Auto Re Agent — AI skill for Claude Code

auto-re-agent

[](https://pypi.org/project/auto-re-agent/) [](https://pypi.org/project/auto-re-agent/) [](https://github.com/Dryxio/auto-re-agent/actions/workflows/ci.yml) [](LICENSE)

`auto-re-agent` is an open-source AI reverse-engineering agent that uses Ghidra and LLMs—including Claude, Codex, and OpenAI-compatible models—to reconstruct and validate C/C++ functions from compiled binaries. It combines independent reverser/checker models, agentic evidence gathering, candidate build and test gates, structural verification, and parity analysis in one autonomous workflow.

Original pre-0.2 demo: [YouTube](https://youtu.be/zBQJYMKmwAs?si=emi1kDsJ81-2-tc3)

What it does

re-agent reverse --class CTrain
    │
    ├── Configuration (YAML + supported environment overrides + CLI flags)
    ├── Function selection (dependency-order | easiest-first | high-impact)
    ├── Source and binary context
    │   ├── decompile, xrefs, structs, enums, vtables, globals, and strings
    │   └── normalized high P-code, CFG, assembly, and nearby project source
    ├── Reverser → checker → fix loop (bounded rounds and investigations)
    ├── Conservative structural verifier
    ├── Candidate overlay
    │   └── configured build, test, and runtime gates
    ├── Candidate parity gate (GREEN | YELLOW | RED)
    └── Reports, per-round logs, session history, and knowledge graph

The tool generates candidate C/C++ implementations; it does not patch the original source tree automatically. A successful reversal can require four independent conditions:

1. the LLM checker returns PASS;
2. the objective verifier finds no strong structural mismatch;
3. candidate validation satisfies the configured acceptance policy;
4. pari