Agent skill

pharmacovigilance-guide

Adverse drug event detection, safety signal mining, and drug monitoring

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill pharmacovigilance-guide --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/43-wentorai-research-plugins/skills/domains/pharma/pharmacovigilance-guide/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Pharmacovigilance Guide A skill for computational pharmacovigilance research, covering adverse drug event (ADE) databases, signal detection algorithms, disproportionality analysis, and safety surveillance methods used in post-market drug monitoring. ## Adverse Event Data Sources ### Key Databases | Database | Operator | Coverage | Access | |----------|----------|----------|--------| | FAERS (FDA Adverse Event Reporting System) | FDA | US spontaneous reports | Free quarterly downloads | | EudraVigilance | EMA | European reports | Research access via application | | VigiBase | WHO-UMC | Global (150+ countries) | Research license | | VAERS | CDC/FDA | US vaccine adverse events | Free download | | MAUDE | FDA | Medical device reports | Free download | ### Loading FAERS Data ```python import pandas as pd import zipfile import os def load_faers_quarter(data_dir: str, year: int, quarter: int) -> dict: """ Load FAERS quarterly data files into DataFrames. Downloads available from: fis.fda.gov/extensions/FPD-QDE-FAERS/FPD-QDE-FAERS.html Returns dict of DataFrames for each file type. """ prefix = f"faers_ascii_{year}Q{quarter}" tables = {} file_map = { "DEMO": "demographics", # Patient demo

What's inside
Steps it walks through
  1. Adverse Event Data Sources
  2. Key Databases
  3. Loading FAERS Data
  4. Signal Detection Methods
  5. Disproportionality Analysis
  6. Multi-Item Gamma Poisson Shrinker (MGPS)
  7. MedDRA Terminology
  8. Medical Dictionary for Regulatory Activities
  9. Standardized MedDRA Queries (SMQs)
  10. Temporal Pattern Analysis
  11. Time-to-Onset Analysis
  12. Causality Assessment
  13. Tools and Resources
More from Auto-Empirical-Research-Skills
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About this skill
What does the pharmacovigilance-guide skill do?

Adverse drug event detection, safety signal mining, and drug monitoring

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill pharmacovigilance-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going