Content
92%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 high-quality body: executable code with inline validation, a well-sequenced 8-step workflow with a pitfalls checklist for error recovery, and clean progressive disclosure to verified reference files. The only notable trim opportunity is the administrative citation boilerplate and verification meta-commentary, which cost tokens without aiding the analysis task.
Suggestions
Condense or relocate the 'Citing Scientific Agent Skills' section — the detailed arXiv-fetching instructions (~15 lines) are administrative boilerplate that competes with analysis guidance for context; a one-line pointer to a reference file would preserve the behavior at a fraction of the tokens.
Trim the Setup verification meta-commentary ('Local synthetic workflows and small public mapping/catalog queries were executed; Enrichr submission routes were verified from released source with mocked transport...') to a single sentence pointing at references/verified-api.md, which already documents the evidence and boundaries.
Pitfalls 2–4 partially restate Core Workflow Steps 4–5 (background, thresholding, ranking statistic); consider merging those restatements into the workflow steps to remove the duplication.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely efficient — tables, terse bullets, and commented code with no basic-concept padding — but a few sections could be trimmed: the ~15-line 'Citing Scientific Agent Skills' citation-fetching instructions and the verification meta-commentary in Setup ('Local synthetic workflows and small public mapping/catalog queries were executed...') are not task guidance. Fits 'efficient; minor instances of over-explanation that could be trimmed' rather than the lean anchor-5. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready guidance covering the common cases: install commands with pinned versions, a complete Enrichr ORA snippet (including the background and significance filtering), a complete preranked-GSEA snippet with rank construction and asserts, and three concrete helper-script CLI invocations. Not 4 because the examples include validation details and cover both ORA and GSEA paths end-to-end. | 5 / 5 |
Workflow Clarity | The 8-step Core Workflow is clearly sequenced, flags the highest-risk steps ('The middle steps (ID type, background) are where results most often silently go wrong'), embeds explicit validation checkpoints (assert set(genes) <= set(tested), assert rnk.index.is_unique, finite-score checks, helper-script validation of backgrounds/duplicates), and provides an error-recovery checklist via the 9 Common Pitfalls with fixes. | 5 / 5 |
Progressive Disclosure | SKILL.md is a genuine overview; depth lives in four real, one-level-deep reference files, each introduced in a 'Reference Files' section with a per-file content summary and also signaled inline at point of need ('See references/interpretation.md', 'see references/gseapy.md'). All referenced bundle files exist and contain the promised material; no nested-reference chains. | 5 / 5 |
Total | 19 / 20 Passed |