claude

guard

AI Operations Team — Guard: Input/output safety filters, PII detection, content moderation, and AI policy enforcement at runtime.

77 on GitHubby tonone-aiv1.20.0MITupdated 2 days ago
/

Plugin guard from marketplace tonone-ai in tonone-ai/tonone. Commands read from the repo's manifest — 2 days ago.

What it installs

Skills (3)

  • guard-audit

    Audit guardrail coverage — bypass vectors, false positive rates, policy gap analysis, red-team scenarios. Use when asked to "audit our AI guardrails", "can our filters be bypassed", or "check guardrail false positives".

  • guard-design

    Design guardrail layers — input classifiers, output validators, PII scrubbers, policy rule engines. Use when asked to "add safety filters", "scrub PII from LLM output", or "design content moderation".

  • guard-recon

    Map current AI safety controls — filter inventory, coverage gaps, latency impact, incident history. Use when asked "what AI safety controls do we have", "find guardrail coverage gaps", or "map our filters".

Subagents (1)

  • guard

    AI safety and guardrails — input/output filters, PII detection, content moderation, runtime policy enforcement

View source on GitHub second.tonone.ai

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