agentleFS
joinwell52-AIjoinwell52-AI/CodeFlowMu-open/skills/qa-verify-fix/SKILL.md

qa-verify-fix

Skill2 starsChanged 4 months agoMITView on GitHub

Verify CodeFlowMu fixes against acceptance criteria. Use when QA needs to run commands or UI checks, record pass/fail evidence, and report remaining issues.

The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈6

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use after DEV reports a fix or PM asks for validation.

    line 10
  2. Distinctive:

    Check behavior against acceptance criteria.

    line 14
  3. Distinctive:

    Do not approve lifecycle directly.

    line 17
  4. Distinctive:

    Do not treat file existence as behavior verification.

    line 25
  5. Distinctive:

    Do not archive or approve lifecycle.

    line 26
  6. Distinctive:

    Do not hide untested criteria.

    line 27

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

QA Verify Fix

When to use

Use after DEV reports a fix or PM asks for validation.

Rules

  • Check behavior against acceptance criteria.
  • Keep failures visible.
  • Report gaps.
  • Do not approve lifecycle directly.

Required output

Use docs/skills/qa-playbook/verify-fix.md.

Forbidden actions

  • Do not treat file existence as behavior verification.
  • Do not archive or approve lifecycle.
  • Do not hide untested criteria.

Minimal example

Check: manifest JSON parses
Result: pass
Evidence: python -m json.tool

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.