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neuraforge-cl-esneuraforge-cl-es/adaptive-engineering/skills/verification/SKILL.md

verification

Skill1 starsChanged 11 days agoMITView on GitHub

Establish concrete evidence that a change works by selecting and running the strongest practical tests, checks, builds, or integration validations for the task.

47 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use evidence-driven-writing, experiment-results-planning 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.
  • Norman-burySkill

    evidence-driven-writing

    Use when writing or revising Introduction, Related Work, background, literature synthesis, or any section where references must drive claims

    Also in 3 projects that use this

  • Norman-burySkill

    experiment-results-planning

    Use when designing experiments, result tables, mock planning data, evaluation protocols, or results sections before real data are final

    Also in 3 projects that use this

  • +10 more from Norman-bury

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 39 edited versions we read keep these.

  • 4

    Distinctive

    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:

    Prefer executable evidence over visual confidence.

    line 23
  2. Distinctive:

    Verify the changed behavior and at least one important adjacent path when risk warrants it.

    line 24
  3. Distinctive:

    Do not report commands as passing unless they were actually run and passed.

    line 25
  4. Distinctive:

    If verification is blocked, identify the exact blocker and residual risk.

    line 27

“Common” is measured: kept by at least 6 in 10 of the 39 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

Verification

Select evidence by risk

Possible evidence includes:

  • focused unit/behavior tests
  • integration tests
  • full relevant test suite
  • type checker
  • linter/static analysis
  • build/package step
  • reproducible CLI/API request
  • migration dry run
  • rollback test
  • deployment/configuration validation

Verification rules

  1. Prefer executable evidence over visual confidence.
  2. Verify the changed behavior and at least one important adjacent path when risk warrants it.
  3. Do not report commands as passing unless they were actually run and passed.
  4. Separate pre-existing failures from failures caused by the change.
  5. If verification is blocked, identify the exact blocker and residual risk.

Completion evidence

Return the compact evidence receipt described in EXECUTION.md, scaled to the task:

  • mode and PASS / FAIL / BLOCKED / PARTIAL outcome
  • acceptance criterion and actual evidence
  • precise command/check and observed result (or NOT RUN with reason)
  • expected-versus-actual scope when relevant
  • remaining blocker, rollback risk or unknown

For delegated work, independently examine returned artifacts rather than reporting a subordinate agent's assertion as proof. Do not claim measured savings, reliability or performance improvements without a real baseline and repeatable measurement.

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