Todokan Review Loop

Process Todokan task and thought boards with a review-loop workflow. Use when a task enters doing and the agent should pick it up, read latest comments, resp...

This skill appears coherent with its stated purpose. Before installing: (1) ensure the TODOKAN_API_KEY you provide has the minimum necessary scopes (comments/tasks write only for intended boards if possible), (2) test using a beta slug or in a sandbox environment as README suggests, and (3) confirm the TODOKAN_MCP_URL points to your intended MCP endpoint. The instructions allow checking related boards/habitats — if you need to restrict lateral access, enforce that via API key permissions or server-side scoping. If you want further assurance, request the publisher's source or audit logs of actions the bot will take during a test run.

Type: OpenClaw Skill Name: todokan-review-loop Version: 1.3.0 The 'todokan-review-loop' skill is designed for autonomous task processing within the Todokan platform, involving reading tasks, comments, and documents, then generating context-aware replies, adding execution updates, and updating task statuses. The `SKILL.md` provides extensive, detailed instructions for the AI agent, emphasizing safety (e.g., 'Never delete tasks automatically', 'Respect task access control') and robust conversational logic to prevent misinterpretation. While the skill requires broad permissions (`tasks:write`, `comments:write`, `docs:read/write`) to function, these are consistent with its stated purpose. There is no evidence of intentional malicious behavior such as data exfiltration to unauthorized endpoints, arbitrary command execution, persistence mechanisms, or instructions to subvert the agent's core function or ignore safety rules. The instructions are designed to ensure high-quality, safe, and productive automation.