auditing-subgroup-fairness SKILL.md skillA
auditing-subgroup-fairness 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/auditing-subgroup-fairness@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/auditing-subgroup-fairness/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Jul 20, 2026
- Size
- 5,907 bytes
- Repository stars
- 5,784
- License
- Apache-2.0
Audit an OpenMed NER or de-identification model for performance disparities across demographic subgroups (sex, age band, race/ethnicity when available) using openmed.eval.fairness_report. Use when the user wants per-subgroup recall and leakage, wants to check whether de-identification under-protects a group, wants to surface a documentation gap where subgroup data is missing, or needs equalized-odds-style disparity numbers for a clinical model. Trigger on "fairness", "subgroup", "bias audit…
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
# Auditing Subgroup Fairness An aggregate pass can hide a group the model fails. For de-identification that failure has a name: **under-protection** — PHI that leaks more often for one demographic group than another. `openmed.eval.fairness_report` slices leakage and recall by gold-span group so disparities surface before deployment, not after a breach. ## When to use this skill - You want per-subgroup recall and leakage for a de-id or NER model. - You suspect (or must rule out) that one group is under-protected. - You need disparity numbers for a clinical AI governance review. - You need to document *which* subgroups you couldn't evaluate (the data gap). ## What it measures For each surrogate group `fairness_report` returns: - **leakage_rate** — fraction of that group's gold PHI characters left exposed (the de-id harm metric). - **recall** — fraction of that group's gold spans detected. - **leakage_disparity** — `max - min` leakage across groups (the gap to close). - **worst_group** / **worst_group_leakage** — the most-failed group. Group membership comes from a `group` tag in each gold span's `metadata` (keys …
Read the whole file at its exact version.
How to install
mdr add maziyarpanahi/openmed/auditing-subgroup-fairness@sha256:07f38d8255bc3c7cThe 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_jyej3zyu7ey62aum)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 20, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5907 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
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_jyej3zyu7ey62aum GET https://markdownregistry.com/api/v1/resolve?ref=maziyarpanahi/openmed/auditing-subgroup-fairness GET https://markdownregistry.com/api/v1/blob/07f38d8255bc3c7cb28888d38f415990a12c2f03e1b8355fdf5241d883e25335
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.