detecting-pv-signals SKILL.md skillA
detecting-pv-signals from maziyarpanahi/openmed is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add maziyarpanahi/openmed/detecting-pv-signals@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- maziyarpanahi/openmed
- Path
skills/detecting-pv-signals/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Jul 20, 2026
- Size
- 9,368 bytes
- Repository stars
- 5,784
- License
- Apache-2.0
Computes disproportionality signals — PRR, ROR, EBGM, and IC (BCPNN) — over FAERS / OpenFDA drug-event data to flag potential safety signals. Use when the user wants to mine spontaneous-report data for drug-reaction associations, build a 2x2 contingency table, compute a Proportional Reporting Ratio or Reporting Odds Ratio, run Empirical Bayes (EBGM/EB05) or Information Component shrinkage, or screen a drug for over-reported reactions. Trigger keywords: disproportionality, signal detection…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Detecting pharmacovigilance signals (disproportionality) Spontaneous-report databases like the FDA's **FAERS** are mined for **signals of disproportionate reporting (SDR)**: drug-reaction pairs that occur together *more than expected* given the background of all reports. The core device is a **2x2 contingency table** and a disproportionality metric computed from it — **PRR**, **ROR**, **EBGM**, or **IC (BCPNN)**. You can build the 2x2 table directly from the **public, free OpenFDA** `/drug/event` endpoint (no PHI, no MedDRA license to *query*; the reaction terms returned are already MedDRA PTs). This skill is **statistical screening**: a high PRR is a *hypothesis*, not a confirmed adverse drug reaction. ## When to use - You have a drug of interest and want to see which reactions are over-reported. - You need a PRR / ROR with confidence interval, or an Empirical Bayes EBGM/EB05 / IC025 to control for the small-count noise PRR/ROR suffer from. - You are building a routine signal-screening run over OpenFDA or your own aggregated case counts. ## The 2x2 table For one drug D and one reaction R, classify every report: | | Reaction R | Not R | …
Read the whole file at its exact version.
How to install
mdr add maziyarpanahi/openmed/detecting-pv-signals@sha256:e8728da5acfeb390The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_yiundq7raylquh7a)
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Versions
The registry has recorded 1 version of this file, committed on Jul 20, 2026.
Audit of the latest version
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- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
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- pass: No curl or wget piped into a shell
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Source
maziyarpanahi/openmed · 5,784 stars · license Apache-2.0 · pushed 2026-11-07 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_yiundq7raylquh7a GET https://markdownregistry.com/api/v1/resolve?ref=maziyarpanahi/openmed/detecting-pv-signals GET https://markdownregistry.com/api/v1/blob/e8728da5acfeb39032e27dbbdf3a1828ba8ac82b18d7e84d88b60e1de047f9fb
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