pii-detect
Detect and flag personally identifiable information (PII) in text, code, and configurations. Use before committing code, writing logs, storing data, or sending model responses that might contain emails, phone numbers, SSNs, API keys, or passwords.
Profile →npx skills add ruvnet/ruflo --skill pii-detect --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# PII Detection Detect personally identifiable information before it enters logs, commits, or responses. ## When to use Before committing code, storing data, or sending responses that might contain PII (emails, phone numbers, SSNs, API keys, passwords). ## Steps 1. **Quick PII check** — call `mcp__plugin_ruflo-core_ruflo__aidefence_has_pii` with the text for a boolean result 2. **Detailed scan** — call `mcp__plugin_ruflo-core_ruflo__transfer_detect-pii` for categorized PII findings 3. **Full analysis** — call `mcp__plugin_ruflo-core_ruflo__aidefence_analyze` for context-aware PII detection 4. If PII found, flag the specific locations and suggest redaction ## PII categories detected - Email addresses, phone numbers - Social security numbers, tax IDs - Credit card numbers - API keys, tokens, passwords - Physical addresses - Names linked to sensitive data
- When to use
- Steps
- PII categories detected
What does the pii-detect skill do?
Detect and flag personally identifiable information (PII) in text, code, and configurations. Use before committing code, writing logs, storing data, or sending model responses that might contain emails, phone numbers, SSNs, API keys, or passwords.
How do I install it?
Run `npx skills add ruvnet/ruflo --skill pii-detect --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ruvnet/ruflo, a repository with 67,015 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.