Content
78%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.
The body is concise and well-structured with appropriate one-level-deep progressive disclosure, but the workflow is guidance-level rather than executable and lacks explicit validation checkpoints for multi-source evidence gathering.
Suggestions
Add one concrete per-source query example or API call pattern in the body (or a quick-start snippet) so Claude has executable guidance without needing the reference for the common case.
Make workflow checkpoints explicit, e.g. after step 2 add a verify step confirming the chosen source returned evidence before proceeding to cross-database mapping or table assembly.
Inline the multi-source output table column schema (currently only in the reference) into the body, since it is the core deliverable pattern for this skill.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean, well-organized body with tight bullet lists and no padding or explanation of concepts Claude already knows; every section earns its place. | 5 / 5 |
Actionability | The workflow gives procedural hints ('Pick the narrowest source', 'Preserve source names, query terms, access dates') but the body lacks concrete executable query patterns or per-source API guidance; the concrete output table pattern lives only in the reference file, leaving the body itself incomplete. | 3 / 5 |
Workflow Clarity | A clear five-step sequence is present with a sensible order; for read-only lookups the destructive/batch validation cap does not apply, but checkpoints (e.g. verifying a source returned evidence before cross-mapping) remain implicit rather than explicit. | 4 / 5 |
Progressive Disclosure | Clean overview structure (Use For / Do Not Use For / Workflow / Source Guide) with a single one-level-deep reference, references/database-evidence-sources.md, which exists and is clearly signaled. | 5 / 5 |
Total | 17 / 20 Passed |