tooluniverse-nih-funding-landscape

tooluniverse-nih-funding-landscape is a skill for Codex from mims-harvard/ToolUniverse. It costs 133 tokens per session (5,378 once invoked), scanned A, original, Apache-2.0.

A research workflow for analyzing United States National Institutes of Health grant funding from 1985 onward and connecting grants to related scientific records.

In plain words
What is it for?
Use it to find grants, study funding trends, profile researchers or institutions, and connect funding to publications, clinical trials, patents, biological targets, or drugs.
Why use it?
It keeps funding analyses traceable by defining what is counted, how much data is covered, and what the results cannot show.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: positional $N argument.

Good fit Use it to find grants, study funding trends, profile researchers or institutions, and connect funding to publications, clinical trials, patents, biological targets, or drugs.

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Install with agentmods
npx agentmods add skills/mims-harvard/tooluniverse/tooluniverse-nih-funding-landscape
About the project

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.

mims-harvard/ToolUniverse · 1,680 stars · on GitHub · aiscientist.tools

Install

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.

Any agent
npx skills add mims-harvard/ToolUniverse --skill tooluniverse-nih-funding-landscape
Clone the repo
git clone --depth 1 https://github.com/mims-harvard/ToolUniverse

Made for: Codex.

Wrote 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.

agentmods badge for tooluniverse-nih-funding-landscape

README.md
[![agentmods](https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-nih-funding-landscape/github.svg)](https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-nih-funding-landscape)
Your own site
<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-nih-funding-landscape"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-nih-funding-landscape/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.

agentmods 80×15 button for tooluniverse-nih-funding-landscape

Your own site · 80×15
<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-nih-funding-landscape"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-nih-funding-landscape.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,378 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00133 $0.05378
Opus 5 $0.00067 $0.02689
Sonnet 5 $0.00027 $0.01076
Haiku 4.5 $0.00013 $0.00538

Measured 8d ago against content hash a5d41170d094, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tooluniverse-nih-funding-landscape 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 8d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/verify_live_cases.py, scripts/verify_live_contract.py, scripts/verify_output_links.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/tooluniverse-nih-funding-landscape/SKILL.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NIH Funding Landscape

Build source-traceable NIH funding analyses with explicit scopes, count units, data coverage, and interpretation limits. Use OpenNIH_* for funding facts and other ToolUniverse sources only for downstream evidence they actually cover.

Always read references/tool-reference.md before choosing tools or comparing totals. Read references/verified-cases.md when testing the skill, debugging an unexpected response, or adapting one of the verified case patterns. Read references/public-value-cases.md for a patient, family, advocate, journalist, trainee, applicant, taxpayer, policy, or other public-facing request.

Public Value Routing

Start from the reader's decision, not from the available endpoints:

Reader Optimize the answer for Never imply
Patient, family, advocate A topic-specific research map, recent activity, inspectable projects, and next contacts Clinical expertise, quality of care, treatment advice, or patient benefit from funding alone
Journalist, taxpayer, policy analyst A reproducible headline number, its definition, its largest drivers, and its sensitivity to alternate queries That the largest number is the truest, a partial year is final, or spending caused outcomes
Researcher, trainee, applicant Funded precedents, active mechanisms, institutions, and project language Application odds, reviewer preferences, mentorship quality, or K99-to-R00 conversion
Institution or translational team Resolved peer portfolios and exact identifiers for output follow-up Raw-name totals as one entity or grant-output chronology as causality
Local reporter or community A location-qualified portfolio joined through resolved institutions That an institution-name substring is a city/state geography query or that award location equals beneficiary location
Entrepreneur Topic-specific R41/R42/R43/R44 awards, companies, and phase-labeled project activity Commercial success, current company status, addressable market, or Phase I-to-II conversion from annual award rows

Read the full file on GitHub · 196 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 8d ago First seen · 196 lines · 133 tokens per session scan A a5d41170d094

Subscribe to this mod's changes

tooluniverse-nih-funding-landscape is a skill published in the GitHub repository mims-harvard/ToolUniverse (1,680 stars, last pushed 3d ago), licensed Apache-2.0. It adds 133 tokens to every session and 5,378 once invoked, about $0.0007 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 2026-09-03.

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