Content
75%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 organized, highly actionable lipidomics skill body that pairs concrete tool calls and an executable pipeline with genuine domain expertise. It loses points only on minor verbosity and the absence of explicit validation checkpoints in the workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense and mostly domain-specific expertise (LIPID MAPS categories, m/z 184 head-group fragments, KEGG pathway IDs), with only minor explanatory padding in the 'Reasoning Strategy' paragraph that could be trimmed; not a 5 because a few sentences restate general biological context. | 4 / 5 |
Actionability | Provides concrete tool calls with parameters (e.g. LipidMaps_search_by_name(query="ceramide"), kegg_search_pathway(keyword="sphingolipid")), a KEGG pathway table with IDs/enzymes, and an executable Python enrichment snippet; minor gaps (illustrative, unvalidated return shapes) keep it just below 5. | 4 / 5 |
Workflow Clarity | A clearly sequenced Phase 0–4 pipeline with explicit verification guidance ('LOOK UP DON'T GUESS', 'Always verify via HMDB or CTD rather than relying on memory'); not a 5 because there are no explicit validate→fix→retry checkpoints, though this analysis (not destructive/batch) workflow does not trigger the 3-cap. | 4 / 5 |
Progressive Disclosure | Well-organized into clearly headed sections (Reasoning Strategy, When to Use, Core Tools, Workflow phases, Limitations) with no nested references; with no bundle files present the single ~170-line file is appropriately structured, though the pathway table and enrichment code could potentially be externalized. | 4 / 5 |
Total | 16 / 20 Passed |