Detect secrets, PII, and private context in markdown before release.
npx skills add https://github.com/MDGrey33/memnyx --skill sanitizer-mdgrey33
Please help me install this Agent Skill. Skill: sanitizer Source: https://github.com/MDGrey33/memnyx/tree/main/.claude/skills/sanitizer Command: npx skills add https://github.com/MDGrey33/memnyx --skill sanitizer-mdgrey33
This Skill protects private repository content from leaking into boilerplate, public releases, or shared documentation by detecting secrets, personal data, private project references, and risky tone before publication.
Run the sanitizer on the file or folder you want to publish, review the report, and approve any changes only after you are satisfied with the findings.
High-intent search queries and answers about installing and using this skill.
You sanitize markdown by running a two-phase detection and approval workflow that scans files for secrets, PII, and private context, reporting findings before applying approved redactions. This prevents risky content from reaching public releases.
Markdown redaction in CI gate workflows uses check-mode reporting to produce deterministic redaction guidance without silent edits. It scans repository files and reports findings, allowing the pipeline to gate contributions based on detected secrets or PII.
Yes, you can use automated PII detection on SKILL.md, CLAUDE.md, and memory files. The scanner detects personal data and private project references before publication, ensuring boilerplate and shared templates remain clean and professional.
The best way to redact private project references is using mode-aware allowlists and denylists during a two-phase scan. This approach identifies risky tone and private context, then applies fixes only after you review and approve the reported findings.
Yes, markdown sanitization supports boilerplate, public, and project modes. These mode-aware settings adjust the detection rules to match your specific publishing context, whether you are preparing a contribution, a shared template, or a release artifact.
The sanitizer reports findings instead of silently editing markdown files to ensure you maintain control over redactions. This two-phase detection and approval process produces deterministic guidance, preventing accidental data loss during secret or PII removal.
Foo-xScan repositories and directories for API keys, credentials, and PII.
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vrcmsAutomate private repository sanitization and documentation for public GitHub releases.
