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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -41,6 +41,7 @@ This list is organized by the **security lifecycle** of an autonomous agent, cov
*Tools to analyze agent configuration and logic code before deployment.*

- **[Aguara](https://github.com/garagon/aguara)** - A static security scanner for AI agent skills and MCP server configurations. Detects prompt injection, credential leaks, data exfiltration, and supply-chain attacks with 173 built-in rules, 4 analysis layers, and remediation guidance.
- **[agent-guard](https://github.com/yui-stingray/agent-guard)** - A vendor-neutral static evidence and conformance layer for repositories touched by coding agents. Instead of scoring vulnerabilities, it emits deterministic, sanitized evidence packs over agent instruction files, skills, MCP configuration, pinned context digests, and workflow drift, so CI, release gates, and downstream consumers can validate conformance across frameworks. Ships a GitHub Action and pre-commit hooks; never executes tools or MCP servers.
- **[Agentic Radar](https://github.com/splx-ai/agentic-radar)** - A static analysis tool that visualizes agent workflows (LangGraph, CrewAI, AutoGen). It detects risky tool usage, permission loops, and maps them to known vulnerabilities.
- **[Agent Bound](https://github.com/ElPaisano/agent-bound)** - A design-time analysis tool that calculates "Agentic Entropy"—a metric to quantify the unpredictability and risk of infinite loops or unconstrained actions in agent architectures.
- **[Checkov](https://github.com/bridgecrewio/checkov)** - While primarily for IaC, Checkov includes policies for scanning AI infrastructure and configurations to prevent misconfigurations in deployment.
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