aga 是做什么的？
Agent Governance & Assurance（智能体治理与保障）—— AI 智能体技能安全扫描器。基于规则优先检测恶意技能，可选用 LLM 深度分析。支持 YAML 插件系统和 MalSkillBench 集成。
- 来源：https://github.com/aaa-mvc/aga
- GitHub 星标数：1
- 最近推送时间：2026-06-16T09:56:46Z
- 由 Awesome Skills 每日技能猎人于 2026-06-16 收录。
Agent Governance & Assurance（智能体治理与保障）—— AI 智能体技能安全扫描器。基于规则优先检测恶意技能，可选用 LLM 深度分析。支持 YAML 插件系统和 MalSkillBench 集成。
aaa-mvc/aga 是一个面向 AI 智能体技能的安全扫描器，专注于检测恶意或未经授权的智能体技能。它采用规则优先的检测策略，并可选配大语言模型（LLM）进行深度分析，兼顾速度与准确性。该工具通过 YAML 插件系统实现高度可扩展性，用户可以自定义检测规则，并集成 MalSkillBench 恶意技能基准测试集以验证其检测能力。适用于基于智能体技能的开发环境（如 Claude Code、Cursor、Codex），帮助开发者在技能部署前识别潜在安全风险。规则文件采用 YAML 格式，便于社区共享和维护。目前 GitHub 上有 1 个星标，最近一次推送时间为 2026-06-16，由 Awesome Skills 每日技能猎人收录。
npx skills add aaa-mvc/agaInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Agent Governance & Assurance（智能体治理与保障）—— AI 智能体技能安全扫描器。基于规则优先检测恶意技能，可选用 LLM 深度分析。支持 YAML 插件系统和 MalSkillBench 集成。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.