Verify

SkillCloud & infra

Verify makes your AI back up every success claim with real evidence. Before it reports that a task is done, a bug is fixed, or a build works, it has to run the relevant command and show fresh output. This keeps 'it works' statements grounded in what actually happened.

Available today. Use it from your connected AI after setup.

Add the skill and keep working as usual — ask your AI to fix a bug, run tests, or finish a task. Before it tells you anything succeeded, it will show fresh command output as proof.

Then ask your AI: use the Verify skill

What your AI can do with it

  • Require fresh command output before reporting any task as complete
  • Confirm bug fixes with real output before calling them done
  • Check that tests, builds, and deployments actually succeeded
  • Verify each phase is finished before moving on
  • Hold off on 'it works' claims until there is proof

What this skill tells your AI

The instructions your AI receives, as published by codeaholicguy/ai-devkit in skills/verify/SKILL.md and read by ahel’s review.

Prove it works before saying it works.

Hard Rules

  • Do not claim completion without fresh terminal evidence from this session.
  • Forbidden words in completion claims: "should", "probably", "seems to", "likely", "I believe", "I think it works". These signal unverified assertions.
  • Cached, remembered, or previous-session output is not evidence. Run it again.

Gate Function

Every completion claim must pass all 5 steps in order:

  1. Identify — What command proves this claim? If multiple commands are needed, run the gate once per command.
  2. Run — Execute the full command now. No partial runs, no skipping.
  3. Read — Read complete output. Check exit code. Count pass/fail.
  4. Confirm — Does the output prove the exact claim?
  5. Report — State the result, cite command, exit code, and key output.

If any step fails, stop. Fix the issue and restart from step 1.

If no verification command exists (e.g., no test suite), tell the user and ask them how to verify before claiming done.

Verification Patterns

ClaimRequired EvidenceNot Sufficient
Tests passTest output: 0 failures, exit 0Previous run, "should pass now"
Build succeedsBuild output: exit 0Linter passing, partial build
Bug is fixedReproduce symptom → now passes"Changed code, should be fixed"
Linter cleanLinter output: 0 errorsSingle file check
Phase completeEach criterion verified individually"Tests pass, so done"
Feature worksE2E test or manual walkthroughUnit tests alone

Regression Verification

For bug fixes, a single pass is not enough:

  1. Write a test covering the bug.
  2. Run → must pass (fix in place).
  3. Revert the fix.
  4. Run → must fail (proves test catches the bug).
  5. Restore the fix.
  6. Run → must pass.

If step 4 passes, the test is wrong. Rewrite it.

Red Flags and Rationalizations

RationalizationWhy It's WrongDo Instead
"This change is trivial"Trivial changes break things constantlyRun the check
"I ran it earlier"Code changed since thenRun it again now
"The test is flaky"Flaky ≠ ignorableFix the flake first
"It compiles, so it works"Compilation ≠ correctnessRun the tests
"The CI will catch it"CI is a safety net, not a substituteVerify locally first
"The agent said it's done"Agent claims need verification tooCheck diff and run tests

Memory Integration

After a failed verification, store the failure pattern: npx ai-devkit@latest memory store --title "<failure pattern>" --content "<what failed and how to avoid>" --tags "verify,failure-pattern"

Task Tracing

If a task name is known and tracing is usable, record task evidence after the verification report per task. If tracing was not probed, run the real read probe first. If probe or evidence recording fails, report the failed task command and continue verification; never block verification on optional task logging.

Signals

GitHub stars
2k
Forks
250
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
verify-codeaholicguy
Source
github.com/codeaholicguy/ai-devkit