Pii Redaction Logging Policy Builder
CheckedThis tool automates PII redaction and logging policy creation for compliance, streamlining data protection efforts and reducing risk.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add patricio0312rev/skills --skill pii-redaction-logging-policy-builder -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
patricio0312rev
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned patricio0312rev/skills at 79ea6af485.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 79ea6af485
- Scanned
- 1 file, 62 lines
About this skill
The PII Redaction and Logging Policy Builder skill automates the creation of compliance documents for AI agents. It generates specific policies detailing how to identify, mask, and log personally identifiable information (PII) within data streams. This tool ensures that logging practices align with privacy regulations like GDPR or CCPA by defining strict redaction rules upfront.
When to use it
- You need to draft a logging policy for an AI agent processing user emails or chat logs before deployment.
- Your organization requires compliance documentation proving that PII is automatically masked in system audit trails.
- You are configuring an agent to handle sensitive health records and must define specific redaction patterns for names and IDs.
- You want to establish a standardized template for logging events without exposing raw personal data to downstream systems.
Key capabilities
- Generates comprehensive PII redaction policies tailored to specific regulatory frameworks.
- Defines automated rules for masking sensitive fields such as names, addresses, and phone numbers.
- Creates structured logging guidelines that specify what data is safe to record versus what must be omitted.
- Outputs ready-to-implement policy documents for integration into agent configuration files.
Example prompts
"Create a PII redaction policy for an AI customer support agent handling credit card information." "Generate a logging policy that masks names and email addresses while recording conversation timestamps for audit purposes." "Draft a compliance document outlining how to handle GDPR-sensitive data in AI-generated logs without violating privacy laws."
Tips & gotchas
Ensure you provide clear definitions of which data types constitute PII within your specific industry context, as the policy relies on accurate input parameters. This tool generates policy templates; it does not automatically enforce redaction logic within your agent's codebase, so manual implementation steps may be required.