Verify before done
Use when about to claim work is complete, fixed, or passing — before committing, opening a PR, marking a task done, or relaying a subagent's success reportFrom its SKILL.md
npx -y skills add yuchi-chang/no-cape --skill verify-before-doneAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
2.7 KB, 561 tokens by cl100k_base, as published. Nobody here has run it
Verify Before Claiming Done
Evidence before claims. If the verification didn't run in this turn, the claim can't be made.
The gate
- Name the command that would prove the claim.
- Run it fresh and completely — not a remembered earlier run, not a partial subset.
- Read the full output and the exit code.
- Only then state the result — with the evidence, or with the actual failing state.
What each claim requires
| Claim | Proof required |
|---|---|
| Tests pass | Fresh full test run with 0 failures — lint or build passing is not it |
| Build succeeds | Build command exits 0 — lint passing is not it |
| Bug fixed | The original symptom re-tested and gone |
| Regression test works | Red-green verified once: revert fix → test fails; restore fix → test passes |
| Subagent finished | Inspect the actual diff — never trust the agent's own "success" report |
| Requirements met | Re-read the spec/plan and check items line by line — tests passing ≠ spec met |
Check the criterion, not just the run
A green check only proves what it measured. Before trusting it, ask: does passing this actually mean the work is right? A test that asserts "ran without error" passes on output that silently dropped half its input. The gate above stops you skipping verification; this stops you trusting a verification that checks the wrong thing.
The trap is loudest when a library or default does the work for you — vad_filter, pagination limits, truncation, sampling, auto-retry-then-give-up. The call "succeeds" while quietly discarding part of the result. So when the output is a transformation of an input (transcribe, scrape, convert, migrate, extract), assert on coverage, not just liveness:
- Not "got N segments" but "the N segments cover the input" — duration, word count, row count, page count in vs out.
- Diff the risky default against its alternative once (e.g. filter on vs off) to see what it actually costs you — don't assume, measure.
- If you can't state what complete output would look like, you can't yet claim the run proved anything.
Red flags
"Should work now", "probably passes", expressing satisfaction before running anything, committing without a fresh run. Asserting the pipeline ran without asserting the output is complete. Blaming a component (a filter, a default) for dropping data before reproducing it — name the cause from evidence, not a hunch. If verification fails, report the real state with the output — never optimism.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.