fda

fda is a skill for Claude Code, Codex from ai4protein/VenusFactory2. It costs 75 tokens per session (463 once invoked), scanned A, original, no licence file.

Access to openFDA, a US Food and Drug Administration database covering drugs, medical devices, safety events, recalls, and regulatory submissions.

In plain words
What is it for?
Use it for FDA pharmacovigilance, drug labelling, NDC or UNII lookups, recall data, and 510(k) or PMA submission queries.
Why use it?
It brings regulatory and safety information into one searchable source. This can help investigate adverse events, product labels, identifiers, recalls, and device approvals.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it for FDA pharmacovigilance, drug labelling, NDC or UNII lookups, recall data, and 510(k) or PMA submission queries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ai4protein/venusfactory2/fda
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 ai4protein/VenusFactory2 --skill fda
Clone the repo
git clone --depth 1 https://github.com/ai4protein/VenusFactory2

Made for: Claude Code, 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 fda

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai4protein/venusfactory2/fda/github.svg)](https://agentmods.dev/skills/ai4protein/venusfactory2/fda)
Your own site
<a href="https://agentmods.dev/skills/ai4protein/venusfactory2/fda"><img src="https://agentmods.dev/badge/skills/ai4protein/venusfactory2/fda/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 fda

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai4protein/venusfactory2/fda"><img src="https://agentmods.dev/badge/skills/ai4protein/venusfactory2/fda.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 463 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.
Origin unknown 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 $0.00075 $0.00463
Opus 5.5 $0.00030 $0.00185
Sonnet 5.5 $0.00015 $0.00093
Haiku 4.5 $0.00007 $0.00046

Measured 1mo ago against content hash ee5d82d9f547, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fda 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 1mo 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.

src/agent/skills/fda/SKILL.md · 48 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

7 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. 1mo ago First seen · 48 lines · 75 tokens per session scan A ee5d82d9f547

Subscribe to this mod's changes

fda is a skill published in the GitHub repository ai4protein/VenusFactory2 (255 stars, last pushed 1mo ago), with no licence file. It adds 75 tokens to every session and 463 once invoked, about $0.0003 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

benchling-integration

Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.

synthetic-sciences/openscience · 44 tokens

esm

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel…

synthetic-sciences/openscience · 86 tokens

fda-database

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

synthetic-sciences/openscience · 43 tokens

iflytek-contract-intelligence-review

A contract-review workflow for scanned or digital agreements. It can recognize document text, examine clauses, detect risks, check compliance, and create translation summaries; its output is for review and is not formal legal advice.

iflytek/iFly-Skills · 116 tokens

Database Access Skills Index

Skills for querying and downloading data from genomic, transcriptomic, 3D-genome, and cancer-genomics databases. Covers programmatic access to public repositories, gene annotation, sequence retrieval, processed functional-genomics tracks, Hi-C / Micro-C contact matrices, TCGA-style cohorts, and large-scale single-cell…

aristoteleo/PantheonOS · 73 tokens

Protein Structures — AlphaFold & PDB

Obtain and predict protein 3D structures — fetch AlphaFold predicted models from the AlphaFold DB, experimental structures from the RCSB PDB, or predict a novel sequence with ColabFold — and visualise them in the Mol desktop app.

aristoteleo/PantheonOS · 63 tokens