Enhance your AI with optimized planning, ROI-based decisions, self-correction, and execution for complex tasks and measurable results.

The code appears to do what the description claims, but take precautions before installing: 1) Review and change the logger paths so logs are written inside the skill's own sandbox (avoid '../logs' or other relative paths that escape the skill directory). 2) Understand that "log everything" can persist sensitive inputs (passwords, API keys, private data you feed into tasks); avoid sending secrets to the skill or sanitize inputs. 3) If you expect the skill to delegate to other tools/agents, ask for or inspect the implementation of delegation — currently it's only mentioned, not concretely implemented. 4) Run the skill in an isolated environment (container or VM) if you plan to use real data, especially until logging and delegation behaviors are hardened. 5) If you intend to enable autonomous invocation, confirm there are limits on what the agent may call or persist. These steps will reduce the main risks (unexpected persistent writes and accidental logging of sensitive data).

Type: OpenClaw Skill Name: 200iq-ai-agent Version: 1.0.0 The skill bundle is a task-prioritization framework that uses a simulated 'ROI' metric to rank and execute tasks. The Python logic in files like decision_engine.py and execution_agent.py is straightforward, focusing on mathematical calculations and logging to local files (logger.py). There is no evidence of network activity, shell execution, data exfiltration, or malicious prompt injection; the '200 IQ' branding in SKILL.md is purely stylistic persona-steering aligned with the stated purpose of task optimization.