pII-guard: LLM-powered tool that detects and manages Personally Identifiable Information in logs

by rpgeeganage · Agent Tool · ★ 113

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ailarge-language-modellarge-language-modelsllmpiipii-detectionprivacy-enhancing-technologiesprivacy-protectionprivacy-tools

Quick Facts

Stars113
Forks9
LanguageTypeScript
CategoryAgent Tool
Quality Score62/100
Last Updated2025-11-01
Created2025-03-10
Platformsnode
Est. Tokens~44k

About pII-guard

🛡️ PII Guard PII Guard is an LLM-powered tool that detects and manages Personally Identifiable Information (PII) in logs — designed to support data privacy and GDPR compliance. ⚠️ This is a personal side project Built to explore how Large Language Models can detect sensitive data in logs more intelligently than traditional regex-based approaches.

Compatible Skills

These tools work well together with pII-guard for enhanced workflows:

  • local-cocoa — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • pasteguard — semantic(0.35)+rare_topics+same_lang+similar_pop+shared_platform (47%)

pII-guard alternative? Top 6 similar tools

Looking for a pII-guard alternative? If you're comparing pII-guard with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • Promptimizer by austin-starks · ⭐ 211

    An Automated AI-Powered Prompt Optimization Framework

  • awesome-llm-os by bilalonur · ⭐ 164

    A curated list of awesome resources, tools, research papers, and projects related to the concept of Large Lang

  • Finance-LLMs by kennethleungty · ⭐ 138

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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