ToolUniverse is a collection of tools, interfaces, and supporting components for building AI systems that perform scientific work. It is for developers creating AI scientist agents that use APIs, databases, machine-learning tools, and domain-specific utilities. The catalogue includes skills, commands, an MCP server, an agent, and a hook for working with the ecosystem.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add mims-harvard/ToolUniverse --skill tooluniverse-clinical-risk-scoringgit clone --depth 1 https://github.com/mims-harvard/ToolUniverseWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-clinical-risk-scoring)<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-clinical-risk-scoring"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-clinical-risk-scoring/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-clinical-risk-scoring"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-clinical-risk-scoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00318 | $0.03689 |
| Opus 5 | $0.00159 | $0.01844 |
| Sonnet 5 | $0.00064 | $0.00738 |
| Haiku 4.5 | $0.00032 | $0.00369 |
Grade A, and why
tooluniverse-clinical-risk-scoring scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clinical Risk Scoring
Turn a clinical scenario into the right validated risk score, compute it with a deterministic calculator tool, and interpret the number into a clinical action. All 10 backing tools are pure-compute (no network, no API key) and return {status, data:{score, interpretation, components, ...}}.
This skill is decision-support only — see LIMITATIONS. It does not replace clinical judgment.
Step 1 — Map the scenario to the score(s)
| Clinical scenario | Score(s) | Tool(s) |
|---|---|---|
| Atrial fibrillation — stroke risk / anticoagulate? | CHA2DS2-VASc and HAS-BLED (pair) | ClinicalCalc_CHA2DS2_VASc + ClinicalCalc_HAS_BLED |
| Community-acquired pneumonia — severity / admit? | CURB-65 | ClinicalCalc_CURB_65 |
| Suspected sepsis (infection + ? deterioration) | qSOFA | ClinicalCalc_qSOFA |
| Cirrhosis / chronic liver disease severity | Child-Pugh and MELD-Na (pair) | ClinicalCalc_Child_Pugh + ClinicalCalc_MELD_Na |
| Suspected DVT — pretest probability | Wells DVT | ClinicalCalc_Wells_DVT |
| Suspected PE — pretest probability | Wells PE | ClinicalCalc_Wells_PE |
| Primary CVD prevention — 10-yr risk / statin? | ASCVD | ClinicalCalc_ASCVD_risk |
| Kidney function / renal drug dosing / CKD stage | eGFR CKD-EPI | ClinicalCalc_eGFR_CKD_EPI |
When the scenario names a pair, always run both — one alone is misleading (e.g. stroke risk without bleeding risk, or Child-Pugh without MELD-Na).
Step 2 — Gather the required inputs
Required vs optional inputs per tool (omitted booleans default to false/absent; omitted scalars are rejected when required):
| Tool | Required | Key optional booleans/values |
|---|---|---|
ClinicalCalc_CHA2DS2_VASc |
age |
chf, hypertension, diabetes, stroke_history(2pt), vascular_disease, female |
ClinicalCalc_HAS_BLED |
age |
hypertension, renal_disease, liver_disease, stroke_history, bleeding_history, labile_inr, drugs, alcohol |
ClinicalCalc_CURB_65 |
age |
confusion, elevated_urea(BUN>19), high_resp_rate(>=30), low_bp |
ClinicalCalc_qSOFA |
(none) | high_resp_rate(>=22), altered_mentation, low_sbp(<=100) |
ClinicalCalc_Child_Pugh |
bilirubin, albumin, inr |
ascites(none/mild/moderate), encephalopathy(none/grade1-2/grade3-4) |
ClinicalCalc_MELD_Na |
creatinine, bilirubin, inr, sodium |
dialysis (forces creatinine to 4.0) |
ClinicalCalc_Wells_DVT |
(none) | active_cancer, immobilization, recent_surgery, localized_tenderness, leg_swollen, calf_swelling, pitting_edema, collateral_veins, previous_dvt, alternative_diagnosis(-2) |
ClinicalCalc_Wells_PE |
(none) | clinical_dvt(3), pe_most_likely(3), tachycardia(1.5), immobilization(1.5), previous_vte(1.5), hemoptysis(1), malignancy(1) |
ClinicalCalc_ASCVD_risk |
age(40-79), total_cholesterol, hdl_cholesterol, systolic_bp |
bp_treated, smoker, diabetes, female, race("white"/"black") |
ClinicalCalc_eGFR_CKD_EPI |
creatinine, age |
female |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 183 lines · 318 tokens per session scan A 86fe30ed7b92
tooluniverse-clinical-risk-scoring is a skill published in the GitHub repository mims-harvard/ToolUniverse (1,680 stars, last pushed 3d ago), licensed Apache-2.0. It adds 318 tokens to every session and 3,689 once invoked, about $0.0016 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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