent/.hermes/secrets/github_autoshortsbot_token)
ASKPASS=$(mktemp)
cat > "$ASKPASS" <<'SH'
#!/bin/sh
case "$1" in
  *Username*) printf '%s\n' x-access-token ;;
  *Password*) printf '%s\n' "$GITHUB_TOKEN" ;;
  *) printf '\n' ;;
esac
SH
chmod 700 "$ASKPASS"
trap 'rm -f "$ASKPASS"' EXIT
GIT_ASKPASS="$ASKPASS" GIT_TERMINAL_PROMPT=0 git push >/tmp/autoshorts_push2.log 2>&1 || { sed -E 's/(github_pat_|ghp_)[A-Za-z0-9_]+/[REDACTED]/g' /tmp/autoshorts_push2.log; exit 1; }
BRANCH=$(git branch --show-current)
LOCAL=$(git rev-parse HEAD)
REMOTE=$(GIT_ASKPASS="$ASKPASS" GIT_TERMINAL_PROMPT=0 git ls-remote origin "refs/heads/$BRANCH" | awk '{print $1}')
printf 'branch=%s\nlocal=%s\nremote=%s\n' "$BRANCH" "$LOCAL" "$REMOTE"
test "$LOCAL" = "$REMOTE"
cat /tmp/autoshorts_push2.log | sed -E 's/(github_pat_|ghp_)[A-Za-z0-9_]+/[REDACTED]/g'


Output:
branch=feat/initial-growth-engine
local=2100bfddca9f269608e3155cb0c4a45c114daffd
remote=2100bfddca9f269608e3155cb0c4a45c114daffd
To https://github.com/Gamexgit/AutoShortsBot.git
   f83469d..2100bfd  feat/initial-growth-engine -> feat/initial-growth-engine


git status --short --branch
python3 -m pytest -q


Output:
## feat/initial-growth-engine...origin/feat/initial-growth-engine
.......                                                                  [100%]
7 passed in 0.03s


todo

Änderungen testen, committen und pushen


Erledigt, Sir.

## Implementiert

Im Repo/Branch `feat/initial-growth-engine` ist jetzt zusätzlich enthalten:

- `autoshorts/script_drafts.py`
  - erzeugt deterministische Script-Drafts aus dem Testbatch
  - klassifiziert Videos als:
    - `Growth Short`
    - `TikTok Rewards Candidate`
  - erstellt Telegram-taugliche Review-Texte

- `scripts/generate_review_drafts.py`
  - CLI-Script zum Generieren der Review-Dateien

- `data/reviews/testbatch_001/*.md`
  - 9 vorbereitete Review-Drafts, je einer pro Testidee

- `tests/test_script_drafts.py`
  - Tests für Generator, Review-Format und Datei-Erzeugung

## Validierung

Tests laufen sauber:

```text
7 passed in 0.03s
```

## GitHub

Gepusht auf:

```text
feat/initial-growth-engine
```

Letzter Commit:

```text
2100bfd feat: add script draft review generator
```

Remote-Verifikation erfolgreich:

```text
local == remote
```

PR-Link bleibt:

https://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine

---

## Beispiel: erzeugter Review-Draft

```text
## AutoShortsBot Review

ID: ai-001
Pillar: ai_life_systems
Title: Use AI like a servant, not like a god
Duration: 44s — Growth Short
Platforms: youtube_shorts, tiktok, instagram_reels
Quality Score: 10/10

Hook:
KI ist ein schlechter Gott, aber ein ziemlich guter Diener.

Script Draft:
- Hook (3s): KI ist ein schlechter Gott, aber ein ziemlich guter Diener.
- Setup (10s): The point is not hype. The point is a simple system where the human stays in charge.
- Core Value (28s): KI darf sortieren, erinnern, entwerfen und kritisieren. Aber Werte, Gewissen und letzte Entscheidungen bleiben beim Menschen. Erst Ziel, dann Tool.
- CTA (3s): Wofür nutzt du KI — Diener oder Chef?
```

---

## Wichtige Beobachtung

Die Drafts sind aktuell bewusst noch **strukturelle Script-Drafts**, nicht finale Voiceover-Skripte. Sie sind gut genug für Review und Auswahl, aber vor Rendering würde ich noch eine nächste Stufe ergänzen:

## Nächster Schritt

Ich empfehle als Nächstes:

1. **Voiceover-Finalizer**
   - macht aus den Outline-Drafts echte gesprochene Skripte
   - mit natürlicher Sprache
   - passender Länge
   - sauberem Hook in Sekunde 0–2

2. **Language/Tone Decision**
   - Deutsch
   - Englisch
   - oder gemischt je Säule

Aktuell sind manche Drafts bewusst zweisprachig, weil die ursprünglichen Ideen gemischt waren. Für echte Videos sollten wir je Kanal konsequent sein.

3. **Top-3 zuerst finalisieren**
   - nicht alle 9 sofort rendern
   - erst 3 finale Voiceover-Skripte prüfen
   - dann Rendering-Pipeline anpassen

Mein Vorschlag für die ersten 3 Finalisierungen:

- `ai-001` — **Use AI like a servant, not like a god**
- `faith-003` — **The algorithm wants your attention. God wants your heart**
- `life-001` — **Der 2-Minuten-Reset gegen Chaos im Kopf**

Das gibt uns je eine starke Probe pro Säule.


[M G] Lassen wir die religiösen themen vorerst weg, ist eine heikle mischung mit KI. Recherchiere bei was menschen wirklich hängen bleiben und mach den nächsten entwicklungsschritt


web-scraping

---
name: web-scraping
description: "Techniques for scraping web content, handling bot detection, and extracting structured data from websites."
version: 1.0.0
author: Hermes Agent
license: MIT
metadata:
  hermes:
    tags: [web, scraping, research, browser]
    related_skills: [tavily-search, tavily-extract]
---

# Web Scraping

Techniques for extracting data from websites when standard search tools don't provide sufficient detail.

## When to Use

- When you need detailed, structured data from a specific website (pricing, schedules, menus, etc.)
- When search results don't contain the level of detail the user needs
- When the target website has a structured page (not a single-page app requiring JS rendering)

## Available Approaches

### 1. tavily-extract (Preferred)

Best for simple websites with static HTML content. Extracts clean markdown from a URL.

```
tavily-extract: Extract clean markdown or text content from specific URLs
```

### 2. browser_navigate (For complex sites)

For sites that require JavaScript rendering or have complex layouts.

```
browser_navigate: Navigate to a URL and get a DOM snapshot
```

## Pitfalls

### Bot Detection

Many websites (especially commercial ones like cinemas, booking platforms, e-commerce) employ aggressive bot detection:

- **Symptom**: Page returns "Access error", "Allo Houston?", CAPTCHA, or "Why did this happen?" pages
- **Common targets**: pathe.ch, cinepolis.ch, booking platforms, ticketing sites
- **Cause**: IP-based rate limiting, Cloudflare protection, or similar WAF
- **Mitigation**:
  - Try a different URL path (sometimes specific pages are less protected)
  - Try alternative domains (e.g., `.ch` vs `.com`, different subdomains)
  - Use search engines as an intermediary (Google cached pages)
  - Consider the `tavily-extract` tool which may use different extraction infrastructure
  - If all else fails, inform the user that the site is blocking automated access

### Session 2026-05-07 Case Study: Pathe Spreitenbach

**Problem**: All attempts to access pathe.ch returned "Access error" with IP 31.10.138.136 blocked.

**URLs tried**:
- `pathe.ch/de-ch/filme/spreitenbach`
- `pathe.ch/de-ch/kino/spreitenbach`
- `pathe.ch/de-ch/preise`
- Google search (also blocked)

**Result**: Complete failure. All 15+ attempts returned the same error.

**Lesson**: Commercial cinema websites in Switzerland use aggressive bot detection. When this happens:
1. Try alternative sources (ticketing platforms, aggregator sites)
2. Try `tavily-extract` instead of `browser_navigate`
3. If still blocked, inform the user and ask if they can provide the information directly

### Session 2026-05-08: Search Engine Failures

**Problem**: Both Tavily (`tvly`) and DuckDuckGo HTML endpoint failed for a general web search.

**Root causes**:
- **Tavily**: API key not configured in environment — the tool silently fails with "No Tavily API key found"
- **DuckDuckGo HTML**: Returns a JavaScript challenge page (`/anomaly.js`) for automated requests. `curl` and `web_fetch` cannot solve it.

**Fallback chain for web search**:
1. `tavily-search` — if API key is configured
2. `tavily-extract` on specific known-good URLs
3. `browser_navigate` on the target site (for JS-rendered pages)
4. `multi-search-engine` via **Startpage** or **Brave** (NOT DuckDuckGo HTML, NOT Google from server IP)
5. Inform user when all automated sources are exhausted

### Dynamic Content

Some sites load content via JavaScript (SPA frameworks). `browser_navigate` may return an empty DOM. Look for:
- JavaScript errors in the snapshot
- Empty content areas
- Loading spinners instead of actual data

### Rate Limiting

If you get intermittent failures, you may be rate-limited. Wait 30-60 seconds between requests to different sites.

## Workflow

1. **Check if search provides the answer** — Often `tavily-search` + `tavily-extract` is sufficient
2. **Try `tavily-extract` on the target URL** — Best balance of reliability and content quality
3. **Fall back to `browser_navigate`** — For complex sites or when extract fails
4. **Handle bot detection** — If blocked, try alternative URLs/sources, then inform the user
5. **Structure the output** — Present findings in tables or structured format as requested

## Linked Resources

- `references/bot-detection-cases.md` — Documented cases of bot detection and their resolutions.

## Notes

- Always prefer `tavily-search` + `tavily-extract` over direct browser navigation
- Browser navigation should be a last resort for structured data extraction
- When bot detection is encountered, inform the user promptly rather than retrying indefinitely

To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'


     1|# 33 AutoShortsBot
     2|_Last updated: 2026-05-22_
     3|
     4|## Purpose
     5|Durable project card for **AutoShortsBot**: automated creation of social-media shorts.
     6|
     7|## Load when
     8|- Work concerns the AutoShortsBot project, its architecture, code, repository, automations, or content-generation pipeline.
     9|- User asks to continue planning or implementation of automated Social-Media-Shorts generation.
    10|
    11|## Stable facts
    12|- Telegram topic/session: **AutoShortsBot**, `JARVIS Command Center`, thread id `4850`.
    13|- Topic target: `telegram:-1003907117629:4850`.
    14|- User requested that AutoShortsBot project discussion be handled as its own session and answered only in this topic.
    15|- GitHub repository: `https://github.com/Gamexgit/AutoShortsBot`.
    16|- Repository status at project start: empty.
    17|- Future AutoShortsBot code should be stored in this repository.
    18|- Fine-grained GitHub token location: Google Drive file named `Github_AutoShortsBot_Token`.
    19|- Local GitHub token cache: `~/.hermes/secrets/github_autoshortsbot_token` with file mode `0600`; contains the token only, never print it.
    20|- Existing prototype script roots: `~/.hermes/scripts/Auto_Shorts_Bot` and `~/.hermes/scripts/Auto_Video_Bot`.
    21|- Initial content directions from Sir: life optimisation, AI, Christian faith / FaithTok.
    22|
    23|## Secret-handling rules
    24|- Do not print, paste, or store the raw token in chat, repo, or memory.
    25|- Retrieve the token only when needed for GitHub operations, use it as an environment variable/runtime secret, and redact command output.
    26|- Never commit credentials, generated secrets, local `.env` files, or token files.
    27|
    28|## Initial project direction
    29|- Build a system for automated creation of Social-Media-Shorts.
    30|- Keep implementation artifacts in the AutoShortsBot GitHub repo once code is created.
    31|


patch

- Initial content directions from Sir: life optimisation, AI, Christian faith / FaithTok.

- Initial content directions from Sir: life optimisation, AI. Christian faith / FaithTok was considered but is paused for now because mixing religion and AI is sensitive.


--- a//home/agent/jarvis_memory/33_autoshortsbot.md
+++ b//home/agent/jarvis_memory/33_autoshortsbot.md
@@ -18,7 +18,7 @@
 - Fine-grained GitHub token location: Google Drive file named `Github_AutoShortsBot_Token`.
 - Local GitHub token cache: `~/.hermes/secrets/github_autoshortsbot_token` with file mode `0600`; contains the token only, never print it.
 - Existing prototype script roots: `~/.hermes/scripts/Auto_Shorts_Bot` and `~/.hermes/scripts/Auto_Video_Bot`.
-- Initial content directions from Sir: life optimisation, AI, Christian faith / FaithTok.
+- Initial content directions from Sir: life optimisation, AI. Christian faith / FaithTok was considered but is paused for now because mixing religion and AI is sensitive.

 ## Secret-handling rules
 - Do not print, paste, or store the raw token in chat, repo, or memory.

No linter for .md files


Need research. Use browser official / creator academy maybe.


Creator Academy: Empowering Creators to Grow and Succeed | TikTok For Creator

Running WITHOUT residential proxies. Bot detection may be more aggressive. Consider upgrading Browserbase plan for proxy support.

- generic
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- generic
  - combobox "Die meisten Aufrufe" [expanded=false, ref=e27]
- contentinfo
  - link "TikTok" [ref=e28]
  - heading "Unternehmen" [level=4, ref=e29]
  - link "Über TikTok" [ref=e33]
  - link "Nachrichten" [ref=e34]
  - link "Kontakt" [ref=e35]
  - link "Karriere" [ref=e36]
  - link "ByteDance" [ref=e37]
  - heading "Programme" [level=4, ref=e30]
  - link "TikTok for Good" [ref=e38]
  - link "TikTok for Developers" [ref=e39]
  - link "Effect House" [ref=e40]
  - link "Werbung auf TikTok" [ref=e41]
  - link "TikTok Browse" [ref=e42]
  - link "TikTok-Einbettungen" [ref=e43]
  - heading "Ressourcen" [level=4, ref=e31]
  - link "Hilfe-Center" [ref=e44]
  - link "Sicherheitszentrum" [ref=e45]
  - link "Datenschutzzentrum" [ref=e46]
  - link "Creator Academy" [ref=e47]
  - link "Community-Richtlinien" [ref=e48]
  - link "Transparenz" [ref=e49]
  - link "Barrierefreiheit" [ref=e50]
  - heading "Rechtliches" [level=4, ref=e32]
  - link "Nutzungsbedingungen" [ref=e51]
  - link "Datenschutzerklärung" [ref=e52]
  - link "Richtlinie zum geistigen Eigentum" [ref=e53]
  - link "TikTok-Richtlinien zur Gesetzesvollstreckung" [ref=e54]
  - link "Cookie-Richtlinie" [ref=e55]


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Alles, was du brauchst, um ein TikTok-Konto zu erstellen und dein Profil einzurichten.
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Du möchtest hochwertige, längere TikTok-Videos erstellen und für deine Kreativität Belohnungen erhalten? Dann haben wir etwas ganz Besonderes für dich: das Belohnungsprogramm für Creator*innen ! Du hast die Chance, Belohnungen zu erhalten, indem du einfach deine originalen Videoinhalte von über einer Minute teilst. Aber das ist noch nicht alles! Wenn du an dem Programm teilnimmst, erhältst du außerdem Zugriff auf ein erweitertes Dashboard , in dem du deine Belohnungen und die Performance deiner Inhalte ganz einfach verfolgen und so deine Strategie kontinuierlich verbessern kannst. Und ab Frühling 2025 konzentriert sich das Programm mit der Einführung eines spannenden neuen Updates namens zusätzliche Belohnung noch stärker darauf, Anreize für die Erstellung hochwertiger Inhalte zu schaffen, und bietet dir so noch mehr Möglichkeiten zum Sammeln von Belohnungen. Weitere Informationen zu diesen neuen Auszahlungen findest du hier. Wir hoffen, dass dir diese Updates dabei helfen, den Gesamtaufbau deiner Content-Welt zu stärken, deine Plattform weiter auszubauen und noch mehr Chancen in der realen Welt zu nutzen. Teilnahme am Belohnungsprogramm für Creator*innen Bist du bereit, es auszuprobieren? Achte darauf, dass du die folgenden Kriterien erfüllst, bevor du startest: Das Programm ist derzeit für Creator*innen in Brasilien, Deutschland, Frankreich, Japan, Mexiko, Südkorea sowie dem Vereinigten Königreich und den USA verfügbar. Du musst also in einem dieser Länder wohnen und dort ein Konto registriert haben. Dein TikTok-Konto sollte keine Verstöße aufweisen, was bedeutet, dass du unsere Community-Richtlinien und Nutzungsbedingungen einhältst. Nur persönliche Konten sind teilnahmeberechtigt. Business-Konten und Konten von politischen Organisationen oder Regierungen sind nicht teilnahmeberechtigt. Du musst mindestens 18 Jahre alt sein, um teilnehmen zu können. Dein Konto sollte in den letzten 30 Tagen mindestens 10.000 Follower*innen und 100.000 Videoaufrufe verzeichnet haben. Du darfst das Programm nicht manipulieren, keine betrügerischen Aktivitäten durchführen und in keiner Weise gegen unsere Community-Richtlinien verstoßen. Wenn du all dies beachtet hast, kannst du dich folgendermaßen registrieren: Geh zu deinem Profil und tippe auf die Menü -Schaltfläche (☰). Wähle TikTok Studio und tippe dann auf Belohnungsprogramm für Creator*innen . Bewirb dich und wir melden uns innerhalb von drei Tagen . Das ist alles! Belohnungswürdige Inhalte erstellen Das Wichtigste zuerst: Damit deine Inhalte für Belohnungen infrage kommen, müssen sie die folgenden Kriterien erfüllen: Es muss sich um originale , hochwertige Videos handeln, die länger als 1 Minute sind. Sie müssen im „Für dich“ -Feed mindestens 1000 Aufrufe erzielen. Es dürfen keine Duett- oder Stitch-Videos sein. Sie dürfen nicht im Fotomodus erstellt worden sein. Anzeigen, bezahlte Werbeaktionen oder gesponserte Inhalte sind nicht teilnahmeberechtigt. Sie müssen die Programmbedingungen, Nutzungsbedingungen , Community-Richtlinien , Verhaltensregeln für Creator*innen und die Richtlinie zum Urheberrecht einhalten. Damit sich deine Videos für zusätzliche Belohnungen qualifizieren, müssen sie au


const t=document.body.innerText; t.slice(t.indexOf('Damit sich deine Videos'), t.indexOf('Unternehmen'))