tooluniverse-dose-response

Dose-response / concentration-response curve fitting — IC50, EC50, Hill slope, Emax/Emin efficacy, and relative potency from paired concentration vs response data (enzyme/cell assays, drug screening, agonist/antagonist pharmacology). Fits the 4-parameter logistic (Hill sigmoidal) model. Use when you have concentrations + responses and need a potency value, to compare two compounds' potency, or to judge curve quality. NOT for image-derived dose-response (use tooluniverse-image-analysis) and NOT for survival/regression (use tooluniverse-statistical-modeling).

Quality

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Quality

Content

100%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.

The body is lean, fully actionable, and well-structured: it gives an executable command and named tools up front, walks through prepare→fit→interpret→quality-check steps with explicit validation gating, and offloads only advanced needs to a verified bundle script. No verbosity, no missing checkpoints.

Dimension	Reasoning	Score
Conciseness	Lean and efficient — no padding or explanation of concepts Claude already knows; every line delivers domain-specific, actionable guidance (assay gotchas, the 4PL formula, parameter sanity checks), matching the score-5 anchor.	5 / 5
Actionability	Fully executable copy-paste-ready command with real arguments ('tu run DoseResponse_calculate_ic50 ...'), named alternative tools (DoseResponse_fit_curve, DoseResponse_compare_potency) with their inputs/outputs, and a real script for advanced needs — covering the common cases, matching the score-5 anchor.	5 / 5
Workflow Clarity	Clear Step 1–4 sequence with explicit validation checkpoints (r² ≥ 0.95 gating, ≥4-point coverage requirement, bracketing the inflection) and feedback loops for error recovery ('if it's at/beyond an endpoint, the curve is incomplete... recommend wider concentrations'), matching the score-5 anchor.	5 / 5
Progressive Disclosure	Well-organized overview with clearly signaled one-level-deep reference to a real bundle file ('scripts/fit_dose_response.py runs a scipy 4PL fit from a CSV and matches the tool') plus a Related skills section, giving easy navigation, matching the score-5 anchor.	5 / 5
	Total	20 / 20 Passed

Description

100%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.

The description is specific, comprehensive, and well-scoped: it enumerates concrete capabilities, uses natural trigger terms with synonyms, explicitly states when to use it, and draws clear negative boundaries against sibling skills. No vague fluff or over-claims.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'IC50, EC50, Hill slope, Emax/Emin efficacy, and relative potency' and 'Fits the 4-parameter logistic (Hill sigmoidal) model' — with comprehensive coverage, matching the score-5 anchor.	5 / 5
Completeness	Explicitly answers both what ('curve fitting — IC50, EC50, Hill slope...') and when ('Use when you have concentrations + responses and need a potency value, to compare two compounds' potency, or to judge curve quality'), matching the score-5 anchor with concrete trigger phrases.	5 / 5
Trigger Term Quality	Comprehensive natural-term coverage including synonyms — 'dose-response / concentration-response', 'IC50 / EC50', 'potency', 'enzyme/cell assays', 'drug screening', 'agonist/antagonist pharmacology' — the phrases a user would actually say.	5 / 5
Distinctiveness Conflict Risk	Clear niche with explicit negative boundaries — 'NOT for image-derived dose-response (use tooluniverse-image-analysis) and NOT for survival/regression (use tooluniverse-statistical-modeling)' — minimizing conflict risk, matching the score-5 anchor.	5 / 5
	Total	20 / 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-dose-response/SKILL.md
Commit: 1b02920

Reviewed: 1 day ago

Table of Contents

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