Content
86%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-crafted skill body: executable commands with documented defaults, a complete output contract, and clean separation of metric definitions into a real, one-level-deep reference file. The only notable improvements are de-duplicating the double-counting explanation and adding a lightweight verification step after the digest run.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes competence — no padding, no explanation of concepts Claude already knows, and the JSON example documents the output contract rather than over-teaching. It is not a 5 because the double-counting invariant is explained twice at length ("How It Works" bullet and "Key Principles" 1–2), and "Pure calculation — no API key required" repeats the description. It is not a 3 because these are minor trims, not whole unnecessary sections. | 4 / 5 |
Actionability | Step 1 gives a fully executable, copy-paste-ready command with realistic flags ("python3 skills/weekly-performance-digest/scripts/generate_weekly_digest.py --state-dir state/theses --from-date 2026-06-13 --to-date 2026-06-20 --output-dir reports/ -v"), documents all defaults, names the exact output files, and shows the complete JSON output schema. Coverage of the common case (default trailing-7-day run) is explicit. | 5 / 5 |
Workflow Clarity | A clear three-step sequence (run → read report → optional downstream) with concrete commands, flag defaults, and explicit edge-case behavior ("An empty week still produces a valid report with zeroed metrics (exit code 0)"). It is not a 5 because there is no explicit validation/checkpoint step (e.g., confirming the output files were written or inspecting summary counts before interpreting), though as a read-only descriptive skill it carries little risk; it is not a 3 because the sequence is complete and unambiguous with implicit checkpoints. | 4 / 5 |
Progressive Disclosure | The body is a well-organized overview that moves detail to one-level-deep, verified bundle files: "scripts/generate_weekly_digest.py — digest generator (JSON + Markdown)" and "references/weekly-digest-metrics.md — metric formulas and interpretation", both of which exist in the bundle and match their descriptions. Inline content (workflow, output schema, core invariants) is appropriately kept in SKILL.md, and navigation via the Resources section is clear. | 5 / 5 |
Total | 18 / 20 Passed |