decompiled-code-extractor

A data-retrieval tool for DeepExtractIDA analysis databases, which store information extracted from Windows program files. It retrieves decompiled C++-like code, assembly, function signatures, strings, cross-references, virtual-table context, global-variable access, stack frames, and loop data.

In plain words
What is it for?
Use it to find a module’s analysis database, search for functions, list functions, or retrieve complete records for selected functions.
Why use it?
It gives other analysis tools consistent access to the stored function information without performing its own interpretation or rewriting. This avoids manually locating databases and extracting records.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/marcosd4h/deepextractruntime/decompiled-code-extractor
Any agent
npx skills add marcosd4h/DeepExtractRuntime --skill decompiled-code-extractor
Clone the repo
git clone --depth 1 https://github.com/marcosd4h/DeepExtractRuntime

Made for: Claude Code, Codex.

Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,924 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00089 $0.01924
Opus 5 $0.00044 $0.00962
Sonnet 5 $0.00018 $0.00385
Haiku 4.5 $0.00009 $0.00192

Measured 2d ago against content hash 91e6abbbffd0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

decompiled-code-extractor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/_common.py, scripts/discover_workspace_ipc.py, scripts/extract_function_data.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/decompiled-code-extractor/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Decompiled Code Extractor

Purpose

Extract structured function data from DeepExtractIDA analysis databases. This skill provides the core scripts for locating module databases, listing and searching functions, and extracting complete per-function records. It is the foundational data-access layer that nearly every other skill depends on.

The scripts do not perform any analysis, lifting, or rewriting. They are purely data retrieval tools.

When NOT to Use

  • Classifying functions by purpose or triaging a module -- use classify-functions
  • Understanding what a function does (explanation, not raw data) -- use re-analyst or /explain
  • Tracing call chains or cross-module execution paths -- use callgraph-tracer
  • Scanning for vulnerabilities in extracted code -- use ai-memory-corruption-scanner or ai-logic-scanner
  • Lifting or rewriting decompiled code to readable C++ -- use the code-lifter agent

Data Sources

Finding a Module DB

python .claude/skills/decompiled-code-extractor/scripts/find_module_db.py --list
python .claude/skills/decompiled-code-extractor/scripts/find_module_db.py appinfo.dll

Locating the Target Function

Functions come from two sources:

1. Generated .cpp files in extracted_code/{module}/:

  • Class methods: {module}_{ClassName}_group_{N}.cpp
  • Standalone: {module}_standalone_group_{N}.cpp
  • Each function has a comment header: // Function Name:, // Mangled Name:, // Function Signature (Extended):, // Function Signature:

2. SQLite databases in extracted_dbs/ (preferred -- contains assembly):

  • Use the utility scripts in scripts/ to extract function data
  • Each function record has decompiled_code, assembly_code, signatures, xrefs, strings, and more

3. Function index (fastest): python .claude/skills/function-index/scripts/lookup_function.py <name> resolves the function name to its .cpp file path across all modules. Use --app-only to skip library boilerplate.

Read the full file on GitHub · 204 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 204 lines · 89 tokens per session scan A 91e6abbbffd0

Subscribe to this mod's changes

decompiled-code-extractor is a skill published in the GitHub repository marcosd4h/DeepExtractRuntime (20 stars, last pushed 3mo ago), licensed MIT. It adds 89 tokens to every session and 1,924 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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