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gclmgclm/super-stack/skills/harness/closed-loop-testing/SKILL.md

closed-loop-testing

Skill0 starsChanged 7 months agoMITView on GitHub

Collect fresh evidence into a task-local evidence pack and turn implemented work into a structured verdict before calling it done.

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    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:

    Use when a task needs fresh evidence before it can be treated as complete.

    line 8
  2. Distinctive:

    update the task-local evidence pack

    line 20

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 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

Closed Loop Testing

Use when a task needs fresh evidence before it can be treated as complete.

Read First

  • skills/harness/closed-loop-testing/references/evidence-pack-format.md
  • skills/harness/closed-loop-testing/assets/evidence-index.json
  • skills/harness/closed-loop-testing/assets/verdict.json
  • protocols/verify.md

Goals

  • collect the strongest available evidence
  • update the task-local evidence pack
  • separate implemented, verified, unverified, and remaining risks

Process

  1. identify the strongest available validation path
  2. collect evidence into evidence-index.json
  3. summarize the outcome in verdict.json
  4. escalate to verify or qa when the task still needs stronger proof

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