agentleFS
YehudaFrankelYehudaFrankel/clankbrain/.claude/skills/verification-loop/SKILL.md

verification-loop

Skill16 starsChanged 7 months agoMITView on GitHub

Continuous self-evaluation after code changes. Combines compile/build verification with functional smoke tests and a code quality self-check. Catches problems before the user has to report them. Triggers on \"verify\" or \"run verification loop\" or \"check this works\" or after any code change.

84 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use everything-claude-code, everything-claude-code-conventions 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.
  • InfopibeSkill

    everything-claude-code

    Also in 10 projects that use this

  • mryeastcodeSkill

    everything-claude-code-conventions

    Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

    Also in 8 projects that use this

  • InfopibeSkill

    investor-materials

    Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.

    Also in 25 projects that use this

  • niloykumarbarmanSkill

    agent-sort

    Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

    Also in 8 projects that use this

  • tpavanipradeepSkill

    nextjs-turbopack

    Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.

    Also in 15 projects that use this

  • CodeWithBehnamSkill

    dmux-workflows

    Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.

    Also in 17 projects that use this

  • +1 more from Infopibe

The file

We split this skill into the rules it gives an agent

12 rules. 0 are common, 11 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 78 edited versions we read keep these.

  • 11

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run your project's build command

    line 21
  2. Distinctive:

    Verify exit code 0 / no errors

    line 22
  3. Distinctive:

    If build fails: fix before proceeding

    line 23
  4. Distinctive:

    Call/invoke each with minimal valid inputs

    line 27
  5. Distinctive:

    Verify expected output — not just "no error"

    line 28
  6. Distinctive:

    Check for runtime errors in logs

    line 29
  7. Distinctive:

    Verify the changed UI element renders correctly

    line 32
  8. Distinctive:

    Check that no JS errors would appear in console

    line 33
  9. Very specific:

    Verify no undefined values in rendered output

    line 34
  10. Distinctive:

    Run this skill after every substantive code change, before reporting done

    line 51
  11. Distinctive:

    Update memory/reference docs as part of verification, not as an afterthought

    line 53
  12. Distinctive:

    If verification reveals a new issue, fix it before marking the task complete

    line 54

“Common” is measured: kept by at least 6 in 10 of the 78 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

Skill: verification-loop

Trigger: "verify" or "run verification loop" or "check this works" or after any code change

Auto-triggered by: debug-session after Step 5 (fix applied). Fires automatically — user does not need to ask.

Description: Continuous self-evaluation after code changes. Combines compile/build verification with functional smoke tests and a code quality self-check. Catches problems before the user has to report them.

Allowed Tools: Bash, Read, Glob


Steps

1. Build/Compile Check

  • Run your project's build command
  • Verify exit code 0 / no errors
  • If build fails: fix before proceeding

2. Smoke Test

  • Identify which endpoint(s) or function(s) were changed
  • Call/invoke each with minimal valid inputs
  • Verify expected output — not just "no error"
  • Check for runtime errors in logs

3. Frontend Check (if applicable)

  • Verify the changed UI element renders correctly
  • Check that no JS errors would appear in console
  • Verify no undefined values in rendered output

4. Self-Evaluation Checklist

  • Does the change do exactly what was asked — no more, no less?
  • Are edge cases handled? (empty values, null, missing params)
  • Does it follow the project's conventions?
  • Are memory files updated? (function indexes, reference docs)
  • Any new code that introduces the same pattern we just fixed elsewhere?

5. Report

  • ✅ "All checks passed — [summary of what was verified]"
  • ❌ "[Issue found] — [description and suggested fix]"

Notes

  • Run this skill after every substantive code change, before reporting done
  • "It compiled" is not the same as "it works" — always smoke test
  • Update memory/reference docs as part of verification, not as an afterthought
  • If verification reveals a new issue, fix it before marking the task complete

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.