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ArzeroeArzeroe/Claude-skills/skills/verification-quality/SKILL.md

Verification & Quality Assurance

Skill0 starsChanged 5 months agoNo licenceView on GitHub

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

  • Reads credentials
  • Deletes or force-pushes
  • Installs packages
  • Sends data out

33 other projects use a version of this, 26 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use worker-benchmarks, agent-agent and 5 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • nbossnSkill

    worker-benchmarks

    Run comprehensive worker system benchmarks and performance analysis

    Also in 9 projects that use this

  • ZekiogSkill

    agent-agent

    Agent skill for agent - invoke with $agent-agent

    Also in 5 projects that use this

  • ZekiogSkill

    agent-analyze-code-quality

    Agent skill for analyze-code-quality - invoke with $agent-analyze-code-quality

    Also in 5 projects that use this

  • +4 more from Zekiog

The file

We split this skill into the rules it gives an agent

5 rules. 5 are common, 0 are distinctive, and 0 are very specific to this project.

  • 5

    Common

    Most of the 26 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 26 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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.

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