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Wsh7AshWsh7Ash/skillmcp/skills/verify-tool-output-before-reporting/SKILL.md

verify-tool-output-before-reporting

Skill0 starsChanged 15 days agoMITView on GitHub

Treat tool output as an observation to check, never as a conclusion to publish. Use when a tool result will be quoted in a report, ticket or decision

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read what the tool claims and what it actually returned

    line 20
  2. Distinctive:

    Check the claim against the raw artifact, not against the formatted summary

    line 21
  3. Distinctive:

    every quoted result is traceable to an artifact and a rerun

    line 62

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

Verify Tool Output Before Reporting

Treat tool output as an observation to check, never as a conclusion to publish

Use when: a tool result will be quoted in a report, ticket or decision

Avoid when: the output is a step toward a later measurement that will be verified anyway

Procedure

  1. Read what the tool claims and what it actually returned
  2. Check the claim against the raw artifact, not against the formatted summary
  3. Re-run the call once to confirm the output is stable
  4. Confirm the output's scope matches the question you asked
  5. Note the tool version and arguments beside the quoted result
  6. Report only what you can re-derive from the artifact

Signals

  • the quoted text appears in the artifact at the cited location
  • a rerun produces the same result
  • the answer addresses the question that was actually asked
  • the tool version and arguments appear with the quote

Patterns

1. Claim versus artifact

summary says 50 skills; pack.json says skill_count 50

2. Rerun check

same call twice, identical output

3. Provenance

skillmcp 1.0.0, search_skills("cache")

Pitfalls

  • Quoting a formatted summary as if it were the underlying data
  • Publishing a first-run result that changes on a second run
  • Reporting an answer to a different question than the one asked

Done when

  • every quoted result is traceable to an artifact and a rerun
  • the tool version and arguments accompany the quote

References

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