通过1Password CLI,将保存的密码和API密钥用于命令及配置模板,完成安装、认证、秘密值读取,并通过环境变量向命令传递凭据。
- 安装并配置1Password CLI
- 使用已保存的API密钥运行命令
- 向配置模板填入秘密值
独立验证Kanban中由实施人员移交的成果,核对验收条件和测试证据,并记录批准、修改请求或需要人工判断时的升级处理。
Review Kanban handoffs and route verified outcomes.
这项技能检查移交到Kanban审查阶段的成果,记录批准、请求修改,或升级处理以寻求人工判断等帮助。它不会只依据交接说明作出结论,而是对照原始规格、验收条件、实际成果和测试结果。除代码外,也可以审查其他类型的成果。
适合由实施人员之外的角色独立判断工作是否完成。首次审查侧重成果本身,第二次侧重实际运行结果,第三次及以后侧重是否符合原始规格。复查时还会核实此前的修改请求。发现缺陷后,会附上位置、复现方法和所需修正,将问题退回实施人员。
需要Kanban任务和运行信息,以及kanban_show等专用工具。验证代码时,还会使用文件读取、搜索和执行环境。该技能面向审查调度器自动加载的流程,审查人员自身不编辑实现内容。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 仅根据 SKILL.md 的内容,从 4 个方面进行了评估。星标数和热度不计入评估。
总分按每项 A=25 分、B=15 分、C=5 分相加。 由 AI(OpenAI Codex)于 2026年10月20日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Independently verify work handed from a Kanban implementation run to the review lane, then approve it, request changes, or escalate. This skill reviews the deliverable and its evidence; it does not take over the implementer's work.
Use this skill when all of the following are true:
review lane;review_requested handoff;Do not use it for a separate downstream review card. A downstream card is ordinary implementation work with a review-oriented specification and completes through its own lifecycle.
kanban_show, kanban_comment, kanban_complete, kanban_request_changes, and kanban_block.read_file, search_files, and terminal when the deliverable is code.kanban_show.This skill is loaded automatically by the review dispatcher. Start with kanban_show before inspecting files or choosing a verdict.
review_requested handoff.| Verdict | When | Final action |
|---|---|---|
| Approve | Acceptance criteria and verification pass | kanban_complete |
| Request changes | Correctable implementation defects remain | kanban_comment, then kanban_request_changes |
| Escalate | A human decision or external prerequisite is required | kanban_block |
A requested-changes transition returns the task to its original implementer. When that implementer requests review again without naming a reviewer, the persisted reviewer provenance routes the re-review back to the same reviewer profile.
Vary how you look at the work on each round instead of repeating the same inspection. Decorrelated lenses catch different defect classes: a cold read of the artifact surfaces design and correctness problems that the implementer's narrative would have framed away, execution surfaces claims that do not reproduce, and a strict contract audit surfaces quiet scope drift. Repeating the round-1 lens on round 3 mostly re-finds what round 1 already found.
Determine the current round from the history the task record already gives you: count the changes_requested entries in the "Prior attempts on this task" section of your worker context (also visible as prior runs in kanban_show). The current review round is that count plus one. Round 1 therefore shows zero changes_requested attempts; round 2 shows one; and so on.
| Round | Lens | How to apply it |
|---|---|---|
| 1 | Artifact | Read the diff or deliverable cold, before the implementer's summary. Form an independent judgment, then compare it against the handoff narrative and investigate every mismatch. |
| 2 | Execution | Check out the work and actually run it via terminal: build, test, and exercise the reported behavior yourself. Verify each handoff claim empirically instead of re-reading the artifact. |
| 3+ | Contract | Re-read the ORIGINAL task body and acceptance criteria, then audit the deliverable strictly against them. Also verify that every item from every prior kanban_request_changes round actually landed. |
The baseline duties in the Procedure section still apply on every round; the lens sets which inspection you lead with and weight most heavily.
The same principle applies outside the Kanban review lane. When spawning multiple parallel reviewers via delegate_task, give each reviewer a different lens — one diff-only brief, one full-context brief, one checkout-and-run brief — rather than identical briefs. Identical briefs produce correlated verdicts and duplicate findings; varied briefs cover more defect classes for the same review spend.
Call kanban_show and identify:
Treat the handoff as a claim to verify, not as proof that the work is correct.
Map every acceptance criterion to concrete implementation or output evidence. Note omissions, changed semantics, and unrelated scope before deciding whether to run deeper checks.
For code work:
read_file and search_files to inspect the changed paths and their callers.terminal to inspect the diff and run the project's existing focused tests, lint, type checks, or build commands.For non-code work:
Approve only when the acceptance criteria are satisfied and the evidence is sufficient. Call:
kanban_complete(
summary="Reviewed and approved. <what was verified>",
metadata={"review_outcome": "approved", "reviewer_checks": [...]}
)
Include the exact checks that passed and any bounded caveat that does not block acceptance.
Use this for specific, correctable defects. First record actionable findings:
kanban_comment(
task_id="<current-task-id>",
body="Changes requested:\n1. <file or artifact + defect>\n2. <required correction>",
)
Then return the same task to its implementer:
kanban_request_changes(
reason="<concise summary of the required corrections>"
)
State where the defect is, how it reproduces, why it violates the task, and what minimum outcome would resolve it. The transition does not use blocker recurrence accounting.
Use escalation only when the reviewer and implementer cannot resolve the problem without a human decision or external prerequisite:
kanban_block(
reason="escalation: <decision or prerequisite required>"
)
Explain the blocked decision and the smallest information needed to continue.
Do not edit the implementation while acting as reviewer. Request changes and let the implementer produce the next candidate; then independently verify that candidate in the next review run.
kanban_request_changes; reserve kanban_block for genuine external blockers or human decisions.Before submitting the verdict, confirm:
kanban_show was read for the current task and run.还没有评价。欢迎分享你的使用感受。
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通过1Password CLI,将保存的密码和API密钥用于命令及配置模板,完成安装、认证、秘密值读取,并通过环境变量向命令传递凭据。
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