Smart Refinement System

Automatically refines unclear prompts, matches relevant skills via vector similarity, integrates context, and suggests execution steps for efficient AI task...

This package appears coherent with its stated purpose. Before installing: 1) Verify the source repository or author (package.json claims a repo/homepage but the registry entry shows unknown source). 2) Review the remaining code (functions not shown in the truncated listing) to confirm there are no unexpected network calls or hidden endpoints. 3) When integrating into an agent, restrict which executor tools the agent can actually invoke (e.g., block or sandbox 'exec', restrict file access) because the skill suggests actions that may lead the agent to pick tools like exec/read/write/browser. 4) Run in a sandbox or test environment first, and inspect/create a safe config (log paths, custom_skills_path) to avoid writing sensitive data to disk. If you want lower risk, install but disable any tooling integrations that provide OS or network access.

Type: OpenClaw Skill Name: smart-refinement Version: 1.0.0 The skill bundle provides a legitimate utility for optimizing AI agent prompts and matching user requests to specific skill categories (e.g., code generation, file operations). The core logic in `smart_refinement_system.py` uses keyword-based intent detection and regex for entity extraction without any high-risk behaviors like remote code execution, network exfiltration, or unauthorized file access. The instructions in `SKILL.md` and the generated execution guides are designed to improve agent clarity and task adherence, showing no signs of malicious prompt injection or deceptive behavior.