Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is actionable, with a real bundled script, complete parameter and output specs, and executable commands, but it is heavily padded with generic scaffolding and the workflow's validation checkpoints are not well integrated. Tightening the boilerplate and consolidating the scattered validation steps would materially improve it.
Suggestions
Remove or relocate the generic boilerplate sections (Risk Assessment, Security Checklist, Evaluation Criteria, Lifecycle Status, Metadata, Output Requirements, Response Template) that do not add skill-specific guidance, to improve conciseness.
Integrate the Quick Check / audit validation steps directly into the Workflow as explicit numbered checkpoints (e.g. 'Validate: python -m py_compile scripts/main.py' before running) and add an output-validation step with a fix-and-retry loop.
Resolve the awkward cross-references ('See `## Usage` above', 'See `## Workflow` above') and the stray hardcoded path in Example Usage, which read as templating artifacts rather than clear navigation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body contains genuine signal (parameter table, output JSON, usage commands) but is padded with large amounts of generic templated boilerplate (Risk Assessment, Security Checklist, Evaluation Criteria, Lifecycle Status, Metadata, Key Features, Implementation Details) that does not add skill-specific knowledge and could be heavily trimmed. | 2 / 3 |
Actionability | It provides an executable entry point, a complete input-parameter table, a concrete output JSON schema, and copy-paste-ready commands such as 'python scripts/main.py --paper-text "..." --institution "XX University"' plus audit commands, matching the fully-executable anchor. | 3 / 3 |
Workflow Clarity | A sequenced 5-step Workflow is present with some early validation ('stop early if unsupported') and a Quick Check / audit commands, but validation checkpoints are scattered and not tightly integrated into the main sequence, and there is no explicit validate-output feedback loop. | 2 / 3 |
Progressive Disclosure | The single reference (references/audit-reference.md) and the bundled scripts/main.py are real, clearly signaled, and one level deep, but the SKILL.md itself is a 245-line monolith with much inline boilerplate that should be split out or removed. | 2 / 3 |
Total | 9 / 12 Passed |