Content
53%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 well-organized reference-style skill that shines at database facts and honest capability boundaries (no public API, licensing requirements), with clear numbered workflows. It is weakened by descriptive rather than executable guidance — only one install command and no worked code examples — plus generic best-practice padding.
Suggestions
Add a short executable example using the hmdbQuery R package (or XML parsing of a downloaded dataset) so at least one programmatic path is copy-paste ready.
Trim the generic "Best Practices" section (citation, version-tracking, caching advice) to the few points that are HMDB-specific.
Move the detailed field lists from the body into `references/hmdb_data_fields.md` and reference it earlier with a clearer callout.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Most content is HMDB-specific facts Claude cannot know (entry counts, formats, contacts), which earns its place. However, generic best-practice filler ("Check experimental vs. predicted data quality indicators", "Consider local caching", "Always cite HMDB in publications") and a long recitation of database contents could be trimmed. Anti-drift check: anchor 2's "several unnecessary explanations or padded sections" is too harsh; anchor 4's "minor instances" understates the padding present. | 3 / 5 |
Actionability | There is some concrete guidance — the download URL, the `BiocManager::install("hmdbQuery")` command, contact emails, file format recommendations — but most of the body describes capabilities rather than instructs, and workflows lack executable specifics (e.g., a worked hmdbQuery example or URL query patterns). This matches the anchor for "some concrete guidance but incomplete; missing key details". | 3 / 5 |
Workflow Clarity | Four workflows (identification, biomarker discovery, pathway analysis, database integration) are clearly numbered and logically ordered, and workflow 1 includes a verification step ("Verify candidates by checking molecular weight, retention time, and MS-MS fragmentation"). But the other three lack validation checkpoints, and steps remain implicit rather than executable — fitting the anchor "sequence present but checkpoints missing or implicit". The destructive/batch cap does not apply since these are read-only research workflows. | 3 / 5 |
Progressive Disclosure | The body is a well-sectioned overview (capabilities, downloads, API access, workflows) and the one bundle file, `references/hmdb_data_fields.md`, exists and is referenced one level deep ("See references/hmdb_data_fields.md for detailed information about available data fields"). Scored against the actual bundle per the rubric guideline; not a 5 because the single reference is only mentioned once at the very end and detailed data-field material from the body could be consolidated there. | 4 / 5 |
Total | 13 / 20 Passed |