Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, multi-step audit workflow with executable tooling, explicit access-gap validation, a one-level-deep reference split, and a completion checklist. It is concise, actionable, and avoids explaining concepts Claude already knows.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean, bullet-driven prose that assumes Claude's competence — it never explains what plagiarism or a capture pack is, and every section (registry, inventory, comparison, triangulation, fixes, reporting) earns its tokens, matching the level-3 'every token earns its place' anchor. | 3 / 3 |
Actionability | Provides copy-paste-ready executable guidance — the full `python <skill-dir>/scripts/build_evidence_inventory.py --site ... --reference ... --output ...` invocation plus concrete git commands (`git log -S`, `git log --all --name-status`) and enumerated category checks — rather than vague direction. | 3 / 3 |
Workflow Clarity | A clearly sequenced six-step process with explicit validation checkpoints for a batch/evidence operation — 'Stop and report an access gap when a promised reference is missing', 'Do not clear a site after checking only its homepage screenshot', 'Never turn missing evidence into a pass' — plus a terminal 'Completion checks' checklist, satisfying the level-3 anchor. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview that clearly signals a single one-level-deep reference ('Read [references/audit-rubric.md] before judging findings') and one helper script, both verified to exist; the detailed severity/evidence rubric is correctly split into the reference file rather than inlined, matching the level-3 anchor. | 3 / 3 |
Total | 12 / 12 Passed |