Content
81%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 an exceptionally concrete orchestrator runbook: every phase has executable commands, named artifacts, and deterministic gates with exit-code-driven rollback behavior, and reference files are well-signaled with clear consumers. Its main weakness is length — changelog, rationale essays, and path-resolution digressions inflate the SKILL.md itself instead of living in design-notes.md, and the referenced runtime scripts sit outside the skill bundle.
Suggestions
Move the version-history block, the 🔴 TAG-collision narrative, and the '왜 필요한가/왜 게이트 직전인가' rationale paragraphs into references/design-notes.md, leaving one-line pointers — this directly addresses the conciseness gap (score 3).
Compress the SKILL_ROOT derivation section to the working snippet plus a two-line note on cd -P and the fallback, moving the symlink/install-layout explanation to design-notes.md.
Clarify in the 참고 자료 section that scripts/*.py resolve at the plugin install root rather than the skill directory, so a reader auditing the bundle does not expect a scripts/ folder alongside references/.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly operational and does not explain concepts Claude already knows, but at ~346 lines it carries noticeable padding: an inline version-history changelog at the top, a multi-paragraph 🔴 sidebar on why TAG collisions occur, a three-paragraph essay on why `cd -P` matters in the SKILL_ROOT derivation, and repeated "왜 필요한가 / 왜 게이트 직전인가" rationale blocks — much of which already has a designated home in design-notes.md. This fits 'mostly efficient but includes some unnecessary explanation or could be tightened'; it is not score 4 because the rationale digressions are more than minor trimming candidates, and not score 2 because none of it explains generic known concepts. | 3 / 5 |
Actionability | Guidance is fully executable and copy-paste ready: exact bash for TAG generation and the SKILL_ROOT walk, complete shim invocations with every flag documented (``python3 ${SKILL_ROOT}/scripts/prepare_monolith_input.py --run-dir _workspace/{run_id} --genre {genre} --diagnosis … --chunk``), concrete agent call specs with named input/output files (input_path, quick_rules_path, diagnosis_path, rewritten_path), and the restore_modality.py/strip_injected_commas.py command pair. This matches 'fully executable; copy-paste ready code or commands; specific examples cover the common cases' and is above score 4, which tolerates minor gaps — the common light/standard/heavy cases are each fully specified. | 5 / 5 |
Workflow Clarity | The multi-step process is clearly sequenced (Phase 0 → 1 → path-specific P1/P2/P2.5/P3 → Phase 2.4 → 2.5 → 결과 전달) with an explicit validation gate (verify_gates.py) and an exit-code table defining feedback loops: exit 1 warns and escalates finalize, exit 2 forbids adoption and triggers one rollback retry then hold_and_report, exit 3 mandates retry rather than skipping the gate. The finalize escalation table and data-flow diagram reinforce this, matching 'clear sequence with explicit validation steps; feedback loops for error recovery'. | 5 / 5 |
Progressive Disclosure | Structure is good: ten reference files (design-notes, quick-rules, diagnosis-rules, metrics_v2/baseline, taxonomy, rewriting-playbook, scholarship, web-service-spec) all exist, are one level deep, and each is introduced with its consumer and purpose (e.g. diagnosis-rules.md as the diagnostician-only slim index), with detailed design rationale correctly split out to design-notes.md. It falls short of score 5 because the SKILL.md itself is not a lean overview — the changelog, path-resolution essays, and design-rationale blocks are inlined where the anchor expects them in the referenced files — and the referenced ${SKILL_ROOT}/scripts/*.py files are not part of the skill bundle's own directories. | 4 / 5 |
Total | 17 / 20 Passed |