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alphaparkinc/genpark-agent-prompt-injection-jailbreak-sentinel-skill

Multi-vector heuristic prompt injection and jailbreak detector analyzing system overrides, delimiter breakouts, and base64 payload evasion.

⭐ 7 stars
⑂ 0 forks
Python
momentum ▲ 11.7
created 2026-09-28
on radar since 2026-10-01
agent-safetyai-agentcircuit-breakerdifferential-privacyloop-detectormcpmcp-servermodel-context-protocolprompt-injectionsandbox-guardzero-dependency
View on GitHub ↗Homepage ↗

About genpark-agent-prompt-injection-jailbreak-sentinel-skill

genpark-agent-prompt-injection-jailbreak-sentinel-skill

Production-Grade Autonomous Agent Safety, Sandbox & Guardrail Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)

genpark-agent-prompt-injection-jailbreak-sentinel-skill provides zero-dependency, deterministic agentic execution safety, sandboxing, and financial circuit breakers engineered strictly using Python 3.9+ standard library.

🌟 Key Architectural Capabilities - Zero External Dependencies: Operates exclusively via pure Python (math, re, collections, heapq, hashlib, json). Zero pip install overhead, zero C-extension compile errors. - Enterprise Agent Safety Invariants: Implements formal defenses against destructive shell commands, prompt injections, runaway spend loops, differential privacy data leakage, and planning deadlocks. - Native Anthropic MCP Protocol: Compliant with standard JSON-RPC 2.0 stdio MCP specifications for Claude Desktop, Cursor, and Windsurf.

🔌 One-Click MCP Integration (Claude Desktop / Cursor)

Add to your claudedesktopconfig.json or cursor.json:

This skill contains pre-configured smithery.yaml and pyproject.toml manifests. Install directly via pip:

Maintained with ❤️ by GenPark AI Engineering • Powering Next-Gen Autonomous Cognitive Agents 🌍

From the project README.

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