Content
63%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 content delivers a genuinely actionable, well-sequenced audit workflow with a rigorous adversarial reviewer prompt and complete output templates. Its weaknesses are verbosity from duplicated report formats and heavy provenance bookkeeping, an internal contradiction in Step 1 about reading vs. not reading files, and reliance on out-of-bundle shared-references with no in-bundle reference structure.
Suggestions
Consolidate the EXPERIMENT_AUDIT.md and EXPERIMENT_AUDIT.json templates: keep one canonical schema and derive the other from it, removing redundant fields (verdict/overall_verdict, date/generated_at, auditor/reviewer_model) to cut roughly 40 lines.
Resolve the Step 1 contradiction: explicitly permit reading eval scripts solely to extract ground-truth paths (e.g., 'grep for dataset/GT loading lines only; do not summarize content'), so 'collect paths only' and 'look in eval scripts for data loading' are consistent.
Move the reviewer prompt template and the report templates into bundled reference files (e.g., references/reviewer-prompt.md, references/report-template.md) and list them in a clearly signaled navigation section, so SKILL.md becomes an overview and the shared-references pointers are verifiable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly concrete (audit checklist, reviewer prompt), but the dual report templates duplicate each other — "Parse the reviewer's response and write EXPERIMENT_AUDIT.md" followed by a full JSON block whose fields overlap ("verdict" and "overall_verdict", "date" and "generated_at", "auditor" and "reviewer_model") — and the dense opening blockquotes ("Before each reviewer slot, follow [Selectable Reviewers]...") could be tightened. Matches 'mostly efficient but includes some unnecessary explanation or could be tightened'; not 2 because no section explains concepts Claude already knows. | 3 / 5 |
Actionability | Concrete guidance throughout: exact globs ("*eval*.py, *metric*.py, *test*.py, *benchmark*.py"), a fully specified reviewer prompt ("model: gpt-6-astra / reasoning_effort: ultra" plus a complete A-F audit checklist), and copy-paste report templates — matching 'mostly executable guidance; concrete code or commands with minor gaps'. Not 5 because the actual reviewer invocation is never shown as a real tool call ("spawn_agent:" is a sketch referencing out-of-bundle contracts), leaving '[list paths]' placeholders without a resolution step. | 4 / 5 |
Workflow Clarity | Four clearly sequenced steps (collect artifacts → send to reviewer → parse and write report → print summary) with error-recovery handling ("unavailable selections are REVIEW_UNAVAILABLE", "emit BLOCKED/ERROR rather than a provisional PASS") — matching 'clear sequence with most checkpoints present; minor validation gaps'. Not 5 because Step 1 instructs "look in eval scripts for data loading" while simultaneously demanding "DO NOT summarize, interpret, or explain any file content", an internal contradiction, and malformed/unparseable reviewer responses are not handled. | 4 / 5 |
Progressive Disclosure | The ~300-line body inlines the full reviewer prompt and two complete report templates that belong in reference files, while pointing to external files not present in the bundle ("../shared-references/reviewer-backends.md", "shared-references/reviewer-independence.md", "reviewer-routing.md", "review-tracing.md", "integration-contract.md") that are buried in blockquotes and inline prose rather than clearly signaled — matching 'some structure but could be better organized; references present but not clearly signaled; content that should be separate is inline'. Not 4 because no bundled reference files exist to verify and the navigation structure is not laid out as an overview. | 3 / 5 |
Total | 14 / 20 Passed |