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[分享创造] 做了一个逆向 Agent,专门解决无人值守和高难样本

最近做了个有点不一样的逆向工程 Agent 。想解决的其实是个很实际的问题:逆向任务一复杂,AI 很容易跑偏,或者分析到一半就说自己搞定了。目前基于强化学习牵引所以目前支持 WEB 、PE 、ELF 、APK 、固件等方向,可以一边学习一边分析,也会把做过的方法和结果沉淀下来,后续任务能继续积累经验。项目还在迭代,欢迎对 AI 逆向感兴趣的朋友试试,也欢迎直接拿真实样本来交流和 star 。GitHub: https://github.com/amd2g2zz/kunglao-agent

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Source record

Research analysis

Project record

Source account: 最近做了个有点不一样的逆向工程 Agent 。想解决的其实是个很实际的问题:逆向任务一复杂,AI 很容易跑偏,或者分析到一半就说自己搞定了。目前基于强化学习牵引所以目前支持 WEB 、PE 、ELF 、APK 、固件等方向,可以一边学习一边分析,也会把做过的方法和结果沉淀下来,后续任务能继续积累经验。项目还在迭代,欢迎对 AI 逆向感兴趣的朋友试试,也欢迎直接拿真实样本来交流和 star 。GitHub: https://github.com/amd2g2zz/kunglao-agent

Observed adoption & comparisons

Recent records to compare: “google/skills” (GitHub Trending, Nov 5, 2026); “mattpocock/skills” (GitHub Trending, Nov 5, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.

Adoption decision

Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.

Unverified requirements

Not verified: license permissions, required hardware, installation steps, maintenance status and a representative task with its failure cases.

Next test

Choose one real task and a current alternative. Record the commit, environment, input, output, elapsed time and failure behavior; retain the result before recommending adoption.