Content
82%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-structured, highly actionable advisory skill with a clear five-step workflow and concrete CLI examples. It assumes Claude's intelligence and avoids concept re-explanation; its main gaps are a missing explicit verification step for computed metrics and referenced bundle files that are not present in the bundle.
Suggestions
Add an explicit validation checkpoint in Step 2 (e.g. "Verify each computed metric against the formulas.md definitions before benchmarking; re-check any value that looks implausible").
Ship the referenced files (references/formulas.md, references/benchmarks.md, assets/input-template.md, scripts/*.py) in the bundle so the signaled references are actually navigable, or inline the formula fallback so the skill is self-contained.
Consider moving the full output template and the per-script CLI reference into a reference file, keeping SKILL.md as a lean overview with a quick-start example.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and assumes Claude's competence (it never defines what churn, LTV, or CAC are), but the three full CLI example blocks, two worked examples, and the complete output template are heavier than a lean SKILL.md needs, leaving minor trimmable instances that keep it off the 5 anchor. | 4 / 5 |
Actionability | Guidance is copy-paste ready with real flags (e.g. "python scripts/metrics_calculator.py --mrr 50000 --customers 100 --churned 5 --json"), an explicit formula fallback, a full output template, and worked examples covering partial-data and critical cases, matching the fully-executable top anchor. | 5 / 5 |
Workflow Clarity | The five numbered steps (Collect Inputs → Calculate → Benchmark → Prioritize → Output) form a clear sequence with soft checkpoints (flag missing data, confirm segment before scoring, cap priorities), but there is no explicit verification step for the computed metrics; since the skill is read-only analysis rather than destructive/batch, the 3-cap does not apply. | 4 / 5 |
Progressive Disclosure | Structure is good with clearly signaled one-level-deep references (a "Reference Files" list describes formulas.md, benchmarks.md, input-template.md, and the three scripts), but the full output template and all CLI docs are inlined and none of the referenced bundle files actually exist in the bundle, so navigation would dead-end — minor gaps that keep it off the 5 anchor. | 4 / 5 |
Total | 17 / 20 Passed |