
Crabtrap Llm Proxy
If you're shipping AI agents that make HTTP calls, this is a security layer that sits between your agent and the internet. Every outbound request hits static rules first, then gets evaluated by an LLM judge against a natural language policy before it reaches the actual API. You get SSRF protection, audit logs in Postgres, and a 403 with reasoning when something's blocked. It's overkill for demos but makes sense if your agent has write access to production APIs or you're worried about prompt injection leading to unauthorized calls. Ships as a Docker container with an admin UI for managing rules and policies per user.
- skills.sh installs
- 257
- GitHub stars
- 26
- last updated
- Jun 3, 2026
Install
$ npx -y skills add aradotso/trending-skills --skill crabtrap-llm-proxy --agent claude-codeInstalls into .claude/skills of the current project.
Files
CrabTrap LLM Proxy
Skill by ara.so — Daily 2026 Skills collection.
CrabTrap is a transparent HTTP/HTTPS forward proxy that sits between AI agents and external APIs. Every outbound request is intercepted, checked against deterministic static rules, then evaluated by an LLM judge against a natural-language security policy. Blocked requests return a 403 with a reason; all decisions are logged to PostgreSQL.
Architecture Overview
Agent → CrabTrap Proxy (:8080) → [Static Rules] → [LLM Judge] → External API
↓
Admin UI (:8081)
↓
PostgreSQL
Key concepts:
- Static rules — deterministic prefix/exact/glob URL matching, checked first (no LLM call)
- LLM judge — natural-language policy evaluated only when no static rule matches
- Audit log — every request, decision, and response stored in PostgreSQL
- SSRF protection — blocks RFC 1918, loopback, link-local, and other private ranges
Installation
Docker Compose (Recommended)
Sponsors
Details
- Repository
- github.com/aradotso/trending-skills
- Categories
- Backend & APIs, AI & Agent Building
- First seen
- Jun 3, 2026
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