Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A highly actionable, well-sequenced skill body with strong workflow checkpoints and progressive disclosure to a real references file. It loses points on conciseness (verbosity and repetition) and on a single broken reference to a missing evals/ directory.
Suggestions
Trim repeated emphases and parenthetical asides (e.g. the "name-level guess" caution and GLP-1/DPP4 detail appear multiple times); move worked-detail that already lives in references/phases.md out of SKILL.md.
Either add the evals/ directory with evals.json or remove/soften the reference to it so all navigation paths resolve.
Consolidate the target-class list (GPCR, ion channel, protease, cytokine/growth-factor receptor, enzyme, integrin) into one place rather than restating the classification across several sections.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and largely assumes Claude's intelligence, but it is verbose: heavy parentheticals, repeated emphases, and the GLP-1/name-level-guess caution restated several times, with detail that the references file already covers. | 2 / 3 |
Actionability | Fully executable, copy-paste-ready bash commands for both scripts with every flag explained, plus a validated control invocation with the exact sequence and expected output. | 3 / 3 |
Workflow Clarity | A clear six-phase sequence with a phase→tools table, explicit Phase-0 tool verification with fallback substitution, and a co-fold dry-run feedback loop before committing GPU spend. | 3 / 3 |
Progressive Disclosure | SKILL.md is a clean overview pointing one level deep to references/phases.md and the scripts, but the body references evals/evals.json which is not present in the bundle, a navigation path that does not resolve. | 2 / 3 |
Total | 10 / 12 Passed |