Skill Distiller

Fit more skills in your context window — compress without losing what matters.

This skill appears to do what it says: compress skill documents. Before installing, consider these points: - The skill will read skill markdown files you point it at (expected), and it documents writing calibration data to .learnings/skill-distiller/calibration.jsonl in the host environment. If you prefer no on-disk traces, plan to monitor or clean that path. - The docs show it will prefer a local ollama model or fall back to GEMINI_API_KEY / OPENAI_API_KEY if set. Those provider env vars are not listed in the registry metadata — if you have cloud keys configured, the skill's runtime explanation indicates it may use them for LLM calls (this is normal for LLM-based tools, but verify you are comfortable with the agent using your configured provider). - There is no installer that fetches external code, and no unrelated credentials or network endpoints are embedded in the files — risk from supply-chain downloads is low. - disable-model-invocation is true (the skill is not allowed to autonomously invoke the model), which reduces autonomous behavior risk. The included test script references ollama usage but is only for manual testing. If you want extra caution: review or sandbox the first run, inspect .learnings after usage, and ensure any provider keys you use are scoped appropriately.

Type: OpenClaw Skill Name: neon-skill-distiller Version: 0.2.1 The 'Skill Distiller' bundle is a utility designed to compress OpenClaw skills to save context window tokens. It uses a 'formula notation' in the main SKILL.md and detailed importance-scoring logic in SKILL.reference.md to prune redundant text while preserving core triggers and instructions. The included test_integration.sh script is a standard testing utility for local Ollama environments, and no evidence of data exfiltration, malicious prompt injection, or unauthorized persistence was found across the codebase or documentation.