Home / 2389-research / binary-re · GitHub

binary-re:static-analysis SKILL.md skillA

binary-re:static-analysis from 2389-research/binary-re is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add 2389-research/binary-re/binary-re:static-analysis@git:20260706.1bbfa9b

Pins git:20260706.1bbfa9b in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: 2389-research/binary-re
Path: skills/static-analysis/SKILL.md
Versions recorded: 4
Latest version: git:20260706.1bbfa9b, committed Jul 6, 2026
First version recorded: Jan 6, 2026
Size: 8,861 bytes
Repository stars: 22
License: MIT

Performs static analysis of binary code using radare2 and Ghidra — function enumeration, cross-reference tracing, decompilation, and control flow graphs without executing the binary. Use when disassembling or decompiling code, mapping functions, tracing data flow, or building hypotheses before dynamic verification.

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

# Static Analysis (Phases 2-3)

## Purpose

Understand binary structure and logic without execution. Map functions, trace data flow, decompile critical code.

## When to Use

- After triage has established architecture and ABI
- To understand specific functions identified as interesting
- When dynamic analysis is impractical or risky
- To build hypotheses before dynamic verification

## Two-Stage Approach

**Stage 1 (Light):** Function enumeration, strings, imports - fast, broad coverage
**Stage 2 (Deep):** Targeted decompilation, CFG analysis - slow, focused

## Stage 1: Light Analysis (radare2)

### Analysis Depth Selection

| Binary Size | Command | Tradeoff |
|-------------|---------|----------|
| < 500KB | `aaa` | Full analysis, may be slow |
| 500KB - 5MB | `aa; aac` | Functions + all call targets |
| > 5MB | `aa` + targeted `af @addr` | Fast, manual depth control |

### Session Setup

```bash
# Launch r2 with controlled analysis
r2 -q0 -e scr.color=false -e anal.timeout=120 -e anal.maxsize=67108864 binary

# Inside r2 (choose based on binary size):
aa       # Basic analysis
aac      # Also analyze all call targets (recommended for most binaries)
```

**Critical settings:**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add 2389-research/binary-re/binary-re:static-analysis@sha256:99709b8e57695f94

The line at the top of this page pins the label git:20260706.1bbfa9b, 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.

Badge

[![mdr](https://markdownregistry.com/badge/art_e4572qlwrblfigp7.svg)](https://markdownregistry.com/a/art_e4572qlwrblfigp7)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Jan 6, 2026 and Jul 6, 2026, about one every 60 days.

version	committed	commit	size	audit
git:20260706.1bbfa9b latest	2026-07-06	1bbfa9b	8,861 B	A	view · diff
git:20260106.49edd78	2026-01-06	49edd78	10,015 B	A	view · diff
git:20260106.3ea64f1	2026-01-06	3ea64f1	10,015 B	A	view · diff
git:20260106.b6bcfb3	2026-01-06	b6bcfb3	9,788 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (8861 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

GitHub

2389-research/binary-re · 22 stars · license MIT · pushed 2026-09-25 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_e4572qlwrblfigp7
GET https://markdownregistry.com/api/v1/resolve?ref=2389-research/binary-re/binary-re:static-analysis
GET https://markdownregistry.com/api/v1/blob/99709b8e57695f949f11ad956058d2db01b6d687b45f0ec382cb17b06922dbcf

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: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.