agentleFS
electrohireelectrohire/spec-kit-evaluator/.github/skills/speckit-aee-trace/SKILL.md

speckit-aee-trace

Skill3 starsChanged 27 days agoMITView on GitHub

Render claim dependencies and inspect epistemic provenance

1 other project uses a version of this.

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The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    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 the generated Mermaid file and report roots, leaves, missing references, cycles, contradictions, and claims capped by weak …

    line 28

≈ “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

Aee Trace Skill

AEE Trace

Render the declared dependency/conflict structure for explicit claims. Manually inspect whether evidence and provenance references resolve; graph generation does not fetch or validate those references.

User input

$ARGUMENTS

Resolve artifact=<path>, apply the project-root and symlink guardrails from /speckit-aee-assess, then run:

python .specify/extensions/aee/scripts/python/run_aee.py graph --input "<artifact>"

Read the generated Mermaid file and report roots, leaves, missing references, cycles, contradictions, and claims capped by weak dependencies. The graph expresses declared epistemic structure; it does not establish causality.

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