reverse-skill
reverse-skill Explained: Routing Authorized Security Research Tasks
A source-backed guide to reverse-skill's AI skill router, tool-index workflow, evidence model, and authorization boundaries.
What you will learn
- Describe the rules-to-report routing pipeline
- Bootstrap and inspect a platform tool index
- Design an authorized, evidence-preserving sandbox case
Before you start
- Basic Git and command-line usage
- Comfort reading a project README
You can explain the project, run its documented first step, and decide what to verify before adopting it.
Key takeaways
- reverse-skill routes security tasks through explicit rules, tool discovery, and scenario playbooks.
- Case initialization and Evidence→Finding→Path artifacts make authorization and reasoning visible.
- Human review and written scope are mandatory before any live target action.
The short answer
reverse-skill is a client-neutral cybersecurity skills router for AI coding agents. Its README targets APKs, binaries, encrypted frontend JavaScript, PCAPs, CTFs, and authorized penetration tests. Instead of guessing whether a task needs jadx, apktool, Frida, IDA, Ghidra, Burp Suite, or another tool, the package routes the case through explicit rules and scenario skills.
The captured v1.0.1 README reports 43 routing rules, 173 regression cases, and 44 tracked modules. Those numbers describe the project's current benchmark snapshot, not a guarantee that every tool is installed or every target is in scope. The central safety idea is to establish authorization and network profile before any target action, then preserve a timeline and evidence-to-finding path.
Install and initialize a case
The documented start is to clone the repository, refresh the tool index with the Windows PowerShell or Linux/macOS shell script, and inspect skills/tool-index.md. Prerequisites include a JDK for jadx/apktool, Node.js 22.12 or newer for JavaScript and MCP tooling, Python 3.x for Frida helpers, and a compatible agent client.
A safe first run should be a local sample or CTF target. Begin with RULES.md and the MASTER-ROUTING path, initialize a case with scope.md containing authorization and network_profile, and do not mark the target active until those fields are ready. Record the commit, detected tools, command lines, and hashes of collected artifacts so another analyst can reproduce the report.
The routing architecture
The README's flow is deliberately staged: user task to rules, then primary routing, case initialization, scenario skill, tools/MCP/scripts, and finally timeline plus Evidence→Finding→Path reporting. A structured configuration drives the routing core, while optional client adapters remain separate. This separation lets the same methodology run from Claude Code, Codex, Cursor, OpenCode, or another supported client.
The tool index is a capability discovery layer, not an automatic permission grant. A missing binary should produce a controlled fallback or a documented blocker, not a silent switch to a more invasive command. Keep network access explicit, isolate secrets, and review generated commands before execution—especially when a skill can attach to a process, decompile a private application, or send traffic to a live host.
When reverse-skill is a good fit
Use reverse-skill for repeatable, authorized security research where analysts need a common playbook, tool bootstrap, and evidence trail across machines and AI clients. It can reduce the cognitive load of choosing a methodology and make handoffs easier because the case scope, timeline, findings, and field journal are explicit artifacts.
Do not use it to probe systems without written authorization, evade access controls, harvest personal data, or turn an AI guess into an unreviewed exploit. Treat the MIT-licensed package as a workflow aid: pin the release, audit scripts and MCP servers, run regression cases in a sandbox, and require a human sign-off before any action against a real target.
Decision guide
| Criterion | Option A | Option B |
|---|---|---|
| Best when | You need predictable behavior and easy auditing | You need adaptive optimization and have reliable telemetry |
| Main risk | May leave performance on the table | Can become difficult to explain or debug |
Implementation steps
- 1
Clone a pinned release and read RULES.md, MASTER-ROUTING, and the safety docs.
- 2
Refresh the platform tool index and inspect detected versions and missing capabilities.
- 3
Initialize a sandbox case with scope.md, authorization, and network_profile before target work.
- 4
Run a regression/sample task, preserve the timeline and evidence, and review every command.
Copy-ready example
git clone https://github.com/zhaoxuya520/reverse-skill.git
cd reverse-skill
powershell -File skills/scripts/refresh-tool-index.ps1
Get-Content skills/tool-index.md
# Initialize an authorized sandbox case before any target action.Frequently asked questions
Is reverse-skill an exploit kit?
The repository presents itself as a routing and workflow package. It still references powerful analysis tools, so authorization, scope, and human review remain essential.
Which AI clients are supported?
The README names Claude Code, Codex, Cursor, OpenCode, and other compatible clients; verify adapter behavior and tool availability for the client and release you run.
Sources
- reverse-skill README (captured 2026-08-31)Source checked 2026-08-31
- reverse-skill repositorySource checked 2026-08-31