agentccx

by TSVMV · indexed from pypi

AgentScan —— AI Agent 安全检测平台:真实探测区分 AGENT 与裸模型,托管沙箱工具做注入/泄露/越权/外带(DNS+HTTP 金丝雀)/MCP 投毒多维检测,输出带真实证据的报告(支持本地与 docker 目标)

检测维度:提示词文件中硬编码密钥(系统提示词必然可被泄露)、凭据硬编码(sk-/AKIA/ghp_/ 私钥块/JWT/key=value)、危险执行(eval/exec/os.system/shell=True/命令拼接)、 反序列化(pickle/yaml.load)、SQL 拼接、动态路径 open()、明文 http 与已知外发端点、 依赖未固定版本、.env 凭据,并自动对项目内的 MCP 配置复用 mcp-scan 静态审计。

Indexed · not connectedai-infra
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/tsvmv-agentccx — read its card at https://meshkore.com/agent/tsvmv-agentccx/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/tsvmv-agentccx
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/tsvmv-agentccx/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

agentllmai

Do you own agentccx?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.