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tooluniverse-pharmacokinetics

Pharmacokinetic (PK) analysis of concentration-time data — non-compartmental analysis (NCA) for Cmax, Tmax, AUC (0-t and 0-∞), terminal half-life, clearance (CL), volume of distribution (Vd), MRT, and absolute bioavailability (F). Also one-compartment fitting. Use when you have plasma/serum drug concentrations over time after a dose and need PK parameters, or to compute bioavailability from IV + oral AUCs. NOT for ADMET property prediction from structure (use tooluniverse-admet-prediction).

76

Quality

94%

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SKILL.md
Quality
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Quality

Content

96%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 tight, executable PK NCA workflow with copy-paste-ready commands, explicit quality/validation thresholds, and a clean sectioned structure backed by one real bundle script. The only gap is slightly less explicit navigation to the bundled script.

DimensionReasoningScore

Conciseness

Lean and efficient throughout — no padded concept explanations, every table and step earns its place, and it assumes Claude's competence (e.g. it states thresholds and formulas without re-explaining basic PK).

5 / 5

Actionability

Fully executable, copy-paste-ready `tu run NCA_compute_parameters` and `NCA_calculate_bioavailability` commands with realistic JSON payloads, plus concrete formulas and numeric thresholds, covering the common IV/oral cases.

5 / 5

Workflow Clarity

A clear 5-step sequence (Prepare → Run → Interpret → Bioavailability → Quality gotchas) with explicit validation checkpoints and feedback loops: extrapolation >20% → report AUC0-last, r_squared <0.9 or <3 tail points → half-life unreliable, and oral data flagged as apparent CL/F.

5 / 5

Progressive Disclosure

Well-organized sections with one referenced bundle file (`scripts/nca_from_csv.py`, confirmed present) pointed to at the right moment and no nested references; it falls just short of 5 because the script reference is mentioned inline rather than gathered into a clearly signaled navigation/pointer block.

4 / 5

Total

19

/

20

Passed

Description

92%Weight 40%Scale 1-5

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 strong, specific description that names concrete PK parameters and capabilities, gives explicit use-when trigger guidance, and disambiguates from a sibling ADMET skill via a clear negative boundary. Only minor keyword-synonym coverage is missing.

DimensionReasoningScore

Specificity

Lists many concrete parameters — Cmax, Tmax, AUC (0-t and 0-∞), terminal half-life, clearance (CL), volume of distribution (Vd), MRT, absolute bioavailability (F) — plus one-compartment fitting, giving comprehensive concrete coverage rather than just 1-2 actions.

5 / 5

Completeness

Explicitly answers both what (NCA parameters, one-compartment fitting, bioavailability) and when ('Use when you have plasma/serum drug concentrations over time after a dose and need PK parameters, or to compute bioavailability from IV + oral AUCs') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Strong natural phrases a user would say — 'plasma/serum drug concentrations over time after a dose', 'PK parameters', 'bioavailability from IV + oral AUCs' — but lacks some common synonyms/extensions (e.g. explicit 'pharmacokinetics over time', file formats), keeping it just below the comprehensive anchor.

4 / 5

Distinctiveness Conflict Risk

Clear niche of measured-data PK/NCA with an explicit negative boundary ('NOT for ADMET property prediction from structure (use tooluniverse-admet-prediction)'), minimizing conflict with the related ADMET skill.

5 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
mims-harvard/ToolUniverse
Reviewed

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