tooluniverse-computational-biophysics

Solve quantitative problems in biophysics — pharmacokinetics (PK volume of distribution, clearance, half-life), epidemiology (R0, attack rate), toxicology (LD50, NOAEL), population genetics (Hardy-Weinberg, Fst), enzyme kinetics (Michaelis-Menten), thermodynamics. Use for first-principles quantitative biology calculations, dose calculations, exposure assessment, and biophysical-property estimation.

Quality

83%

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Quality

Content

75%Weight 40%Scale 1-5

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-structured computational skill body with executable templates and verified bundled scripts. Its main weakness is conciseness — the multiple-choice strategy section leans on generic test-taking advice Claude already knows.

Suggestions

Trim Section 5's generic MC test-taking advice ('longest option is correct', 'all/none of the above ~25%') to the biophysics-specific process; Claude already knows standard MC heuristics.

Condense Section 2's reasoning-pattern prose into tighter one-line mappings from process signature to math structure to reduce token load.

Consider moving the per-script formula reference lists in Section 6 into a short references/ doc so SKILL.md stays a lean overview pointing one level deep.

Dimension	Reasoning	Score
Conciseness	Mostly efficient domain-specific content, but Section 5 (MC strategy) spends many lines on generic test-taking advice ('Read the stem twice', elimination heuristics, 'longest option is correct') that Claude already knows, and some reasoning-pattern prose could be tightened.	3 / 5
Actionability	Provides copy-paste-ready Python templates with real functions, a data-need→tool mapping table, and concrete script invocations with exact flags and arguments covering the common biophysics cases.	5 / 5
Workflow Clarity	A clear conceptual sequence (recognize process → pick reasoning pattern → decide compute/estimate/lookup → compute and verify) with explicit validation steps ('VERIFY: substitute your answer back', unit-cancellation checks) and a numbered MC checklist, but the top-level workflow is thematic rather than one unified validated checklist.	4 / 5
Progressive Disclosure	Eight well-headed sections with one-level-deep references to bundled scripts (all verified present in scripts/) that are clearly signaled with paths and per-script descriptions; the body is a fairly dense single-file overview with no separate reference docs for deeper material, a minor organization gap.	4 / 5
	Total	16 / 20 Passed

Description

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Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A highly specific, well-scoped description that names concrete capabilities and explicit use-conditions in third person. It answers both what and when clearly and is clearly distinguishable from other skills.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions across six named subdomains with their specific quantities ('PK volume of distribution, clearance, half-life', 'R0, attack rate', 'LD50, NOAEL', 'Hardy-Weinberg, Fst', 'Michaelis-Menten'), giving comprehensive coverage rather than generic verbs.	5 / 5
Completeness	Explicitly answers both 'what' ('Solve quantitative problems in biophysics — ...') and 'when' ('Use for first-principles quantitative biology calculations, dose calculations, exposure assessment, and biophysical-property estimation') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Strong natural-term coverage ('pharmacokinetics', 'dose calculations', 'exposure assessment', 'half-life', 'R0', 'LD50') with the PK synonym given, but a few lay synonyms (e.g. 'drug dosing', 'pharmacology') and common phrasings are absent, keeping it just below comprehensive.	4 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (quantitative biophysics computation) with named subdomains and specialized triggers, making conflict with unrelated skills minimal.	5 / 5
	Total	19 / 20 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: mims-harvard/ToolUniverse
Path: plugin/skills/tooluniverse-computational-biophysics/SKILL.md
Commit: 7fe234c

Reviewed: 3 days ago

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