aga 是做什麼的?
Agent 治理與保證 — AI Agent 技能安全掃描器。基於規則優先偵測惡意代理技能,並可選用 LLM 深度分析。內建 YAML 插件系統及 MalSkillBench 整合。
- 來源:https://github.com/aaa-mvc/aga
- GitHub 星數:1
- 最後推送時間:2026-06-16T09:56:46Z
- 由 Awesome Skills 每日技能獵人於 2026-06-16 新增。
Agent 治理與保證 — AI Agent 技能安全掃描器。基於規則優先偵測惡意代理技能,並可選用 LLM 深度分析。內建 YAML 插件系統及 MalSkillBench 整合。
aaa-mvc/aga 是一個專為 AI Agent 技能設計的安全掃描器,採用規則優先的偵測策略,能夠快速識別潛在的惡意技能。它支援可選的 LLM 深度分析功能,進一步提高威脅偵測的準確性。該工具內建基於 YAML 的插件系統,便於擴展自訂掃描規則,並整合了 MalSkillBench 測試基準,幫助驗證掃描效果。支援多種 AI Agent 平台(如 Claude Code、Cursor、Codex 等),開發者可以將其加入 CI/CD 流程,自動防護 Agent 技能供應鏈安全。總體而言,aga 提供了一種輕量、可擴展的方法來強化 AI Agent 生態系統的安全性,避免惡意技能造成損害。
npx skills add aaa-mvc/agaInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Agent 治理與保證 — AI Agent 技能安全掃描器。基於規則優先偵測惡意代理技能,並可選用 LLM 深度分析。內建 YAML 插件系統及 MalSkillBench 整合。
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.