Task Extractor

Extract, track, and verify completion of multiple tasks from a single user message. Use when any message contains 3+ actionable items, a prompt dump with mix...

This skill is coherent but potentially dangerous in practice because it instructs the agent to act without asking follow-up confirmation, spawn sub-agents, and perform external checks. Before installing: (1) decide whether you want the agent to automatically perform actions generated from user messages — if not, disable autonomous invocation or modify the skill to require confirmation for anything beyond harmless 'QUICK' reads; (2) run the skill in a sandboxed workspace to contain file writes (TASK_QUEUE.md); (3) ensure credentials your agent has access to are minimised (the skill doesn't declare which creds it needs); (4) consider editing SKILL.md to require explicit user confirmation for destructive or privileged tasks and to enumerate any needed credentials/APIs; (5) monitor sub-agent activity and logs when the skill first runs. If you lack those controls, treat this skill as higher-risk.

Type: OpenClaw Skill Name: task-extractor Version: 1.0.0 The 'task-extractor' skill is a workflow management tool designed to help an AI agent track and execute multiple tasks from a single user message. It uses a 'TASK_QUEUE.md' file in the workspace to maintain state and provides a structured reporting format for the user. While it encourages a proactive 'don't interrogate, just do' approach (referred to as 'Ryan's rule' in SKILL.md), this is a common design pattern for autonomous agents to reduce conversational overhead and does not exhibit malicious intent, data exfiltration, or unauthorized execution capabilities.