Metacognitive Protocol Lite

Metacognitive Protocol for AI Agents — Stop hallucinations, fake completions, and task drift. A lightweight thinking framework that makes any LLM-based agent...

This skill appears to implement what it claims (a metacognitive checklist and a harmless PPT generator), but it explicitly instructs integrators to add its rules to the system prompt and to 'clawhub install' the tool (no install provided). Before installing or persisting this skill: 1) Do NOT paste its full instructions into a global/system prompt without human review — persistent system prompts can override model safeguards. 2) Inspect any text you would add to a system prompt; trim or sandbox it and test in a limited environment first. 3) Review create_ppt.py locally before running; it requires python-pptx and writes files to disk. 4) Treat the 'don't ask clarifying questions — make assumptions' guidance cautiously; for many real tasks you should prefer explicit clarification. 5) If you plan to 'install' from an unknown source, verify author and hosting; the skill has no homepage or known registry URL. If you want help extracting a safe, minimal system-prompt snippet from SKILL.md or sanitizing the instructions for limited use, I can create one and mark which lines are high-risk to persist.

Type: OpenClaw Skill Name: metacognition-lite Version: 1.0.0 The skill bundle is classified as suspicious primarily due to the `create_ppt.py` script. This script contains a hardcoded, non-portable output path (`D:\阶跃\gumroad-products\metacognition-lite\Metacognitive_Protocol_AI_Agents.pptx`) for saving the generated PowerPoint file. While not explicitly malicious (e.g., no data exfiltration or unauthorized execution), this is a significant vulnerability in terms of script robustness and portability, as it will likely fail or write to an unexpected location on non-Windows systems or systems without the specified directory structure. The `SKILL.md` and `article_why_your_ai_agent_fails.md` files, despite containing instructions for the AI agent, are benign as their directives focus on improving agent reasoning and transparency, not on subverting the agent or performing harmful actions.