Skill

Master Common RE Scripting Environments

A reverse-engineering skill covering RE tooling, a four-phase analysis methodology, and code-pattern recognition, gated behind explicit authorization checks.

Works with githubida proghidraradare2frida

69
Spark score
out of 100
Updated 11 days ago
Source checked Sep 10, 2026
Version 17.0.0

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Why it matters

Leverage expertise in common reverse engineering scripting environments like IDAPython, Ghidra, and r2pipe to analyze binaries, identify patterns, and document findings. This skill guides users through reconnaissance, static and dynamic analysis, and documentation phases for authorized security research and CTF challenges.

Outcomes

What it gets done

01

Analyze binaries using IDAPython, Ghidra, and r2pipe.

02

Perform static and dynamic analysis of software.

03

Identify common code patterns and anti-debugging techniques.

04

Document findings and provide step-by-step analysis guidance.

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-reverse-engineer | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Common RE scripting environments

A reverse-engineering skill covering RE scripting environments, a four-phase analysis methodology (recon, static, dynamic, documentation), and common code-pattern recognition. Use it for authorized security research, CTF challenges, or defensive malware analysis. Gated behind explicit target confirmation and written-authorization checks before any active command.

What it does

Provides reverse-engineering guidance across common RE scripting environments (IDAPython, Ghidra scripting via Jython, r2pipe/radare2, pwntools, capstone, keystone, unicorn, angr, Triton), following a four-phase analysis methodology: reconnaissance (file identification, metadata extraction, packer detection, initial triage), static analysis (disassembler setup, entry points, program structure mapping, annotation, cross-referencing), dynamic analysis (isolated VM setup, breakpoint strategy, execution tracing, input manipulation), and documentation (functions, data structures, algorithms, findings). It also recognizes common code patterns and calling conventions across x86 cdecl/stdcall, x64 Windows, x64 System V, and ARM.

When to use - and when NOT to

Use it for authorized security research, CTF competitions and educational challenges, defensive malware analysis, responsible vulnerability disclosure, or understanding software for interoperability - not for unauthorized system access, creating malware, illegitimately bypassing licensing, IP theft, or any other illegal activity. The skill is explicitly gated: it requires the user to state the exact target, confirm written authorization and scope, and explicitly confirm before any command that probes, exploits, extracts data from, or attempts credential access against a target runs; without that confirmation it stays read-only and defensive-guidance-only.

Inputs and outputs

Given a target binary, DLL, or CTF challenge, the skill walks through the four-phase methodology and returns a scoped analysis approach - recommended tools, step-by-step methodology, and documented findings with supporting evidence. It recognizes common patterns like these, verbatim from its own reference examples:

// String obfuscation (XOR)
for (int i = 0; i < len; i++)
    str[i] ^= key;

// Anti-debugging (IsDebuggerPresent)
if (IsDebuggerPresent())
    exit(1);

// API hashing (common in malware)
hash = 0;
while (*name)
    hash = ror(hash, 13) + *name++;

// Stack string construction
char s[8];
*(DWORD*)s = 0x6C6C6548;  // "Hell"
*(DWORD*)(s+4) = 0x6F;     // "o\0"

Two worked examples illustrate the approach: a CTF binary password check (identify the binary with file/checksec, load it in Ghidra/IDA, look for string comparisons and crypto constants, set GDB breakpoints on strcmp, examine memory at the comparison point) and a closed-source DLL's authentication handling (list exports with dumpbin /exports, analyze statically in IDA/Ghidra, hook API calls with Frida and trace parameters dynamically, then document signatures and structures). Deeper implementation detail lives in resources/implementation-playbook.md.

Integrations

Built around standard RE tooling: IDAPython, Ghidra/Jython scripting, r2pipe, pwntools, capstone, keystone, unicorn, angr, and Triton, plus external tools referenced in the worked examples - GDB, Frida, dumpbin, and checksec.

Who it's for

Security researchers, CTF competitors, and malware analysts doing authorized reverse-engineering work who need a structured methodology and tool guidance rather than starting from a blank editor - always gated behind explicit target confirmation and written-authorization checks.

FAQ

Common questions

Discussion

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