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.
A genuinely actionable, well-sequenced procedure with concrete commands, code, and worked examples. Its weaknesses are token efficiency — background explanations of the test pyramid and cyclomatic complexity with repeated verbatim quotes — and the absence of any bundle structure despite referencing a script the CI example expects to exist.
Suggestions
Trim the background concept explanations: keep the McCabe formula and one-line risk caveat, and drop the threshold blockquote and the two long Fowler quotes (the References section repeats them nearly verbatim) — the body should assume Claude knows what cyclomatic complexity and the test pyramid are.
Split the per-format parsing details (LCOV BRDA / Cobertura condition-coverage / Jest b-field / JaCoCo counters) and the coverage debt ledger into references/ files, keeping SKILL.md as the 8-step overview with well-signaled one-level-deep links.
Ship scripts/coverage_targets.py (the CI snippet invokes it) or rewrite the snippet to inline the logic so no nonexistent bundle file is referenced.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The core procedure is efficient, but the body over-explains concepts Claude already knows: the full McCabe threshold-convention blockquote ('1 - 10: Simple procedure, little risk'...), two long verbatim Fowler quotes ('UI tests are brittle, expensive to write, and time consuming to run'), and a References section that repeats the same quoted rationale nearly verbatim. This is more than the 'minor instances' of anchor 4 but far from the heavily padded anchor 2. | 3 / 5 |
Actionability | Mostly executable guidance: copy-paste commands (`git log --since='90 days ago' --format= -- src/checkout/cart.ts | wc -l`, `radon cc src/ -a`, `npx complexity-report src/ -f json`), concrete risk_weight/layer functions, exact record formats to parse, a worked render example, and ready CI YAML. It falls short of anchor 5 because the Python snippets depend on undefined helpers (mccabe_complexity, git_churn, normalize) and the CI snippet invokes scripts/coverage_targets.py, which does not exist in the bundle. | 4 / 5 |
Workflow Clarity | The 8 steps (Inputs → Extract → Risk → PR-touch → Cost → Rank → Render → CI advisory) are clearly numbered and sequenced, with failure-mode checkpoints woven in (`fetch-depth: 0` or 'every file looks low-churn', skipping `pragma: no cover` / `istanbul ignore`, advisory-not-gating). The gap that keeps it at anchor 4 rather than 5 is the absence of an explicit validation step (e.g., verifying the coverage report parsed correctly before ranking). | 4 / 5 |
Progressive Disclosure | The skill is a ~350-line monolithic SKILL.md with no references/ files: per-format parsing details (LCOV BRDA / Cobertura / Jest b-field / JaCoCo counters) and the entire second debt-ledger workflow are inline and clearly belong in separate reference files. The CI example also points to scripts/coverage_targets.py that is not shipped in the bundle. Structure is good, matching anchor 3 ('content that should be separate is inline') rather than anchor 4. | 3 / 5 |
Total | 14 / 20 Passed |