superlinked/sie/redact-pii

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Redact personal data from a document through the connected Superlinked MCP edge before working with the content. Use when the user asks to redact, anonymize, scrub, de-identify, or remove PII/sensitive data from a document.

Install

npx vskill@latest install superlinked/sie/redact-pii

SKILL.md

Redact PII with Superlinked MCP

Use the connected Superlinked MCP server to detect and replace PII on the SIE cluster through the MCP redact_pii tool.

Hard Rules

  • Do not open, view, attach, or read the source document into context before

redaction.

  • After redaction, continue the user's task using only the redacted artifact.
  • The MCP tool intentionally does not return a placeholder-to-original map. Do

not promise de-redaction from the MCP flow.

Steps

  1. Call the Superlinked MCP redact_pii tool:
  • For PDF, scan, image-of-text, DOCX, PPTX, XLSX, or HTML inputs, read raw

bytes only, base64-encode them, and pass document_base64 plus filename.

  • For text or markdown inputs, read raw bytes only, base64-encode them, and

pass content_base64.

  • Pass labels only if the user wants a custom PII/sensitive-data set.
  • Leave engine as auto unless the user explicitly asks to force a

conversion engine.

  1. Write the returned redacted_text to

processed/<source-stem>.redacted.md. Create processed/ if it does not exist.

  1. Your next message must begin with a short receipt:

``text Redacted <span_count> spans from <source> -> processed/<source-stem>.redacted.md ``

Include the label counts and the note that detection is model-based and best-effort, not a certified scrubber.

  1. Continue the user's actual task using only the redacted artifact.

Errors

If the MCP call fails, relay the tool error and do not retry blindly. For auth or connector errors, tell the user to reinstall the generated MCP plugin pack or rerun the generated claude mcp add ... --header 'Authorization: Bearer ...' command from INSTALL.md.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
3,356
Repository forks
317
7-day trend score
41

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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