Content
77%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with an unusually well-validated workflow (deterministic QA gates, a repair feedback loop, and a precise subagent handoff contract), but it is roughly a third longer than it needs to be due to repeated restatement of the transparency and boundary rules, and it underuses its own bundled reference files by inlining their content instead of linking them. Tightening the Rules section and pointing at qa-rubric.md / codex-pet-contract.md would raise both conciseness and organization.
Suggestions
Deduplicate the transparency/effects policy: state it once in 'Transparency And Effects' and have 'Rules', the state-specific guidance, and the subagent template reference that section instead of restating it; this could cut roughly a third of the body.
Link the existing bundled references: replace the inlined geometry/QA bullets in 'Acceptance Criteria' with pointers to references/codex-pet-contract.md and references/qa-rubric.md (both currently present in the bundle but never mentioned in the body).
Move the long enumerations (pet naming examples, the allowed/forbidden effects catalog) into a reference file and keep only the decision rules in SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Almost everything is novel skill-specific policy rather than concepts Claude already knows, but there is substantial repetition: the transparency/effects rules appear in 'Transparency And Effects', again as per-state guidance, again nearly verbatim in 'Rules', and again in the subagent handoff contract ('no detached effects, no wave marks for waving, no speed lines or dust for running rows'). The ~10-bullet 'Rules' section largely restates earlier sections and could be cut or compressed by roughly a third. | 3 / 5 |
Actionability | Fully executable throughout: exact bash invocations for every script (prepare_pet_run.py, pet_job_status.py, record_imagegen_result.py, finalize_pet_run.py, queue_pet_repairs.py), expected output file trees, a copy-paste subagent handoff template, and concrete acceptance criteria. A reader can execute the whole pipeline without inventing steps. | 5 / 5 |
Workflow Clarity | The Default Workflow is a clear numbered sequence (prepare -> inspect jobs -> generate/ingest per job -> finalize) with explicit validation checkpoints (qa/review.json, final/validation.json, contact-sheet visual review) and a genuine feedback loop: failed row QA -> queue_pet_repairs.py -> regenerate the smallest failing scope -> re-ingest. The subagent flow is an equally explicit 9-step checklist with parent/subagent write boundaries. | 5 / 5 |
Progressive Disclosure | Section headers are clear and `references/animation-rows.md` is a real, well-signaled one-level reference, but the body inlines a lot of content that belongs in the existing bundled files: the Acceptance Criteria duplicate the geometry/QA checks already in `references/codex-pet-contract.md` and `references/qa-rubric.md`, neither of which is mentioned or linked anywhere in the body. Long inlined lists (pet naming examples, the allowed/forbidden effects catalog) would also fit better in reference files. | 3 / 5 |
Total | 16 / 20 Passed |