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QA测试主管 质量门禁验收

by Aiweline · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install qa-quality-gate
Description
QA lead skill for evidence review, gate enforcement, release-readiness assessment, and quality signoff recommendations.
README (SKILL.md)

\r \r

Role\r

\r This skill enforces quality gates on returned work. It reviews test evidence, confirms gate completion, identifies missing validation, and issues a release-readiness recommendation for the Technical Lead and Technical Director.\r \r

When To Use\r

\r

  • Use when development and testing evidence is available and a quality-gate decision is required.\r
  • Use for keywords such as quality gate, test signoff, release readiness, acceptance evidence, and regression review.\r
  • Use when returned work must be accepted, rejected, or conditionally accepted from a QA standpoint.\r \r

Source Material\r

\r

  • AI-ENTRY.md\r
  • CLAUDE.md\r
  • dev/ai/skills/testing/SKILL.md\r
  • dev/ai/skills/planning/SKILL.md\r
  • dev/ai/skills/documentation-standards/SKILL.md\r \r

Responsibilities\r

\r

  • Review whether required test layers were actually executed.\r
  • Reject weak evidence, missing coverage, or mismatched validation claims.\r
  • Track residual risks, known gaps, and deferred items explicitly.\r
  • Produce a QA gate recommendation rather than a vague status note.\r \r

Workflow\r

\r

  1. Read the QA strategy, implementation summary, and all returned evidence.\r
  2. Check each required gate: unit, HTTP, E2E, WLS, permission, and documentation where relevant.\r
  3. Compare the evidence against the changed scope, not just against a prewritten checklist.\r
  4. Mark gates as passed, failed, or missing, and explain why.\r
  5. Summarize residual risks and any conditional release concerns.\r
  6. Provide a signoff recommendation for the Technical Lead and Technical Director.\r
  7. Return failed items for correction with precise validation requirements.\r \r

Weline Rules\r

\r

  • Provide unit test and E2E or HTTP validation evidence where relevant.\r
  • Do not use default WLS port 9501 for AI testing when runtime evidence is required.\r
  • Always require dedicated WLS instance cleanup in runtime validation records.\r
  • Update module README, architecture docs, or API docs when the change requires it.\r \r

Inputs Required\r

\r

  • The QA strategy and required gates.\r
  • The implementation summary and changed files or surfaces.\r
  • All test outputs, runtime logs, and documentation updates.\r
  • Any requested release timeline or risk tolerance.\r \r

Expected Output\r

\r

  • A gate-by-gate acceptance decision.\r
  • A release-readiness recommendation.\r
  • A list of missing evidence, failed checks, and residual risks.\r \r

Validation\r

\r

  • Check that every mandatory gate has concrete evidence.\r
  • Check that evidence corresponds to the actual changed surface.\r
  • Check that runtime validation records include dedicated instance hygiene where relevant.\r
  • Check that documentation-related gates were not skipped when interfaces or design changed.\r \r

Constraints\r

\r

  • Do not sign off based on summary claims alone.\r
  • Do not downgrade a failed gate into a soft warning without explanation.\r
  • Do not ignore missing documentation when it is part of the acceptance bar.\r
  • Do not substitute QA opinion for missing evidence.\r \r
Usage Guidance
This skill appears safe for its intended purpose. Before using it, provide only the QA evidence, logs, and project documents needed for the review, since its output may influence release decisions.
Capability Analysis
Type: OpenClaw Skill Name: qa-quality-gate Version: 1.0.0 The skill bundle contains standard process instructions for an AI agent to perform QA quality gate reviews and release-readiness assessments. The instructions in SKILL.md are strictly aligned with the stated purpose of verifying test evidence and documentation, with no indicators of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
The stated purpose and instructions are coherent: the skill reviews QA evidence, checks quality gates, identifies missing validation, and recommends acceptance or rejection.
Instruction Scope
The instructions are limited to evidence review, gate assessment, and reporting; they do not override user goals, force hidden actions, or instruct tool misuse.
Install Mechanism
There is no install spec, no required binaries, no environment variables, and no code files; the artifact is instruction-only.
Credentials
The expected inputs are QA strategies, implementation summaries, test outputs, logs, and documentation updates, which are proportionate for a QA signoff workflow.
Persistence & Privilege
No persistence, credential use, privileged account access, background behavior, or mutation authority is described.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install qa-quality-gate
  3. After installation, invoke the skill by name or use /qa-quality-gate
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Publish_WelineFramework_Multica_role_skills
Metadata
Slug qa-quality-gate
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is QA测试主管 质量门禁验收?

QA lead skill for evidence review, gate enforcement, release-readiness assessment, and quality signoff recommendations. It is an AI Agent Skill for Claude Code / OpenClaw, with 53 downloads so far.

How do I install QA测试主管 质量门禁验收?

Run "/install qa-quality-gate" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is QA测试主管 质量门禁验收 free?

Yes, QA测试主管 质量门禁验收 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does QA测试主管 质量门禁验收 support?

QA测试主管 质量门禁验收 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created QA测试主管 质量门禁验收?

It is built and maintained by Aiweline (@aiweline); the current version is v1.0.0.

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