Content
92%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 well-engineered two-part instruction skill: every formula, cut point, and tagging rule is stated with its inputs, its fallback when data is missing, and an honest label of which numbers are conventions. The only weakness is mild redundancy between the frontmatter description and the body's Overview/ownership sections, plus the DORA-separation point repeated across four locations.
Suggestions
Trim the 'What this skill owns, and what it does not' section to a short bullet list or fold it into the Overview, since the frontmatter description already states the non-goals (no instrumentation, no SLOs, no prioritization).
State the DORA-separation rule once (Step 2, where it is introduced and linked to references/dora-metrics.md) and reference it from Step 6 and Limitations instead of re-arguing it in each place.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with domain judgment Claude would not already have — denominator rules, threshold rationales ('Below ~90%, a failing build stops being a signal and engineers re-run by reflex'), convention caveats ('practitioner conventions, not standards'), and an anti-patterns table — so most tokens earn their place. Minor trim opportunities exist: the Overview and the 'What this skill owns, and what it does not' section restate the frontmatter description's scope and non-goals at length, and the DORA-separation point is made in Step 2, Step 6, Limitations, and the reference file. | 4 / 5 |
Actionability | Guidance is fully executable for an instruction-only skill: exact formulas ('pass_rate = successful_runs / (successful_runs + failed_runs)', 'flake_debt_score = (stale_quarantine_count * 2) + new_flakes_in_window'), a complete numeric threshold table, concrete output paths ('quality-digest/<YYYY-MM-DD>.md'), a specified machine-readable 'digest-row' line, and full worked templates in references/output-templates.md that exist and match what the body promises. Missing-data fallbacks are explicit (report raw count with unknown denominator; '[DATA NOT SUPPLIED]' cells). | 5 / 5 |
Workflow Clarity | Ten steps are sequenced across two clearly separated altitudes (Part 1 Steps 1–5, Part 2 Steps 6–10) with an explicit cross-part contract ('the final fenced digest-row line is what the portfolio roll-up consumes'). Edge cases get explicit handling at each point they arise — unavailable deployment denominator, blast-radius data not supplied, first portfolio review with no prior period ('Say so instead of tagging everything STABLE by default') — and the anti-patterns table with fix references acts as an error-prevention checklist. | 5 / 5 |
Progressive Disclosure | SKILL.md is a navigable overview that keeps verbatim definitions and full templates out of the main file in two real, one-level-deep references (references/dora-metrics.md, references/output-templates.md), both existing and both clearly signaled from the exact steps that need them (Steps 2, 5, 6, 10). No nested references; bulk detail is appropriately split and easy to find. | 5 / 5 |
Total | 19 / 20 Passed |