Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with a well-sequenced, validated workflow and a clean one-level-deep reference structure. The only weakness is an inline dated dependency snapshot that competes with the token budget rather than living in a versioning/old-patterns section.
Suggestions
Move the dated package-version table and 'verified 2026-07-23' snapshot into a separate references/version_snapshot.md (or a clearly marked versioning section) so SKILL.md stays evergreen and lighter.
Consider linking the version pins from the 'Install only capabilities needed' block rather than reproducing the full dated table inline in SKILL.md.
If the version baseline must stay inline, isolate it under a labeled 'Dependency snapshot (verify before use)' heading so it reads as a deliberately time-sensitive block rather than core guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and avoids padded concept explanations, but it carries an inline dated version pin table ('verified 2026-07-23', specific package versions) that the rubric penalizes when not placed in a deprecated/old-patterns section. | 2 / 3 |
Actionability | Commands are fully executable with concrete flags (e.g. 'python scripts/eda_analyzer.py data.csv --root /approved/project --max-rows 100000 --output data.eda.json') and explicitly note placeholder identifiers. | 3 / 3 |
Workflow Clarity | A five-step workflow is clearly sequenced with explicit validation checkpoints (manifest before analysis; 'If status is reference_only, do not run'; 'If unknown, stop') and an authorization gate. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview pointing to six one-level-deep references in a clear table ('Read the one relevant format reference. Do not load every reference'); all referenced scripts, assets, and references were verified to exist. | 3 / 3 |
Total | 11 / 12 Passed |