Content
85%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 strong, well-structured skill body: executable commands for all three ecosystems, a complete cross-reference script, an explicit verification step with error-recovery guidance, and proper use of a single one-level-deep reference file. The only deductions are minor: repeated statements of the Fix-Backlog routing rule and a CI block that references a script path the bundle does not actually provide.
Suggestions
Consolidate the 'reachable: false routes to Fix-Backlog unless KEV' rule into a single authoritative statement — it currently appears in step 6, after the cross-reference script, and in the worked example.
Make the CI integration self-contained: either note that ci/annotate-reachability.py is the inline Python script saved at that path, or add it to a scripts/ directory in the bundle so the YAML block is copy-paste ready.
Give step 5's verification a concrete check (e.g., a one-line shell/Python assert for the non-empty file and populated reachable fields) so the checkpoint is as executable as the rest of the workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and actionable with no padding that explains concepts Claude wouldn't know, matching 'Efficient; minor instances of over-explanation that could be trimmed'. Minor trims exist: the 'reachable: false routes to Fix-Backlog unless KEV' routing rule is stated three times (step 6, after the cross-reference script, and in the worked example), and the dead-dependency commands from step 2 are repeated in the CI integration block. Not 3 because every section carries unique actionable content; not 5 because the duplication is real and could be consolidated. | 4 / 5 |
Actionability | Guidance is almost fully copy-paste ready: exact commands with flags per ecosystem ('npx knip --reporter json | jq -r \'.dependencies[].name\'', 'vulture src/ --min-confidence 90'), a complete executable Python cross-reference script, a worked example with a real CVE ID, and CI YAML. Two minor gaps keep it from 5: the CI block invokes 'python3 ci/annotate-reachability.py osv.json unused-deps.txt', a script path not present in the bundle (the reader must save the inline script there themselves), and step 5's verification ('assert unused-deps.txt is non-empty') gives no concrete assert command. Clearly above the anchor-3 pseudocode/incomplete level. | 4 / 5 |
Workflow Clarity | The 7-step sequence is explicit and includes a dedicated validation checkpoint with an error-recovery feedback loop: step 5 says 'assert `unused-deps.txt` is non-empty and every finding... carries a populated `reachable` field... If the file is empty or a finding lacks the field, re-run the dead-dependency tool (a silent tool failure or the wrong workspace root is the usual cause) and re-annotate before proceeding.' This matches the anchor 'Clear sequence with explicit validation steps; feedback loops for error recovery' — it even diagnoses the likely failure cause for a batch-annotation operation. | 5 / 5 |
Progressive Disclosure | SKILL.md is a well-structured overview (When to use / How to use / worked example / anti-patterns / limitations / references) that pushes per-tool detail — config files, exit codes, false-positive suppression — into exactly one one-level-deep, well-signaled reference: 'Full config, flags, exit codes, and suppression per tool: [references/dead-dependency-tools.md]'. The referenced file exists in the bundle and carries that detail, and the split is appropriate (quick-start commands inline, per-tool depth in the reference). Matches the anchor-5 pattern of clear overview with one-level-deep references and easy navigation. | 5 / 5 |
Total | 18 / 20 Passed |