Content
86%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 strong, well-architected skill body: fully executable examples with correct column names and library names, a clearly sequenced 8-step workflow with real checkpoints, and exemplary progressive disclosure into three real, accurately-described reference files plus a working helper script. The gaps are minor: method-choice guidance is repeated across three sections, the citation block is long, and error-recovery guidance lives in a pitfalls list rather than as an in-workflow feedback loop.
Suggestions
State the ORA-vs-GSEA decision rule once (e.g., in 'Choosing the Right Method') and have the Overview and Common Pitfalls reference it instead of restating it, trimming 3-5 lines of repetition.
Add an explicit recovery checkpoint in the Core Workflow (e.g., 'if nothing is significant: verify ID mapping succeeded and check the background universe' with a concrete check such as counting matched genes), turning the scattered pitfalls into a feedback loop.
Condense the 'Citing' section to the citation plus a one-line version/fetch instruction — the current 15 lines spend body budget on an ancillary concern.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense, expert-assuming, and mostly earns its tokens — it never explains what GSEA or Fisher's test is at textbook length, and comments carry real judgment ("seed = reproducible p-values", "more stable than ranking by log2FoldChange"). It is not 5: the ORA-vs-GSEA choice is stated three times (Overview bullet, the table's closing rule "a thresholded list → ORA; a ranked table → GSEA", and Pitfall #3), and the 15-line 'Citing' section plus the Setup/library-verification snippet are trimmable. It is clearly above 3: there is no padded conceptual explanation of things Claude already knows. | 4 / 5 |
Actionability | Both Quick Start examples are fully executable copy-paste code with real gseapy calls, real result columns ("Adjusted P-value", "FDR q-val", "Lead_genes"), and real library names; the Helper Script section gives three concrete CLI invocations, and Setup gives the exact install command plus a runnable library-name check. This matches anchor 5's 'fully executable; copy-paste ready code or commands; specific examples cover the common cases' — it even covers the fallback rank construction 'sign(log2FoldChange) * -log10(pvalue)'. Not 4: there is no missing key detail in the main paths. | 5 / 5 |
Workflow Clarity | The 8-step Core Workflow is clearly sequenced with explicit checkpoints (Step 2 flags 'A silent ID mismatch is the #1 cause of nothing is significant', Step 6 mandates adjusted p-values plus an overlap-count sanity check, and Setup verifies library names before use), matching anchor 4's 'clear sequence with most checkpoints present; minor validation gaps'. It is not 5: there is no explicit validate→fix→retry feedback loop (e.g., what to check and re-run when results come back empty) — recovery guidance is scattered across Common Pitfalls rather than wired into the workflow — and it is not 3 because checkpoints are explicit, not merely implied. | 4 / 5 |
Progressive Disclosure | The body is a genuine overview: decision table, quick starts, an 8-step workflow, pitfalls, and a script — with depth correctly pushed to three one-level-deep reference files, each verified to exist and each introduced with an accurate content summary in the 'Reference Files' section. This matches anchor 5's 'clear overview with well-signaled one-level-deep references; content appropriately split; easy navigation'; no reference chains into further nested references and no API-reference wall is inlined. | 5 / 5 |
Total | 18 / 20 Passed |