Content
62%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body has a clear, validated workflow and real bundled files with executable audit commands, but it is bloated with generic boilerplate and lacks a concrete end-to-end usage example showing real inputs and generated slide output.
Suggestions
Trim generic boilerplate sections (Risk Assessment, Security Checklist, Lifecycle Status, Evaluation Criteria) that do not advance the journal-club task, or move them to the reference file.
Add a concrete copy-paste example such as `python scripts/main.py --title "..." --authors "..." --journal "..."` with a sample of the generated outline.
Keep the well-signaled reference but ensure inline content is genuinely overview-level, pushing detail into references/audit-reference.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is structured and mostly efficient, but it is padded with generic boilerplate sections (Risk Assessment, Security Checklist, Lifecycle Status, Evaluation Criteria, Response Template) that add little journal-club-specific value and could be tightened. | 2 / 3 |
Actionability | Concrete, executable commands are present ('python -m py_compile scripts/main.py', 'python scripts/main.py --help') and the referenced script is real, but no example shows an actual invocation with arguments and expected slide output, leaving guidance incomplete. | 2 / 3 |
Workflow Clarity | The Workflow gives a clear 5-step sequence with explicit validation ('stop early if unsupported assumptions') and a feedback/fallback loop on failure, supported by checklists and an Error Handling section. | 3 / 3 |
Progressive Disclosure | The reference to references/audit-reference.md is well-signaled and one level deep and points to a real file, but most content is inline boilerplate that is not split out, so organization is only adequate. | 2 / 3 |
Total | 9 / 12 Passed |