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Agent skill

Tooluniverse Adverse Event Detection

by wu-yc in wu-yc/LabClaw

Detect and analyze adverse drug event signals using FDA FAERS data, drug labels, disproportionality analysis (PRR, ROR, IC), and biomedical evidence.

No licenceAuto-check passedResearch & Science

Install Tooluniverse Adverse Event Detection

skills CLI
$ npx skills add wu-yc/LabClaw --skill tooluniverse-adverse-event-detection -a claude-code

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

GitHub CLI
$ gh skill install wu-yc/LabClaw tooluniverse-adverse-event-detection --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/wu-yc/LabClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/pharma/tooluniverse-adverse-event-detection .claude/skills/tooluniverse-adverse-event-detection && 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
tooluniverse-adverse-event-detection
GitHub stars
1.1k
Used in
2 other repos
Token cost
~11k tokens
SKILL.md length
1,816 words
Files
1
Skills in repo
68
Repo updated
First seen
Licence
None found

At a glance

Detect and analyze adverse drug event signals using FDA FAERS data, drug labels, disproportionality analysis (PRR, ROR, IC), and biomedical evidence.

  • Works in 10 steps: Input Parsing & Drug Disambiguation → FAERS Adverse Event Profiling → Disproportionality Analysis (Signal… → …
  • Post-market surveillance
  • SKILL.md covers When to Use, Workflow Overview, Phase 0: Input Parsing & Drug… and Phase 1: FAERS Adverse Event…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tooluniverse Adverse Event Detection is an agent skill from wu-yc/LabClaw. Detect and analyze adverse drug event signals using FDA FAERS data, drug labels, disproportionality analysis (PRR, ROR, IC), and biomedical evidence. Generates quantitative safety signal scores (0-100) with evidence grading. Use for post-market surveillance, pharmacovigilance, drug safety assessment, adverse event investigation, and regulatory decision support.

Its SKILL.md is about 11k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: LabClaw – Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists).

When your agent uses it

  • Post-market surveillance
  • Pharmacovigilance
  • Drug safety assessment
  • Adverse event investigation

Example prompts

  • “/tooluniverse-adverse-event-detection”

Requirements

  • Python 3

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Input Parsing & Drug Disambiguation
  2. FAERS Adverse Event Profiling
  3. Disproportionality Analysis (Signal Detection)
  4. FDA Label Safety Information
  5. Mechanism-Based Adverse Event Context
  6. Comparative Safety Analysis
  7. Drug-Drug Interactions & Risk Factors
  8. Literature Evidence
  9. Risk Assessment & Safety Signal Score
  10. Report Synthesis & Recommendations

What it can do on your machine

Read from SKILL.md and the folder at commit df37802. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python and markdown).

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

  • Network

    No URLs in SKILL.md.

    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

Tooluniverse Adverse Event Detection loads about 11k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 1,816 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~11k

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 1,816 words (~10,823 tokens).

“Automated pipeline for detecting, quantifying, and contextualizing adverse drug event signals using FAERS disproportionality analysis, FDA label mining, mechanism-based prediction, and literature evidence. Produces a quantitative Safety Signal Score (0-100) for regulatory and clinical decision-making.”

— opening of SKILL.md by wu-yc
name
tooluniverse-adverse-event-detection

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/pharma/tooluniverse-adverse-event-detection of wu-yc/LabClaw.

Open the folder on GitHubat commit df37802

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in wu-yc/LabClaw, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Tooluniverse Adverse Event Detection 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.

Tooluniverse Adverse Event Detection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tooluniverse Adverse Event Detection this skillwu-yc/LabClaw1.1k2 repos~11kAutomated safety check: PassNone
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GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Categories

Questions about Tooluniverse Adverse Event Detection

What does Tooluniverse Adverse Event Detection do?

Detect and analyze adverse drug event signals using FDA FAERS data, drug labels, disproportionality analysis (PRR, ROR, IC), and biomedical evidence. Tooluniverse Adverse Event Detection is an agent skill from wu-yc/LabClaw. Detect and analyze adverse drug event signals using FDA FAERS data, drug labels, disproportionality analysis (PRR, ROR, IC), and biomedical evidence.

When should I use Tooluniverse Adverse Event Detection?

Tooluniverse Adverse Event Detection fits situations like: post-market surveillance; pharmacovigilance; drug safety assessment; adverse event investigation.

How do I install Tooluniverse Adverse Event Detection in Claude Code?

Run `npx skills add wu-yc/LabClaw --skill tooluniverse-adverse-event-detection -a claude-code`. Or copy the skill folder (skills/pharma/tooluniverse-adverse-event-detection in wu-yc/LabClaw) into .claude/skills/tooluniverse-adverse-event-detection in your project. Claude Code loads it when a task matches its description.

How do I install Tooluniverse Adverse Event Detection in Codex?

Run `npx skills add wu-yc/LabClaw --skill tooluniverse-adverse-event-detection -a codex`. Or copy the skill folder (skills/pharma/tooluniverse-adverse-event-detection in wu-yc/LabClaw) into .agents/skills/tooluniverse-adverse-event-detection in your project. Codex loads it when a task matches its description.

Can I use Tooluniverse Adverse Event Detection 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 wu-yc/LabClaw --skill tooluniverse-adverse-event-detection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tooluniverse-adverse-event-detection, .gemini/skills/tooluniverse-adverse-event-detection, .github/skills/tooluniverse-adverse-event-detection and .opencode/skills/tooluniverse-adverse-event-detection in your project.

What does Tooluniverse Adverse Event Detection need to run?

SKILL.md names no scripts, command-line tools or credentials: Tooluniverse Adverse Event Detection is instructions for the agent only. Our summary lists: Python 3.

Does Tooluniverse Adverse Event Detection access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tooluniverse Adverse Event Detection 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 Tooluniverse Adverse Event Detection use?

No licence was found for Tooluniverse Adverse Event Detection or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Tooluniverse Adverse Event Detection use?

About 11k tokens (SKILL.md is roughly 43k 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 Tooluniverse Adverse Event Detection?

Skills that share tags, products or a category with Tooluniverse Adverse Event Detection: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tooluniverse Adverse Event Detection?

wu-yc (a GitHub user) maintains it in wu-yc/LabClaw, which has 1,055 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on March 19, 2026.

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