agentleFS
idaholabidaholab/moose/.agents/skills/verify-changes/SKILL.md

verify-changes

Skill2.4k starsChanged 14 days agoLGPL-2.1View on GitHub

Select and run focused builds, tests, and executable checks for MOOSE changes, with a mandatory environment gate, protection against stale binaries, and evidence-based results. Use when someone asks to build, test, or verify MOOSE work; before claiming that changed MOOSE behavior works; or when another MOOSE workflow needs verification for a pull request, review response, bug fix, or feature.

12 other projects use a version of this.

Trending

More talk lately.about the whole repository

Dec 2025: 1 mentionJan 2026: 1 mentionFeb 2026: 1 mentionMar 2026: 3 mentionsApr 2026: 1 mentionMay 2026: 1 mentionJun 2026: 0 mentionsJul 2026: 1 mentionAug 2026: 2 mentionsSep 2026: 3 mentionsOct 2026: 6 mentionsNov 2026: 2 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the idaholab/moose repository that our weekly crawl found. There is no adoption data for this file yet.

Most recently taken up by

Who's talking about idaholab/moose

The biggest 5 of 51 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 51

Talked about on GitHub and Bluesky (51 times).

On GitHub · 50

45 more on GitHub

Used with

Projects with it also use intelligent-routing, design-spec and 10 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.
  • SKB3002Skill

    intelligent-routing

    Automatic agent selection and intelligent task routing. Analyzes user requests and automatically selects the best specialist agent(s) without requiring explicit user mentions.

    Also in 3 projects that use this

  • jornalistainclusivoSkill

    design-spec

    How to author a DESIGN.md file — the machine-readable design-token + human-rationale format that must exist before any UI is built. YAML front-matter token schema (colors, typography, spacing, rounded, components), type system, token references, and canonical section order.

    Also in 3 projects that use this

  • xenitV1Skill

    bash-linux

    Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.

    Also in 3 projects that use this

  • xenitV1Skill

    red-team-tactics

    Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.

    Also in 3 projects that use this

  • xfstudioSkill

    rust-pro

    Master Rust 1.75+ with modern async patterns, advanced type system

    Also in 3 projects that use this

  • +7 more from xenitV1

The file

We split this skill into the rules it gives an agent

9 rules. 0 are common, 7 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 10 edited versions we read keep these.

  • 7

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

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

Licensed with conditions — 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 10 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.