safe-share
# Safe Share
Use this skill to produce a safe-to-share copy of text. Prefer deterministic local sanitization over model-only guessing.
## Workflow
1. Confirm the user wants a shareable copy, not a forensic analysis.
2. Determine the output mode:
- `placeholder`: best default for docs, issues, READMEs, and tutorials
- `redact`: best when preserving shape is not important
- `mask`: best when keeping a hint of the original value is useful
3. Run `scripts/sanitize_text.py` on the exact text the user provided.
4. Return:
- `sanitized_text`
- `findings_summary`
- `review_notes`
5. Never echo the original sensitive value back to the user.
## Operating Rules
- Default to `placeholder` mode unless the user asks for something else.
- Treat secrets and credentials as higher priority than general PII.
- Replace with stable labels such as `<OPENAI_API_KEY>` or `[REDACTED:BEARER_TOKEN]`.
- Keep summaries high level. Report type and count, not the captured value.
- State clearly that sanitization reduces risk but does not guarantee complete detection.
- Do not scan unrelated files or repositories unless the user explicitly asks for that broader scope.
- Do not send text to external services for classification or validation.
## High-Risk Patterns
Prioritize these categories:
- API keys and secret tokens
- Authorization headers and bearer tokens
- Cookies and session identifiers
- `.env`-style credentials and password assignments
- Private key blocks and PEM material
- Sensitive URL query parameters
Then handle lower-risk identifiers:
- Email addresses
- Phone numbers
- IP addresses
- National ID or payment-card-like strings when confidence is high
## Output Contract
Use the JSON contract from `references/output-format.md` when returning structured results from the script. If answering in prose, include the same three sections in human-readable form.
## Resources
- Detection and replacement behavior: `references/patterns.md`
- Output structure and reviewer guidance: `references/output-format.md`
- Smoke-test inputs and expected behavior: `references/test-cases.md`
- Deterministic local sanitizer: `scripts/sanitize_text.py`
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skill
ai