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-organized, highly actionable body: every command is executable and verified against the bundled script, and there is no padding or condescension. The main improvement opportunities are removing the redundant Feature Overview table and moving the output examples to a reference file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes Claude's knowledge (no explaining what databases or SQL are), but the Feature Overview table largely duplicates the Subcommands table and the opening line repeats the frontmatter description — minor trimming possible, matching the efficient-with-minor-overexplanation anchor. | 4 / 5 |
Actionability | Every subcommand has a copy-paste-ready invocation for both SQLite and PostgreSQL, plus a parameter table and concrete output examples; the documented commands were verified against the actual argparse CLI in scripts/db_explorer.py. | 5 / 5 |
Workflow Clarity | The skill is single-action per invocation and each command is unambiguous, so no multi-step sequence is needed and the read-only design avoids the destructive/batch validation cap; however, the body exceeds the simple-skill threshold and offers no guidance on handling failures (e.g., what the user sees when a query is blocked), leaving minor validation gaps. | 4 / 5 |
Progressive Disclosure | Structure is good: a single real bundle script referenced consistently, clearly organized sections, no nested or buried references. The output-examples section (~50 lines of sample JSON/Mermaid) is inline content that could live in a reference file as the skill grows, keeping it below the ideal-split anchor. | 4 / 5 |
Total | 17 / 20 Passed |