Browse The Skill Store

Design deterministic Mesh Flow guardrail topologies and verifier contracts for complex multi-agent AI systems.

🛡️ GuardrailDoctor

by JustHandled Labs

$29

Penetration-test your Claude Code agent's guardrails before you deploy. Throws prompt-injection payloads, shell-chaining, and path-traversal attempts at your PreToolUse/PostToolUse hooks and sensitive-file protections, then returns a pass/fail report on 10+ attack vectors with copy-paste remediation for every gap.

Secure, guardrail-first Render deployments and service management via MCP with mandatory approval gates.

AGENTS.md & Agent Config Quality Gate

by PubsProToolkit

$12

An adversarial reviewer for AGENTS.md and agent instruction files. It flags ambiguous or contradictory rules, missing guardrails, vague tool and scope definitions, and untestable instructions, then returns a PASS / REVISE / BLOCK verdict — before the config drives your agent.

⚔️ Guardrail Fallback Linter

by JustHandled Labs

$12

Find the LLM integration code that breaks when a model blocks a response or falls back to a different model. Flags calls with no try/except or refusal branch, responses used or parsed with no guard for a blocked or empty answer, and hardcoded model ids with no fallback handling. Built for the Fable 5 era, where a high-risk call is blocked and silently falls back to Opus 4.8.

Agent Spend Guardrails

by PubsProToolkit

$19

Define spending rules for your AI agent — caps, category whitelists, approval thresholds — and audit what it bought or almost bought, with an approve/hold/block verdict per transaction.

nex resend belgian compliance

by Nex AI

$7

Stop AI hallucinations in cold email with server-side legal footers and Belgian GDPR compliance guardrails.

agent failure pattern manager

by Timoranjes

$5

Teaches AI coding agents to stop repeating the same mistakes by maintaining a structured LEARNINGS.md file that captures failure patterns, converts them into guardrails, and feeds them back into CLAUD

Deterministic tiered governance and human-in-the-loop guardrails for AI agent write-actions.