DESIGN.md@benchA
DESIGN.md@bench from alexgaoth/awesome-reverse-engineered is a DESIGN.md file: the design rules coding agents follow in that repo.
mdr add alexgaoth/awesome-reverse-engineered/bench/DESIGN.md@git:20261104.a55cd32Pins git:20261104.a55cd32 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 14 of 14 checks passed
- Kind
- DESIGN.md file
- Repository
- alexgaoth/awesome-reverse-engineered
- Path
bench/DESIGN.md- Versions recorded
- 2
- Latest version
- git:20261104.a55cd32, committed Nov 4, 2026
- First version recorded
- Nov 4, 2026
- Size
- 8,679 bytes
- Repository stars
- 1,285
- License
- MIT
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Interop-Bench: design and decision record ## The question Can an agent make working software talk to something closed, using only what an outside engineer would have: samples, traffic captures and a live unit? This is the work behind most of the index: LocalTuya, python-kasa, python-miio, opendbc, python-fitparse. Existing agent benchmarks measure neighbouring skills on binaries: crackmes (CrackMeBench), malware-style analysis (AgentRE-Bench), crypto (CREBench), function decompilation (DecompileBench and others) and reimplementation from an executable (ProgramBench, Behavior2Code). A search on 2026-11-04 found none that scores protocol or format inference by interoperation. ## Why not matching decompilations This was the first idea, and it was rejected: 1. **Answers are public.** Decomp repositories are on GitHub, so models may have trained on them. A high score could mean recall, not skill. 2. **Copyright.** Targets are assembly and data from commercial games. 3. **Community.** Many decompilation maintainers oppose AI decompiling, and they are the people this index lists. 4. **It exists.** Projects such as bigyoshi51/decomp already publish results on this. ## Principles …
Read the whole file at its exact version.
How to install
mdr add alexgaoth/awesome-reverse-engineered/bench/DESIGN.md@sha256:421f60266df7a781The line at the top of this page pins the label git:20261104.a55cd32, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_fxxrayp4phnl4rsg)
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Versions
The registry has recorded 2 versions of this file, all committed on Nov 4, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261104.a55cd32 latest | 2026-11-04 | a55cd32 | 8,679 B | A | view · diff |
| git:20261104.8531dfc | 2026-11-04 | 8531dfc | 5,870 B | A | view |
Audit of the latest version
- pass: Size between 200 bytes and 200 KB (8679 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
alexgaoth/awesome-reverse-engineered · 1,285 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fxxrayp4phnl4rsg GET https://markdownregistry.com/api/v1/resolve?ref=alexgaoth/awesome-reverse-engineered/bench/DESIGN.md GET https://markdownregistry.com/api/v1/blob/421f60266df7a781c380dc0281be9fb24e5f857173b7833c43f0864effcda336
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: what DESIGN.md is and how agents use it · which agent file does what.