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.
A highly actionable body with an excellent validated workflow loop and accurate, executable script documentation. The weaknesses are token efficiency — a padded Purpose narrative and an inline canon-citation question library that re-teach what Claude already knows — and two asset template files in the bundle that the body never surfaces.
Suggestions
Reference `assets/sop_template.md` and `assets/runbook_template.md` in the body (e.g., in the Scripts or a short Templates section) — both files exist in the bundle but are currently undiscoverable from SKILL.md.
Move the forcing-question library's "Canon:" citations into the existing `references/5w2h_sop_canon.md` and `references/runbook_canon.md` files, keeping only the questions and recommended answers inline to cut ~a third of the body's tokens.
Tighten the Purpose section: drop the three-years-in sprawl storytelling and keep the numbered failure-mode list, which already carries the information.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient (the Scripts and Workflow sections are dense and useful), but the Purpose narrative ("An ops organization three years in accumulates a sprawl: 600 Notion pages...") and the 33-line forcing-question library re-explain canon material Claude already knows (Gawande's Checklist Manifesto points, ISO 9001 §7.5.3, AWS Well-Architected quotes). Not 4: the storytelling padding and inline canon citations are more than minor instances of over-explanation. | 3 / 5 |
Actionability | Fully executable guidance throughout: concrete commands with flags (`kb_ingester.py --input <vault-dir>`, `sop_generator.py --input <metadata.json> --profile <ops|support|finance|hr|it|regulated>`, `--stale-days`), explicit verdict thresholds (≥ 80 SAFE-TO-USE, 60-79 USE-WITH-CAUTION, < 60 NOT-SAFE), and a copy-paste Quick example. Specific examples cover the common cases. | 5 / 5 |
Workflow Clarity | The four-step flow is clearly sequenced with explicit commands and an embedded validation feedback loop (step 4: "Re-run `kb_ingester.py` after the cleanup sprint to verify orphan-page count is down and glossary drift is resolved"), plus safety cautions for the batch cleanup ("The cleanup list is a *priority queue*, not a delete list"). This matches the anchor for clear sequence with explicit validation steps. | 5 / 5 |
Progressive Disclosure | Good structure overall: three references are clearly signaled, one level deep, and verified to exist with substantive content; the Scripts section accurately describes the three scripts on disk. Not 5: `assets/sop_template.md` and `assets/runbook_template.md` are never mentioned anywhere in the body (a discovery failure verified against the bundle), and the 33-line forcing-question library is inline content that could live in a references file. | 4 / 5 |
Total | 17 / 20 Passed |