Test Safety

Security guard skill for OpenClaw - Analyzes user input for harmful content, risky commands, and security threats before invoking LLM

Do not install or provide API keys yet. Steps to take before trusting this skill: 1) Inspect the referenced GitHub repo and confirm the CLI or Python code actually exists and matches this SKILL.md. 2) Verify author/owner identity (the registry metadata and _meta.json disagree on slug/owner/version). 3) If you plan to use it, run it in a sandboxed environment (no real API keys) and monitor network calls to see what endpoints it contacts. 4) Confirm what files it will read/write (it mentions ~/.safety-guard/config.json) and that it won’t exfiltrate sensitive data. 5) Prefer least-privilege API keys (scoped, revocable) and rotate them after testing. If you can't find source code that implements the CLI behavior described, treat the skill as incomplete/untrustworthy.

Type: OpenClaw Skill Name: safety-guard-skill-xidian Version: 1.0.2 The skill bundle contains metadata and documentation for a 'Safety Guard' tool designed to analyze user input for security threats. The files (_meta.json and SKILL.md) describe standard functionality, including dependency installation (PyYAML) and the use of environment variables for LLM API keys. While the documentation references non-existent future models (e.g., GPT-5.2, Gemini-3) and includes a Rickroll URL (dQw4w9WgXcQ) in its examples, there is no evidence of malicious code, data exfiltration, or prompt injection attacks within the provided content.