Content
85%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.
The body is highly actionable — exact tool names, identifier conventions, and executable code with worked examples — and its multi-step workflows include explicit validation checkpoints and error-recovery loops. Its weaknesses are inlined content that should live in separate reference files (especially the computational-procedures code) and some repeated warning phrasing that inflates the token budget without adding information.
Suggestions
Move the computational-procedures section (ORF counting, restriction digest, genetics segregation code blocks, ~75 lines) into a references/ file (e.g. references/computational-recipes.md) and keep only a one-line pointer plus the 'compute, never estimate' rule in SKILL.md.
State each key warning once: the single-strand ORF rule appears three times ('Do not "helpfully" add the reverse complement', 'resist it', 'do not let it override') and the match-back-to-options rule appears twice — consolidate to one authoritative statement per rule.
Consider splitting the MSigDB set-name conventions and the DisGeNet/OMIM differential recipe into a short routing reference so SKILL.md reads as an overview with one-level-deep pointers.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The routing table, set-name conventions, and code blocks are dense and high-value with no tutorial filler, but the body repeats its key warnings: the single-strand ORF rule appears three times ("Do not 'helpfully' add the reverse complement", "resist it", "do not let it override"), and "match the computed value back to the options" appears in both the computational-procedures section and the Interpretation section. Fits anchor 4 ('minor instances of over-explanation that could be trimmed'); not anchor 3 because the redundancy is brief and most tokens earn their place. | 4 / 5 |
Actionability | Fully executable guidance throughout: exact tool names and parameters (`MSigDB_check_gene_in_set`, `disease=C0152200`, `e1=@GENE_<sym>`), exact set-name conventions (`MIR186_3P`, `PGM3_TARGET_GENES`), and three copy-paste-ready, complete Python functions (count_orfs, digest, gamete_ratio) with worked examples (`{'AA':1,'Aa':4,'aa':1}`). Matches anchor 5; the common cases are covered with concrete code and specific commands. | 5 / 5 |
Workflow Clarity | The MCQ procedure is a clear 5-step sequence (Parse → Resolve → Query → Check → Answer) with an explicit guard ("Only choose 'Insufficient information' if the tool genuinely returns nothing"), the differential DisGeNet/OMIM recipe is a 6-step numbered workflow with an elimination step, and the Interpretation section provides feedback loops ("If a tool errors on a name, re-derive the name... before concluding 'insufficient'"). Matches anchor 5's explicit checkpoints and error-recovery loops; this is tool querying, not destructive/batch work, so no cap applies. | 5 / 5 |
Progressive Disclosure | There is no bundle (no references/, scripts/, assets/) and no external pointers — the entire 163-line operational manual is inlined in SKILL.md. Sections are well-organized with clear headers, but ~75 lines of computational procedures (ORF counting, restriction digests, genetics segregation, three full code blocks) are a distinct concern from the ToolUniverse routing and clearly belong in a separate reference file. This matches anchor 3 ('content that should be separate is inline'); it is not anchor 2 since structure and navigation within the file are good, and not anchor 4 because the split into references is more than a minor organization gap at this length. | 3 / 5 |
Total | 17 / 20 Passed |