AGENTS.md · Tencent/AI-Infra-Guard
AGENTS.md from Tencent/AI-Infra-Guard: 99 lines covering 项目定位, 目录速览, 本地开发常用命令, 测试与校验要求 and more.
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Use cases: prompt-engineering
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What's in it
An AGENTS.md file: instructions coding agents (Codex, Cursor, Copilot, Gemini CLI and others) read before working in a repo.
- For
- Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode, Claude Code
- Length
- 99 lines
- File
AGENTS.md
Sections
- 项目定位
- 目录速览
- 本地开发常用命令
- 测试与校验要求
- 代码与提交流程约定
- 安全注意事项(项目特性)
- CI/CD 关联约束
First lines (shown under the repo's Apache-2.0 license)
# AGENTS.md ## 项目定位 AI-Infra-Guard 是一个混合技术栈的 AI 安全扫描平台,核心由以下部分组成: - Go 主应用(Web 服务、CLI、任务管理、规则引擎) - Python 子模块(`mcp-scan`、`agent-scan`、`AIG-PromptSecurity`) - 规则与知识库数据(`data/fingerprints`、`data/vuln`、`data/vuln_en`、`data/mcp`、`data/eval`) - Docker 部署编排(`docker-compose.yml`、`docker-compose.images.yml`) ## 目录速览 - `cmd/cli`:Go CLI 入口(`scan`、`webserver`) - `common/websocket`:Web/API 服务与任务接口 - `internal/mcp`:MCP 扫描与插件机制 - `pkg/`:数据库、HTTP、漏洞结构等基础库 - `cmd/agent`:Agent 进程入口(通过 WebSocket 接入主服务) - `agent-scan/`:Agent 工作流扫描框架(Python) - `mcp-scan/`:MCP 代码/动态扫描框架(Python) - `AIG-PromptSecurity/`:提示词安全评测组件(Python) ## 本地开发常用命令 ### Go 服务 ```bash # 构建主程序 go build -o ai-infra-guard ./cmd/cli/main.go # 启动 Web 服务 ./ai-infra-guard webserver --server 127.0.0.1:8088 # 或执行基础扫描 ./ai-infra-guard scan -t http://127.0.0.1:8088 ``` ### Agent 进程 ```bash go build -o agent ./cmd/agent AIG_SERVER=127.0.0.1:8088 ./agent ``` ### Docker 启动 ```bash # 使用预构建镜像 docker-compose -f docker-compose.images.yml up -d # 使用本地源码构建镜像 docker-compose up -d ``` ### Python 子模块 ```bash # MCP 扫描 pip install -r mcp-scan/requirements.txt python mcp-scan/main.py --repo /path/to/project # Agent 扫描 pip install -r agent-scan/requirements.txt python agent-scan/main.py --repo /path/to/project --agent_provider /path/to/provider.yaml # Prompt Security pip install -r AIG-PromptSecurity/requirements.txt ``` ## 测试与校验要求 ### 必做校验(按改动范围执行) ```bash # Go 单测 go test ./... # YAML 规则格式校验(与 CI 保持一致) go build -o yamlcheck ./cmd/yamlcheck ./yamlcheck data/fingerprints data/vuln data/vuln_en ``` ### 说明 - 修改 `data/` 下规则时,必须通过 `yamlcheck`。 - 修改 API/任务结构时,需同步检查 `api.md`、`api_zh.md` 与 `docs/swagger.yaml`。 - 修改 Python 子模块时,至少完成对应入口脚本的冒烟运行。 ## 代码与提交流程约定 - 优先做最小必要改动,避免无关重构。 - 保持现有中英双语风格(注释/文档按周边文件风格保持一致)。 - 不要提交敏感信息(API Key、Token、真实地址、日志隐私数据)。 - 不要删除或覆盖现有规则库文件,除非任务明确要求。 - 新增规则文件时,遵循现有目录与命名习惯。 ## 安全注意事项(项目特性) - 当前 Web 平台默认不含完整鉴权机制,不应直接暴露公网。 - `webserver` 监听非 `127.0.0.1` 地址会带来额外风险,需明确隔离环境。 - 涉及扫描目标、附件上传、模型配置时,注意日志中不要泄露密钥。 ## CI/CD 关联约束 - `.github/workflows/yaml-lint.yml` 会对 `data/**` 变更执行 YAML 校验。 - 镜像发布由 `.github/workflows/docker-publish.yml` 管理。 - Release 打包由 `.github/workflows/create-release.yml` 管理。 修改构建、发布、数据结构相关逻辑时,请先确认不会破坏以上流程。
Signals
- Stars
- 7,079
- Forks
- 676
- Open issues
- 10
- Last commit (this folder)
- Mar 20, 2026 (7 months ago)
- Last release
- Oct 22, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/Tencent/AI-Infra-Guard
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
AGENTS.md · Tencent/AI-Infra-Guard. Agent Mart. https://agentmart.dev/templates/tencent-ai-infra-guard-agents-md (last updated 2026-10-24)