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.
The body is highly actionable — executable scripts, a validated control with expected output, evidence tiers, and a well-signaled one-level manual reference — with a clearly sequenced six-phase workflow gated by a Phase-0 verify and a key-gated dry run. Its weaknesses are repetition of the validation/control material, an inline supplementary database section peripheral to the core pipeline, and a reference to an evals/evals.json file that is not present in the bundle.
Suggestions
State the exendin-4 control result once (e.g., in the Validation section) and have the script section point to it, and drop the duplicated 'name-level guess' sentence from one of its two locations.
Ship the referenced evals/evals.json in the bundle (or remove the reference) so the stated verification checkpoint — 'verify the output against that eval's assertions' — is actually executable.
Move the 'Peptide Bioactivity Property Databases' table and its verified-live-behavior notes into a short reference file (e.g., references/property_dbs.md), keeping only a one-line pointer and the 'query the one you need' guidance in SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and mostly non-redundant domain knowledge (DPP4 liability, interface divergence, non-canonical residue flags), but it repeats material: the exendin-4 validation result is stated in full twice (script section and Validation section), and "A name-level guess ('it's a GLP-1 analog so it's GLP1R') is exactly what produces off-target errors" appears verbatim twice. The ~19-line 'Peptide Bioactivity Property Databases' section is admitted to be peripheral ('None of them tell you what a peptide's target is') and could be trimmed or offloaded. This fits anchor 3 ('includes some unnecessary explanation or could be tightened') better than 4, where over-explanation would be only minor. | 3 / 5 |
Actionability | Two copy-paste-ready script invocations with every flag documented inline ("--sequence <PEPTIDE_SEQ> ... --hypothesized-target <GENE> ... --phenotype '<disease name>'"), concrete mode examples ("--hypothesized-target GLP1R", "--assay-species mus_musculus"), and a fully validated control run with the exact input sequence and its checkable expected output (class-B panel, GIPR Tier 1 score 0.674). This matches anchor 5 — executable commands covering the common cases with specific examples. | 5 / 5 |
Workflow Clarity | The six phases are clearly sequenced in a table with per-phase tools and a core intersection rule, and checkpoints exist: Phase 0 'Verify: confirm every tool loads; substitute fallbacks', a DRY RUN gate before key-gated GPU spend, and fallback behavior ('degrades to phenotype-only if that resolver is transiently down'). It falls short of anchor 5 because the stated verification hook — 'verify the output against that eval's assertions' in evals/evals.json — points to a file that is absent from the bundle, leaving that checkpoint non-executable, and the batch mode gets no per-record validation guidance. | 4 / 5 |
Progressive Disclosure | Good structure: the body is an overview with scripts as the fast path, and the deep material is a single, clearly signaled, one-level reference (references/phases.md, present in the bundle, with explicit when-to-read guidance: 'Read it when a script step fails, when you want to drive a phase manually, or when you extend the pipeline'). The gaps keeping it from anchor 5 are the dangling evals/evals.json reference and the inline 7-database supplementary table (with verified-live-behavior notes) that would sit more naturally in its own reference file — minor organization gaps consistent with anchor 4. | 4 / 5 |
Total | 16 / 20 Passed |