What problem does it solve? After an AI agent completes a task, there is no guarantee the work is correct, complete, or free of regressions. This Skill adds an independent verification loop that catches broken builds, failing tests, missed requirements, and incorrect answers before you trust the result. ## Core Features & Use Cases - Subagent-Based Verification: Spawns a general-purpose verifier subagent that independently reviews the session trace, inspects the environment, and issues a PASS or FAIL verdict. - Two-Phase Review: Runs a trace review of every action taken plus a code review phase covering diffs, builds, tests, linters, security issues, and edge cases. - Iterative Fix Loop: On a FAIL verdict, fixes the identified issues and re-verifies up to three times until the work passes. - Use Case: After asking an agent to implement an authentication feature, invoke /check-work with the focus area "auth logic and JWT handling" to have a verifier confirm the implementation compiles, passes tests, and handles edge cases. ## Quick Start Ask the agent to check its work on the changes just made, optionally naming a focus area such as the auth logic.