Add a CI gate that fails the build when an OpenMed de-identification model's recall on a held-out PHI set drops below threshold or any critical identifier leaks. Use when the user wants a pytest test or CLI step that exits nonzero on de-id regression, wants to wire OpenMed's leakage-first release gates into GitHub Actions / CI, needs a recall floor plus zero-leakage assertion against a synthetic held-out set, or wants to block merges that weaken de-identification. Trigger on \"CI gate\", \"fa...
Scanned 9/12/2026
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---
name: gating-deid-leakage
description: "Add a CI gate that fails the build when an OpenMed de-identification model's recall on a held-out PHI set drops below threshold or any critical identifier leaks. Use when the user wants a pytest test or CLI step that exits nonzero on de-id regression, wants to wire OpenMed's leakage-first release gates into GitHub Actions / CI, needs a recall floor plus zero-leakage assertion against a synthetic held-out set, or wants to block merges that weaken de-identification. Trigger on \"CI gate\", \"fail the build\", \"regression test\", \"de-id recall threshold\", \"block the merge\", \"exit nonzero\", or \"leakage check in CI\" for OpenMed."
license: Apache-2.0
metadata:
project: OpenMed
category: evaluation-quality
pairs: adjacent
version: "1.0"
---
# Gating De-id Leakage in CI
Logs, baselines, and models drift. The only durable defense is a gate that runs
on every change and **fails closed** when de-identification regresses. This skill
operationalizes OpenMed's leakage-first ethos into a CI check: recall must stay
above the floor and **critical leakage must be exactly zero**, or the build goes
red.
## When to use this skill
- You want a pytest test or CLI step that exits nonzero on de-id regression.
- You need to block PRs that drop PHI recall or introduce a leak.
- You want OpenMed's release gates (`ReleaseGate`, G1a–G8) enforced in CI.
- You maintain a synthetic held-out PHI set and want it checked automatically.
For the full gate semantics see `evaluating-with-leakage-gates`; this skill is
about *wiring it into CI so it fails the build*.
## Quick start — a pytest gate
```python
# tests/eval/test_deid_leakage_gate.py
import pytest
from openmed.eval import run_suite, ReleaseGate, RELEASABLE
RECALL_FLOOR = 0.99 # direct-identifier recall floor
HELD_OUT = "eval/heldout/phi_synthetic.json" # SYNTHETIC, committed
@pytest.fixture(scope="module")
def gate_report():
report = run_suite(
HELD_OUT,
suite="golden",
model_name="OpenMed/Privacy-PII-Detection",
device="cpu",
metadata={"family": "PII", "tier": "base", "policy": "hipaa_safe_harbor"},
)
return ReleaseGate(milestone="v1.6", policy="hipaa_safe_harbor").evaluate(report)
def test_no_critical_leakage(gate_report):
# Hard zero: one leaked SSN/credit-card is a breach, full stop.
assert gate_report.critical_leakage_count == 0, "critical PHI leaked"
def test_recall_floor(gate_report):
low = {
label: r
for label, r in gate_report.per_label_recall.items()
if r < RECALL_FLOOR
}
assert not low, f"recall below floor: {low}"
def test_releasable(gate_report):
# The structural decision: any failed gate -> QUARANTINED -> red build.
failed = [c.gate for c in gate_report.gate_results if not c.passed]
assert gate_report.decision == RELEASABLE, f"quarantined; failed gates: {failed}"
```
`pytest` exits nonzero on any failure, so CI turns red automatically.
## Quick start — a CLI gate
The harness ships a `main()` that **fails closed** (exit 1 on quarantine):
```bash
# Produce a candidate report, then gate it. Nonzero exit blocks the job.
python -m openmed.eval.release_gates \
--candidate eval/out/candidate_report.json \
--baseline-store eval/baselines/last_green.json \
--milestone v1.6 --policy hipaa_safe_harbor \
--output release-gate-report.json
```
Exit codes: `0` RELEASABLE, `1` QUARANTINED, `2` evaluation error before a
report. CI should treat `1` and `2` as failures.
## Wire it into GitHub Actions
```yaml
# .github/workflows/deid-gate.yml
name: de-id leakage gate
on: [pull_request]
jobs:
gate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: astral-sh/setup-uv@v5
- run: uv pip install --system -e ".[hf]"
- name: Run de-id leakage gate
run: uv run pytest tests/eval/test_deid_leakage_gate.py -q
# The job fails (red) automatically if pytest exits nonzero.
```
## Workflow
1. **Curate a synthetic held-out PHI set** and commit it (offsets + labels, no
real patient text). Use `building-gold-corpus`. It must be disjoint from any
calibration/training data.
2. **Pick the floor from policy.** Don't hardcode a magic number you invented —
align to the gate's published floors (`G1A_V16_RECALL_FLOOR` etc. in
`openmed.eval.release_gates`) and the active policy profile.
3. **Run the suite → gate the report** (pytest fixture above).
4. **Assert two invariants**: `critical_leakage_count == 0` and per-label recall
≥ floor. Optionally assert `decision == RELEASABLE` for the full G1a–G8 check.
5. **Make it required.** Mark the job a required status check so a red gate
blocks merge — a passing-but-not-required gate protects nothing.
6. **On failure, the harness CLI can open/refresh a tracking issue**
(`--issue-on-failure`) so the regression is visible, not silently retried.
## Hand-off to / from OpenMed
- **From** `evaluating-with-leakage-gates`: this skill is the CI wrapper around
the same `ReleaseGate.evaluate(...)` call — reuse its gate semantics.
- **From** `building-gold-corpus`: supplies the synthetic held-out fixtures the
gate runs against.
- **To** `authoring-model-cards`: a green gate's `GateReport` is the evidence the
model card cites under "evaluation".
- **Pairs with** `enforcing-nophi-logging`: the gate proves the *model* doesn't
leak; the logging guard proves your *runtime* doesn't leak.
## Edge cases & gotchas
- **Fail closed, never open.** If the candidate report is missing or the eval
errors, treat it as a failure. Don't `|| true` the step.
- **A passing F1 is not a passing gate.** Recall floor + zero critical leakage are
the load-bearing assertions; assert them explicitly even if you also check
`decision`.
- **Held-out must stay held-out.** If the gate set leaks into calibration or
training, the gate measures memorization, not generalization. Keep splits
disjoint (see `building-gold-corpus`).
- **Pin the model and milestone.** Floors change per milestone (v1.6 vs v2.0);
pin both so a "passing" gate doesn't silently weaken.
- **No real PHI in CI artifacts or logs.** The gate report is offsets/hashes
only; don't print fixture text in CI output.
- **Baselines are inputs, not outputs of the gate.** Promote last-green baselines
in a separate, reviewed step — never auto-write them from the gate job.
## Standards & references
- HIPAA Safe Harbor de-identification standard (45 CFR 164.514):
https://www.hhs.gov/hipaa/for-professionals/privacy/special-topics/de-identification/
- NIST SP 800-188, *De-Identification of Personal Information*:
https://csrc.nist.gov/pubs/sp/800/188/final
- GitHub Actions required status checks:
https://docs.github.com/actions/using-workflows/required-status-checks
- OpenMed eval source of truth: `openmed/eval/release_gates.py` (`main`,
`ReleaseGate`), `openmed/eval/harness.py`.
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