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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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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查看安装方法安装前可以查看交给 AI 代理的指令内容。
A need_revision task is somebody else's evidence that something is wrong, not a request to improvise. Treat it the way you would a bug report: verify, fix at the root, prove it with a test, and answer every point — silence on one is how a task bounces a second time for something you could have agreed or disagreed with up front.
list_task_comments, get_task_pull_request with include_diff: false when you don't need the diff itself). If a point is unclear, re-read the code it's about before acting on a guess. Points can be related — a root cause can explain two of them at once.comment_on_pull_request with reply_to_comment_id) when it came from a review comment — a new top-level comment leaves the reviewer's thread looking unanswered; otherwise add_task_comment for a task-comment point. No "You're absolutely right," no thanks, no preamble — state the finding.grep_code for actual callers first. Build the general version only if more than one caller needs it; otherwise say so and keep the fix scoped to what broke.还没有评价。欢迎分享你的使用感受。
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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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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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Use when deciding whether a request needs an analiz task before implementation - the conditions that require the architect's analysis versus going straight to implementation
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