agentleFS
BelweaveBelweave/hstack/skills/hstack/prove/SKILL.md

prove

Skill1 starsChanged 15 days agoMITView on GitHub

Show a failing check, then a passing one, on real behavior.

13 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

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

  • 0

    Common

    Most of the 13 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Do not restate bundled skills.

    line 30
  2. Very specific:

    When the passing check is real, stop.

    line 35

“Common” is measured: kept by at least 6 in 10 of the 13 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.

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

Prove

When to Use

The change is supposed to be done, or the user asked for a report of what to run. Load this after shape, or after bundled systematic-debugging.

What to do

Done means a check you ran. Show it failing for the right reason, then passing.

Name the surface you exercised: the CLI, the API, the job, the webhook, or the page. A unit test that never calls that surface is not this check. Run the check with terminal.

Report-only mode lists the check, the command, and the expected failure. Do not edit product code in that mode.

A performance claim names the limiter, how many times you repeated it, and the error. Otherwise it is not a result. An unvetted number is not a result.

Do not restate bundled skills. Load them with skill_view:

  • A bug with a cheap unit test: test-driven-development.
  • Browser exploration of a page: dogfood. Use browser_exec only as that skill directs.

When the passing check is real, stop. Opening a pull request is ship, and only when the user asks.

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.