40 lines
1.4 KiB
Markdown
40 lines
1.4 KiB
Markdown
---
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name: model-skill-injector
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description: "Injects model-specific best-practice context into bootstrap depending on the active LLM (Anthropic vs OpenAI)"
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metadata:
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{
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"openclaw": {
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"emoji": "🧠",
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"events": ["agent:bootstrap"],
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"requires": { "config": ["workspace.dir"] }
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}
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}
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---
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# model-skill-injector
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Fires on `agent:bootstrap` and appends a model-family-specific best-practices
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hint file to the bootstrap context, so the agent always knows which tool-design
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rules apply for the currently active model — without bloating the base system
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prompt.
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## What it does
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1. Reads the active model string from the event config (`agents.defaults.model.primary`).
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2. Detects the model family by model name only:
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- **Anthropic** — any model containing `claude`
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- **OpenAI** — any model containing `gpt`
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3. Injects the corresponding hint file from the workspace `skills/llm-tool-best-practices/` folder as a virtual bootstrap file named `MODEL_HINTS.md`.
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4. If the model is unknown / not matched, injects a neutral fallback noting both families.
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## Files
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- Anthropic hints: `skills/llm-tool-best-practices/hints/anthropic.md`
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- OpenAI hints: `skills/llm-tool-best-practices/hints/openai.md`
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- Fallback: `skills/llm-tool-best-practices/hints/generic.md`
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## Notes
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- Runs read-only; never writes files.
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- Only injects the targeted section — does not load the full best-practices doc each turn.
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