---
name: model-skill-injector
description: "Injects model-specific best-practice context into bootstrap depending on the active LLM (Anthropic vs OpenAI)"
metadata:
  {
    "openclaw": {
      "emoji": "🧠",
      "events": ["agent:bootstrap"],
      "requires": { "config": ["workspace.dir"] }
    }
  }
---

# model-skill-injector

Fires on `agent:bootstrap` and appends a model-family-specific best-practices
hint file to the bootstrap context, so the agent always knows which tool-design
rules apply for the currently active model — without bloating the base system
prompt.

## What it does

1. Reads the active model string from the event config (`agents.defaults.model.primary`).
2. Detects the model family by model name only:
   - **Anthropic** — any model containing `claude`
   - **OpenAI** — any model containing `gpt`
3. Injects the corresponding hint file from the workspace `skills/llm-tool-best-practices/` folder as a virtual bootstrap file named `MODEL_HINTS.md`.
4. If the model is unknown / not matched, injects a neutral fallback noting both families.

## Files

- Anthropic hints: `skills/llm-tool-best-practices/hints/anthropic.md`
- OpenAI hints:    `skills/llm-tool-best-practices/hints/openai.md`
- Fallback:        `skills/llm-tool-best-practices/hints/generic.md`

## Notes

- Runs read-only; never writes files.
- Only injects the targeted section — does not load the full best-practices doc each turn.