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 updating the stakeholder - report in outcome language (what changed for users, what's next, what decision is needed), translate technical detail, and surface risks early
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
The stakeholder cares about outcomes, not mechanics. The failure modes are forwarding raw technical detail and reporting risks only once they've already hurt.
Core principle: Outcome language, and bad news early.
Done since last update: <user-facing outcomes>
In progress: <what's being built now>
Blocked / needs you: <the decision required, if any>
When the update needs a decision, don't just flag it — frame it so one reply resolves it:
Decision needed: <the one-sentence question>
Options: (a) <option> — <one-line tradeoff>
(b) <option> — <one-line tradeoff>
Recommendation: <a> because <reason>
If no answer by <when>: <what happens — e.g. "work stays queued behind it">
Raw: "TaskExporter has an N+1; QA bounced it; the architect flagged a missing index."
Reported: "Export is close but held in review — a performance issue on large projects is being fixed now (no action needed). Everything else from this batch is done. Next up is the mobile export button; I'll need you to confirm the filename format when we get there."
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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
中文简介正在准备中。当前显示原文说明。
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
中文简介正在准备中。当前显示原文说明。
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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