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Principle Prove It Works

  • 411 installs
  • 2.5k repo stars
  • Updated August 5, 2026
  • cursor/plugins

Require demonstrable verification—smoke runs, fixtures, or reproducible steps—before claiming a Cursor plugin feature or fix is complete.

About

Prove-it-works principle for Cursor plugin work: no feature is done until verified with executed tests or reproducible demonstrations that show the advertised behavior in a real environment.

  • Run checks before merge
  • Capture reproducible evidence
  • Reject untested claims
  • Exercise real plugin paths
  • Treat proof as definition of done

Principle Prove It Works by the numbers

  • 411 all-time installs (skills.sh)
  • Ranked #648 of 2,153 Testing & QA skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/cursor/plugins --skill principle-prove-it-works

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Listed on Skillselion
Installs411
repo stars2.5k
Last updatedAugust 5, 2026
Repositorycursor/plugins

What it does

Require demonstrable verification—smoke runs, fixtures, or reproducible steps—before claiming a Cursor plugin feature or fix is complete.

Files

SKILL.mdMarkdownGitHub ↗

Prove It Works

Verify every task output by checking the real thing directly. Do not infer from proxies, self-reports, or "it compiles."

Why: Unverified work has unknown correctness. Indirect verification (file mtimes, output freshness, agent self-reports, cached screenshots) feels cheaper than direct observation. Acting on a wrong inference costs far more than checking the source.

Pattern: After completing any task, ask: "how do I prove this actually works?"

Check the real thing, not a proxy:

  • Check process liveness directly, not indirectly through derived state
  • Read the actual value, not a cached or derived representation
  • When verification fails, suspect the observation method before suspecting the system

Code and features: 1. Build it (necessary but not sufficient) 2. Run it and exercise the actual feature path 3. Check the full chain: does data flow from input to output? 4. For integrations, test the full communication path end-to-end

Delegation: trust artifacts, not self-reports. When verifying delegated work, inspect the actual output artifact (git diff, file contents, runtime behavior), not the delegate's summary. Agents report what they intended, not always what happened.

Script the check when you can

The strongest proof is a deterministic script that re-runs the same comparison, not a one-time eyeball. Write the script, run it, and keep its output as an artifact a reviewer can re-run instead of trusting your word. A script comparing the old and new compiled output catches what a glance misses.

Keep the artifact visible for the human. Commit it only for large or complex work where the trail has to be auditable later, like a big port or migration (the show-me-your-work skill). Most work just needs it visible, not committed.

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