Use when writing acceptance criteria for a task - express each as an observable Given/When/Then that QA can execute, including negative cases
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Use when a task in code_review was sent back before (an earlier need_revision comment exists) - verify every prior point was fixed at its root
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
When a task returns to code_review after a need_revision cycle, the question is not "did something change" but "was the ROOT CAUSE addressed". Symptom patches come back as bugs; catching them here is cheaper than in QA or production.
in_progress, so the earlier need_revision comment is NOT injected into this run automatically — list_task_comments on this task is how you find it (also check get_task_pull_request for human reviewer comments on the PR itself).Prior finding: "export returns empty CSV on DB error (swallowed error)."
if len(csv)==0 { return 500 }. Rejected → back to need_revision: "Point 1: the swallowed error at service.go:24 is still there; you inferred failure from an empty result instead of propagating the error. An empty project also returns empty CSV, so this now 500s a valid empty project. Fix the source."ListByProject's error is propagated and mapped to 500; a test injects a repo error and asserts 500; the empty-project test still asserts 200 + header-only CSV. Approved → ready_for_qa.The tell was step 2: B's fix touched service.go:24 (where the mechanism lives); A's didn't.
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Use when writing acceptance criteria for a task - express each as an observable Given/When/Then that QA can execute, including negative cases
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Use when the diff adds or changes an endpoint, resolver, RPC, job or query that takes an object id, a role check, a request binding or a tenant filter - BOLA/IDOR, function-level authorization, mass assignment and tenant scoping
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Use on every UI change - semantic HTML, labels for controls, keyboard-navigable dialogs/menus, visible focus, and never color as the only signal
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Use when a task changes any screen, form, dialog, menu or control - Lighthouse/axe scan of the changed screens, a keyboard walk, and the thresholds that fail a task
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How to work a task returned with review, QA or UAT findings. Use when a task is in need_revision or PR review comments are in your context.
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Use when the repository keeps its alerting in code, or a person asks for alerts outside TaskTrooper - PrometheusRule YAML, a Cloud Monitoring alert policy in Terraform, a Datadog monitor, each routed to TaskTrooper's alert ingest URL so it opens an incident here
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