privacy-research-engineer-safeguards

Installation
SKILL.md

Privacy Research Engineer, Safeguards

When to Use

  • Frame privacy research questions for safeguard and moderation stacks
  • Design PII detection/redaction benchmarks — precision/recall, re-identification risk
  • Evaluate de-identification techniques (mask, tokenize, synthetic replace) on realistic prompts
  • Study memorization and extraction — can models or logs leak user content?
  • Curate privacy-sensitive datasets — synthetic data, consent boundaries, labeling rules
  • Run ablations on detector architecture, threshold, or post-processing
  • Define logging minimization — what safety systems may store vs must discard
  • Write research memos with privacy–utility trade-offs and production recommendations
  • Specify promotion criteria for privacy mitigations before prod rollout

When NOT to Use

Installs
19
GitHub Stars
2
First Seen
May 20, 2026
privacy-research-engineer-safeguards — daemon-blockint-tech/agentic-enteprises-skill