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ivangdavila

Reverse Engineering

by Iván · GitHub ↗ · v1.0.0 · MIT-0
linuxdarwinwin32 ✓ Security Clean
738
Downloads
3
Stars
7
Active Installs
1
Versions
Install in OpenClaw
/install reverse-engineering
Description
Reverse engineer binaries, APIs, protocols, and workflows with evidence ladders, interface maps, and falsifiable hypotheses.
Usage Guidance
This skill appears coherent and reasonable. Before installing, confirm you are comfortable with the agent creating a ~/reverse-engineering/ workspace and storing notes there, and never provide credentials or access to production systems unless you explicitly authorize a specific, narrowly scoped, safe step. Remember reverse engineering can be dual‑use—only use this on targets you are authorized to analyze and keep sensitive samples local unless you explicitly approve sharing them.
Capability Analysis
Type: OpenClaw Skill Name: reverse-engineering Version: 1.0.0 The 'reverse-engineering' skill bundle is a well-structured framework designed to guide an AI agent through forensic analysis of binaries, APIs, and protocols. It emphasizes a rigorous methodology (the TRACE protocol in protocol.md) and an evidence-based confidence model (evidence-ladder.md). Critically, the bundle includes strong safety guardrails in boundaries.md and SKILL.md, explicitly instructing the agent to prioritize authorized access, prefer offline copies, and avoid invasive actions or credential theft. There is no evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name and description match the actual contents: a structured reverse‑engineering method, templates, and guidance. Requested resources (a local workspace ~/reverse-engineering/) are proportional to the purpose.
Instruction Scope
SKILL.md and supporting files prescribe read-only-first rules, explicit user approval before invasive or credential-bearing steps, and local-only storage by default. There are no instructions to read unrelated system files, contact external endpoints, or exfiltrate data.
Install Mechanism
No install spec or code files that would write or execute code on disk; this is instruction-only, which minimizes risk and is appropriate for the stated purpose.
Credentials
The skill declares no required environment variables, binaries, or credentials. The only persistent artifact is an optional local workspace (~/reverse-engineering/) which the skill explicitly asks permission to create and populate.
Persistence & Privilege
The skill stores durable notes and session files in a single user-controlled directory and requires confirmation before the first persistent write. always is false and there is no attempt to modify other skills or global agent settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install reverse-engineering
  3. After installation, invoke the skill by name or use /reverse-engineering
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Adds a structured reverse engineering workflow with evidence tracking, interface mapping, and safer uncertainty handling.
Metadata
Slug reverse-engineering
Version 1.0.0
License MIT-0
All-time Installs 7
Active Installs 7
Total Versions 1
Frequently Asked Questions

What is Reverse Engineering?

Reverse engineer binaries, APIs, protocols, and workflows with evidence ladders, interface maps, and falsifiable hypotheses. It is an AI Agent Skill for Claude Code / OpenClaw, with 738 downloads so far.

How do I install Reverse Engineering?

Run "/install reverse-engineering" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Reverse Engineering free?

Yes, Reverse Engineering is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Reverse Engineering support?

Reverse Engineering is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).

Who created Reverse Engineering?

It is built and maintained by Iván (@ivangdavila); the current version is v1.0.0.

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