benchmark-pii-recall SKILL.md skillA
benchmark-pii-recall 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/benchmark-pii-recall@git:20260727.9d7b5a2Pins git:20260727.9d7b5a2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- maziyarpanahi/openmed
- Path
skills/benchmark-pii-recall/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260727.9d7b5a2, committed Jul 27, 2026
- Size
- 4,117 bytes
- Repository stars
- 5,784
- License
- Apache-2.0
Benchmark an OpenMed PII model with synthetic gold spans and report label-aware exact-span and grapheme recall without emitting identifier surfaces. Use when an agent must compare a model, threshold, backend, or quantized artifact and enforce a recall floor before release.
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
# Benchmark PII recall
Measure PII recall before optimizing F1, size, or latency. A missed direct
identifier is a privacy failure even when aggregate F1 improves.
## Procedure
1. Build synthetic fixtures with exact offsets and canonical PII labels.
2. Include direct identifiers, boundary cases, languages/scripts, and the
target device or quantization.
3. Run `extract_pii` at the candidate threshold.
4. Normalize prediction labels and score each document separately.
5. Aggregate counts only; do not persist raw text or identifier surfaces.
6. Fail the release when the recall floor or zero-critical-leak requirement is
not met.
## Runnable synthetic benchmark
Install the model runtime first with `python -m pip install "openmed[hf]"`.
```python
from openmed import extract_pii
from openmed.core.labels import normalize_label
from openmed.eval import compute_character_recall, compute_exact_span_f1
MODEL = "OpenMed/OpenMed-PII-SuperClinical-Small-44M-v1"
RECALL_FLOOR = 0.99
FIXTURES = [
{
"text": (
"Call the synthetic clinic at 212-555-0198 or email "
"demo.patient@example.test."
),
"spans": [
…Read the whole file at its exact version.
How to install
mdr add maziyarpanahi/openmed/benchmark-pii-recall@sha256:82c6022df1fd21f6The line at the top of this page pins the label git:20260727.9d7b5a2, 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_2jkj4zy23m3k2rfa)
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Versions
The registry has recorded 1 version of this file, committed on Jul 27, 2026.
Audit of the latest version
- pass: Frontmatter block present
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- 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
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- pass: No curl or wget piped into a shell
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- 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_2jkj4zy23m3k2rfa GET https://markdownregistry.com/api/v1/resolve?ref=maziyarpanahi/openmed/benchmark-pii-recall GET https://markdownregistry.com/api/v1/blob/82c6022df1fd21f6aed735c43e2fa40933f8d6a0edf825379f36bfd80542d4fe
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