auditing-deid-leakage
auditing-deid-leakage is an Application security skill for AI agents, published by maziyarpanahi in the openmed repository on GitHub. Skillspace rates auditing-deid-leakage C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Adversarially scan already-de-identified clinical text for residual identifiers and emit a leakage report that blocks release on any hit. Use after OpenMed de-identification when the user asks to verify a redaction, prove no PHI/PII leaked, gate a dataset before sharing, or run a second-pass detector. Covers format and checksum detectors (SSN, Luhn for card numbers, MRN/account patterns, emails, phones, dates), entropy heuristics for high-randomness tokens, severity scoring, and a hard block-on-leak rule. This is the verification half of OpenMed's leakage-first ethos. Hand-off: re-run openmed.extract_pii on the de-id output and diff against expectations. License-free, local-first. Pairs after deidentifying-clinical-text.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 5,313
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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