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quality-workflow质量工作流程

Agent Skill

quality-workflow 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

659

周安装

28

GitHub Stars

公开资料未说明

下载量

231
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:quality-workflow(质量工作流程)
来源仓库:https://github.com/metyatech/skill-quality-workflow
仓库路径:skills/quality-workflow
安装命令:
npx skills add https://github.com/metyatech/skill-quality-workflow --skill quality-workflow
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/metyatech/skill-quality-workflow --skill quality-workflow

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词或任务场景快速定位候选结果。

  • 适用于质量工作流程相关的步骤分解与执行路径规划场景,支持基于来源线索的流程优化。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 确认具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • quality-workflow 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Quality workflow

Test coverage methodology

  • Tests MUST cover success, failure, boundary, invalid input, and key state transitions (including first-run/cold-start vs subsequent-run behavior when relevant). Tests MUST include representative concurrency, retry, and recovery cases when relevant.
  • For non-trivial changes, the agent MUST enumerate the changed externally visible contract surface before choosing tests. Use the changed docs, specs, CLI help, API descriptions, UI controls, file formats, and user-facing messages as the source of truth for that surface.
  • The agent MUST build a small surface matrix (surface item × state/outcome) and cover the highest-risk combinations directly. The agent MUST NOT treat one passing happy-path check as evidence that adjacent documented entry points also work.
  • For deterministic output files, the agent MUST use full-content snapshot or golden tests.
  • The agent MUST prefer making nondeterministic failures reproducible over adding sleeps or retries. The agent MUST NOT mask flakiness.
  • For timing, order, or race issues, the agent MUST prefer deterministic synchronization (events, versioned state, acks/handshakes) over fixed sleeps.
  • For integration boundaries (network, DB, external services, UI flows), the agent MUST add an integration, E2E, or contract test that exercises the boundary. The agent MUST NOT rely on unit-only coverage for integration bugs.
  • For non-trivial changes, the agent MUST create a small test matrix (scenarios × inputs × states) and MUST cover the highest-risk combinations. Intentional gaps MUST be documented.

Feedback loops and root causes

  • The agent MUST treat time-to-detect and time-to-fix as quality attributes and MUST shorten the feedback loop with automation and observability rather than relying on manual QA.
  • For any defect fix or incident remediation, the agent MUST perform a brief root-cause classification:

1. Implementation mistake. 2. Design deficit. 3. Ambiguous or incorrect requirements.

  • The agent MUST feed the root cause upstream in the same change set: add or tighten tests/checks/alerts, update specs and acceptance criteria, and update design docs or ADRs when applicable.
  • If the failure should have been detected earlier, the agent MUST add a gate at the earliest reliable point (lint, typecheck, tests, CI required checks, runtime alerts, or health checks). Skipping this requires explicit user approval.
  • The agent MUST record the prevention mechanism (what catches recurrence) in the PR description or issue comment. The agent MUST NOT report "fixed" without a concrete feedback-loop improvement.

Verification evidence procedures

AC→evidence mapping format

  • The agent MUST maintain an explicit mapping of AC -> evidence (tests/commands/manual steps).
  • The agent SHOULD maintain a parallel mapping of changed surface item -> direct evidence whenever the change adds or alters a user-visible interface such as a command, flag, endpoint, view, or state.
  • The mapping MAY be presented in a compact per-item form (one line per AC including evidence and outcome) to reduce verbosity.
  • For non-code changes, the agent MUST run the relevant verification subset and MUST justify why the full suite is not needed.
  • If required checks cannot be run, the agent MUST stop and request explicit approval to proceed with partial verification. The agent MUST provide an exact manual verification plan.

Final delivery response format

  • The agent MUST maintain an explicit AC -> evidence mapping internally for every state-changing task.
  • In normal user-facing final responses, the agent MUST default to a concise summary of outcome, verification, and residual risk.
  • The agent MUST expand to explicit Goal/Verification, AC -> evidence, or exact command listings only when the user requests them or when higher-priority rules require path-specific evidence to be shown separately.

CI and commit-hook setup

For CI and commit-hook invariants, see the rule modules quality-and-verification and lint-format-static. This section covers setup procedures.

  • The agent MUST configure required default-branch checks when permitted. Otherwise the agent MUST report the limitation.
  • The agent MUST NOT rely on smoke-only or scheduled-only gates.
  • If hooks are not installed, the agent MUST install them before the first commit in the session. If installation is impossible, the agent MUST run full verify manually before every commit.
  • Verify scripts MUST enforce lock-file integrity (manifest/lock drift detection).

Environment constraints

  • If the environment limits execution (network, DB, sandbox), the agent MUST run the available subset, MUST document skipped coverage, and MUST ensure CI covers the remainder.
  • For user-facing tools and GUIs, the agent MUST run end-to-end manual verification in addition to automated tests. When manual testing finds issues, the agent MUST add failing tests first, then fix.
  • For CLI and API changes, direct contract checks MUST include discoverability surfaces such as help, usage, version, schema, or equivalent documented entry points when those surfaces are part of the delivered contract.
  • If required tests are impractical, the agent MUST document the gap, MUST provide a manual verification plan, and MUST get explicit approval.

Test practices

  • Heuristic waits MUST require condition-based logic, hard deadlines, diagnostics, and explicit requester approval.
  • Logs MUST be minimal with diagnostic context. Logs MUST NOT contain secrets or personal data. The agent MUST remove debugging instrumentation before the final patch.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.37%
按下载量换算84

Claude

29.52%
按下载量换算68

Cursor

18.86%
按下载量换算44

Gemini CLI

8.95%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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