Agent skill

Openfda Human Drug

by QSong-github in QSong-github/DrugClaw

Query FDA drug labeling data via openFDA. An agent skill from QSong-github/DrugClaw.

No licenceAuto-check passed

Install Openfda Human Drug

skills CLI
$ npx skills add QSong-github/DrugClaw --skill openfda-human-drug -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install QSong-github/DrugClaw openfda-human-drug --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/QSong-github/DrugClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/drug_labeling/openfda .claude/skills/openfda-human-drug && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
openfda-human-drug
GitHub stars
116
Used in
1 other repo
Token cost
~465 tokens
SKILL.md length
156 words
Files
6
Skills in repo
31
Repo updated
First seen
Licence
None found

At a glance

Query FDA drug labeling data via openFDA. An agent skill from QSong-github/DrugClaw.

  • The user asks about drug prescribing information — indications
  • SKILL.md covers Input → Detection, API, Usage and Notes
  • Runs Python scripts from its folder; reaches api.fda.gov
  • Adverse reactions

What it does

Openfda Human Drug is an agent skill from QSong-github/DrugClaw. Query FDA drug labeling data via openFDA. Use whenever the user asks about drug prescribing information — indications, warnings, dosage, adverse reactions, contraindications, or administration routes. Supports single or batch lookup by brand/generic name or by indication/condition.

Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `README.md`, `__init__.py` and `example.py`).

The repository describes itself as: 🦀 Agentic RAG for drug intelligence · 57 skills · 15 task categories · DTI · ADR · DDI · PGx · Repurposing · Powered by LangGraph.

When your agent uses it

  • The user asks about drug prescribing information — indications
  • Adverse reactions
  • Contraindications
  • Administration routes

Example prompts

  • “/openfda-human-drug”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit bc7b93e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.fda.gov

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Openfda Human Drug loads about 465 tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 156 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~465

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 156 words (~465 tokens).

“Query structured SPL (Structured Product Labeling) data from the FDA. No API key needed (≤1 000 req/day).”

— opening of SKILL.md by QSong-github
name
openfda-human-drug

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files in skills/drug_labeling/openfda of QSong-github/DrugClaw.

  • SKILL.md
  • README.md
  • __init__.py
  • example.py
  • openfda_skill.py
  • retrieve.py

Open the folder on GitHubat commit bc7b93e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in QSong-github/DrugClaw, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Openfda Human Drug next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Openfda Human Drug compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Openfda Human Drug this skillQSong-github/DrugClaw1161 repos~465Automated safety check: PassNone
Querying Openfda Labelsmaziyarpanahi/openmed5.5k—~1.9kAutomated safety check: PassApache-2.0
Drug Labels Searchwu-yc/LabClaw1.1k2 repos~1.2kAutomated safety check: PassMIT
openFDA Regulatory Data Queriesdavila7/claude-code-templates32k11 repos~3.6kAutomated safety check: PassMIT
Form Labelsthedaviddias/Front-End-Checklist74k—~565Automated safety check: PassMIT
Agentic Labelerdotnet/maui23k—~3.5kAutomated safety check: PassMIT

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  • Querying Openfda Labels

    maziyarpanahi/openmed

    Looks up FDA drug labels, NDC directory entries, indications, boxed warnings, and recalls/enforcement actions via the free public OpenFDA API to enrich drugs that OpenMed extracts.

    5.5k GitHub stars~1.9k tokensUpdated today
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  • Drug Labels Search

    wu-yc/LabClaw

    Search FDA drug labels with natural language queries. An agent skill from wu-yc/LabClaw.

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  • openFDA Regulatory Data Queries

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    Queries the openFDA API from Python for drug, device, food and veterinary data: adverse events, recalls, labels, approvals, NDC and UNII lookups.

    32k GitHub starsUsed in 11 repos~3.6k tokens
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  • Form Labels

    thedaviddias/Front-End-Checklist

    A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Associate labels with form controls.

    74k GitHub stars~565 tokensUpdated 3 days ago
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  • Agentic Labeler

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  • Drugcentral Query

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  • Drugmechdb Query

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  • Fda Orange Book Query

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Questions about Openfda Human Drug

What does Openfda Human Drug do?

Query FDA drug labeling data via openFDA. An agent skill from QSong-github/DrugClaw. Openfda Human Drug is an agent skill from QSong-github/DrugClaw. Query FDA drug labeling data via openFDA.

When should I use Openfda Human Drug?

Openfda Human Drug fits situations like: the user asks about drug prescribing information — indications; adverse reactions; contraindications; administration routes.

How do I install Openfda Human Drug in Claude Code?

Run `npx skills add QSong-github/DrugClaw --skill openfda-human-drug -a claude-code`. Or copy the skill folder (skills/drug_labeling/openfda in QSong-github/DrugClaw) into .claude/skills/openfda-human-drug in your project. Claude Code loads it when a task matches its description.

How do I install Openfda Human Drug in Codex?

Run `npx skills add QSong-github/DrugClaw --skill openfda-human-drug -a codex`. Or copy the skill folder (skills/drug_labeling/openfda in QSong-github/DrugClaw) into .agents/skills/openfda-human-drug in your project. Codex loads it when a task matches its description.

Can I use Openfda Human Drug in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add QSong-github/DrugClaw --skill openfda-human-drug -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openfda-human-drug, .gemini/skills/openfda-human-drug, .github/skills/openfda-human-drug and .opencode/skills/openfda-human-drug in your project.

What does Openfda Human Drug need to run?

Going by SKILL.md and its folder, Openfda Human Drug needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Openfda Human Drug access the network?

SKILL.md names 1 domain. In commands or code: api.fda.gov; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Openfda Human Drug safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Openfda Human Drug use?

No licence was found for Openfda Human Drug or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Openfda Human Drug use?

About 465 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Openfda Human Drug?

Skills that share tags, products or a category with Openfda Human Drug: Querying Openfda Labels (maziyarpanahi/openmed, 5.5k stars), Drug Labels Search (wu-yc/LabClaw, 1.1k stars), openFDA Regulatory Data Queries (davila7/claude-code-templates, 32k stars) and Form Labels (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Openfda Human Drug?

QSong-github (a GitHub user) maintains it in QSong-github/DrugClaw, which has 116 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on August 25, 2026.

Source: QSong-github/DrugClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.