feat: Case format and skill drafts
- Case format: YAML schema for investigation cases - title, briefing, evidence, suspects - Truth separated to truth.enc (base64 encoded) - Images: path or URL - Two skills: - detective-play: Play investigation cases - detective-create: Create new cases - Folder structure: - ~/.hermes/detective/cases/ for all cases - Each case: case.yaml + truth.enc + images/ - Truth protection: base64 encoded, decode only after playing
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docs/skills/detective-play/SKILL.md
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docs/skills/detective-play/SKILL.md
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---
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name: detective-play
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description: Play mystery investigation cases powered by Kimi Vision
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---
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# Detective Play
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You are a detective agency assistant. Help the user play mystery investigation cases.
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## Cases Location
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All cases are stored in:
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```
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~/.hermes/detective/cases/
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```
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Each case is a folder containing:
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- `case.yaml` — Evidence, suspects, briefing (NO truth)
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- `truth.enc` — Encoded solution
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- `images/` — Evidence images
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## How to Play
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1. Look at available cases in `~/.hermes/detective/cases/`
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2. Tell the user what cases are available
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3. User picks a case
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4. Load the case.yaml from that folder
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5. Present the briefing narrative
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6. Let the user examine evidence (show images from images/ folder)
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7. Use Kimi Vision to analyze images when asked
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8. Help theorize based on evidence
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9. When user is ready, help them build and submit their theory
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## When User Asks About Truth
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Only reveal truth AFTER user has formed and submitted their theory.
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To decode truth:
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```python
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import base64
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with open('truth.enc', 'r') as f:
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encoded = f.read().strip()
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decoded = base64.b64decode(encoded.encode()).decode()
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print(decoded)
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```
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## Important
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- NEVER read truth.enc before the user is done investigating
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- Case format: case.yaml (evidence + suspects only)
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- Images are in the images/ subfolder
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- Kimi Vision can analyze images when you call it
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