Skill Detail
Probe AI agents for dangerous tool chains and execution side effects with ZIRAN
Test agent systems for graph-discovered tool-chain vulnerabilities, silent side effects, and multi-phase trust exploits before deployment.
Security & VerificationMulti-Framework
Security & Verification
Multi-Framework
Security Reviewed
⭐ 6 GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill probe-ai-agents-for-dangerous-tool-chains-and-execution-side-effects-with-ziran
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
AI agent system or test target, supported adapter or protocol path such as MCP or A2A, Python environment, security test configuration
Install & setup
Install ZIRAN with the upstream quick-start path, point it at the target agent system or supported protocol endpoint, then run its documented scan and campaign workflows to surface tool-chain and side-effect findings before rollout.
Author
taoq-ai
Publisher
Organization
Last updated
Apr 18, 2026
Quick brief
Use ZIRAN when you need pre-deployment security testing for agents that use tools, memory, or multi-step reasoning, instead of treating the system like a plain LLM prompt target. The operator workflow is specific: model the agent’s capabilities, discover dangerous tool compositions, run adversarial campaigns, and inspect execution-level side effects that text-only testing can miss. The scope boundary is strong because this is agent security testing and attack-path discovery, not a general framework, general eval suite, or runtime guardrail listing.