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 tightly written, highly actionable reference body that excels at concise domain-specific guidance and concrete tool signatures. Main gaps are the absence of a runnable Python example despite the 'COMPUTE, DON'T DESCRIBE' directive and no external reference files to offload the inlined API catalog.
Suggestions
Add one short runnable Python snippet under 'COMPUTE, DON'T DESCRIBE' showing the retrieve-then-analyze pattern (e.g., ToolUniverse fetch into a pandas/scipy enrichment calc) to make the directive copy-paste executable.
Introduce an explicit validation checkpoint between phases (e.g., 'Confirm the metabolite ID resolved before moving to Phase 1') and fold Fallback Strategies into the phases as if-then recovery steps.
Move the full tool parameter reference and/or Evidence Grading table into a single references/ file linked from the body to reduce SKILL.md length and create one-level-deep progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense, lean body with no padding about what metabolomics or pathways are; every section (Domain Reasoning, Common Mistakes, Limitations) supplies non-obvious domain knowledge that earns its tokens, matching the 'lean and efficient' anchor. | 5 / 5 |
Actionability | Concrete tool signatures with required/optional params, example IDs, and ID-format notes (e.g., BridgeDb source codes, 'hsa:5230') are mostly executable guidance, but the 'COMPUTE, DON'T DESCRIBE' section instructs running Python yet provides no copy-paste runnable snippet, leaving a minor gap. | 4 / 5 |
Workflow Clarity | A clear six-phase pipeline with a diagram and per-phase tool lists, plus explicit chaining in Phase 3 and Fallback Strategies for recovery, but it lacks explicit per-phase validation checkpoints woven into the sequence ('verify X before proceeding'), capping it below 5. | 4 / 5 |
Progressive Disclosure | Well-organized single file with clear section headers and navigable structure, but no bundle files exist and sizable reference material (full tool parameter reference, evidence-grading tables) is fully inlined rather than split into one-level-deep references. | 4 / 5 |
Total | 17 / 20 Passed |