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使用 Homebrew 安装 snyk-agent-scan

查看 snyk-agent-scan 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install snyk-agent-scan

local Homebrew formula metadata

概览

软件包摘要

Constrain, log and scan your MCP connections for security vulnerabilities

命令和别名

  • snyk-agent-scan

历史

项目历史与用法

Snyk Agent Scan is Snyk's CLI for discovering and scanning local AI agent components, MCP servers, skills, and related configuration for security risks. It reflects the new package-manager problem of executable agent ecosystems: installed tools are no longer just binaries, they are prompts, skills, MCP configs, and commands that may run during inspection.

项目历史

The public GitHub repository was created in 2025. Its README describes Agent Scan as a tool for inventorying installed agent components and scanning for prompt injections, sensitive data handling, malware payloads hidden in natural language, tool poisoning, toxic flows, and vulnerabilities in agent skills.

The README notes that CLI output is experimental and that Agent Scan 0.4 was published with a technical report on emerging threats in the agent skill ecosystem, indicating a young tool aimed at a fast-changing area.

采用历史

Official usage examples install and run the tool with `uvx snyk-agent-scan@latest`, while the input records a Homebrew formula. The supported-agent matrix includes mainstream developer agents such as Claude, Cursor, Windsurf, Gemini CLI, VS Code, Codex, Amazon Q, and others.

使用方式

Users can run a full machine scan, scan a specific MCP configuration file, scan one skill file, or scan a directory of skills. The README warns that scanning MCP configurations may execute commands defined in those configs, so the CLI includes interactive consent and a deliberately named flag for trusted non-interactive runs.

为什么软件包爱好者会关心

Package nerds care because Agent Scan treats local agent configuration as supply chain surface. It scans the places modern developer tools install behavior, including project, user, system, extension, and plugin scopes, making it relevant to anyone packaging or auditing AI-enabled command-line environments.

时间线

  • 2025: Public GitHub repository created.
  • 2025: README documents scanning for MCP servers, agent tools, and skills.
  • 2026: Repository metadata shows active maintenance.

Related projects

  • Related ecosystems include MCP servers, Codex skills, Claude skills, Cursor/Windsurf/Gemini agent configurations, and Snyk's broader developer security tooling.

安全态势

尚未找到受保护工具覆盖

没有找到 snyk-agent-scan 的匹配本地密钥处理 manifest。Nucleus 软件包元数据仍在此发布,以便未来覆盖拥有稳定的软件包 URL。

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • Homebrew bottle 元数据适用于 6 个平台目标。
  • 安装时包含 6 个运行时依赖。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
snyk-agent-scancli全局可执行文件

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-07-25
管理器版本0.5.15
管理器更新时间2026-07-17
本地数据OK
上游not checked
检测到的最新版本未检测到

https://github.com/snyk/agent-scan

安装元数据

软件包元数据

软件包键brew:snyk-agent-scan
版本0.5.15
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/snyk-agent-scan
主页https://github.com/snyk/agent-scan
仓库https://github.com/snyk/agent-scan
上游文档https://github.com/snyk/agent-scan#readme
许可证Apache-2.0
源码归档https://files.pythonhosted.org/packages/a3/51/27ef1f809249107da45f6f3f4f190af7da51293257d3c84b2da1261edc9f/snyk_agent_scan-0.5.15.tar.gz
最后更新2026-07-17T17:13:21Z
Pulseupdated
依赖certifi, cryptography, libyaml, pydantic, python@3.14, rpds-py
Bottle可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namesnyk-agent-scan
Version Scheme0
Revision0
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated package history
  • package relationship graph
  • package version freshness
  • package-page enrichment