From task-autoresearch
Use when an autoresearch task needs the narrowest useful verification step run and its outcome captured into the evidence trail. Trigger after a scoped change has been made, or when the user asks to "verify", "run the verification", "check the change", or passes an explicit verification command.
How this skill is triggered — by the user, by Claude, or both
Slash command
/task-autoresearch:task-autoresearch-verifyThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Run the narrowest useful verification for the in-flight **task-autoresearch** task and capture its result in a form the report step can consume. This skill does not modify code.
Run the narrowest useful verification for the in-flight task-autoresearch task and capture its result in a form the report step can consume. This skill does not modify code.
Pick the narrowest useful check — the one that exercises the touched surface and nothing else. Examples:
pytest path/to/test_file.py::TestClass::test_casemypy path/to/changed.py / tsc --noEmit path/to/changed.tsIf the user passed an explicit command, run that instead.
Run it and capture the full output (stdout + stderr + exit code).
If it passes, broaden one step only if the touched surface is shared (e.g., a util used by many callers). Otherwise stop — broader is not better.
If it fails, do not widen the verification. Diagnose the failure first; the original task loop resumes.
Record the result in a form the report step can consume:
task-autoresearch-report skill.Verification failed at <where>; resuming task loop to fix.For verification with many steps or a large output, delegate to the verifier subagent so its context stays separate from the implementation context.
npx claudepluginhub killaragorn/autoresearch --plugin task-autoresearchGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.