cyber-rea-reverse-engineering

cyber-rea-reverse-engineering is a skill for Claude Code, Codex from HoangNguyen0403/agent-skills-standard. It costs 62 tokens per session (1,156 once invoked), scanned A, original, MIT.

A controlled workflow for examining supplied binaries, JavaScript bundles, archives, Electron apps, or runtime evidence without needing the original source code.

In plain words
What is it for?
Use it to decompile or inspect shipped artifacts, verify their recorded identity, and report whether the approved analysis path is available.
Why use it?
It preserves where artifacts came from, limits what may be changed, and provides an offline fallback when the optional reverse-engineering driver is unavailable.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to decompile or inspect shipped artifacts, verify their recorded identity, and report whether the approved analysis path is available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hoangnguyen0403/agent-skills-standard/cyber-rea-reverse-engineering
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.

Any agent
npx skills add HoangNguyen0403/agent-skills-standard --skill cyber-rea-reverse-engineering
Clone the repo
git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standard

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cyber-rea-reverse-engineering

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/cyber-rea-reverse-engineering/github.svg)](https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/cyber-rea-reverse-engineering)
Your own site
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/cyber-rea-reverse-engineering"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/cyber-rea-reverse-engineering/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cyber-rea-reverse-engineering

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/cyber-rea-reverse-engineering"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/cyber-rea-reverse-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,156 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00062 $0.01156
Opus 5.5 $0.00025 $0.00462
Sonnet 5.5 $0.00012 $0.00231
Haiku 4.5 $0.00006 $0.00116

Measured yesterday against content hash c44adc9e4446, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cyber-rea-reverse-engineering 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 yesterday.

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.

.agents/skills/cybersecurity/cyber-rea-reverse-engineering/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cyber REA Reverse Engineering

Priority: P1 (HIGH)

Use REA only when its evidence answers the question; an absent driver blocks one evidence lane, not the task.

Activation

Keywords rea, rea mcp, reverse-engineer-anything, shipped artifact, decompile binary, static javascript analysis, electron app analysis. Skip a complete source repository that already answers the question.

Driver Ladder

  1. Record authorization: target path, read-only or mutation authority, accountable owner, window, and exclusions.
  2. Prefer a connected REA MCP whose artifact identity matches the consuming project's recorded source revision and trusted SHA-256. A version string is not identity.
  3. Otherwise verify and restore the retained bundle into a dedicated <INSTALL_DIR>, then use its scripts/rea.mjs through the environment-clearing launcher. Setup: references/setup.md.
  4. No REA, unsupported host or Node, unverified identity, or launcher mismatch: analyze supplied files offline with read-only local tools and label the lane driver: none; do not edit the consumer's MCP config.
  5. Nothing usable: return BLOCKED (driver: rea) for that lane and continue independent work.

Workflow

  1. Bind the target to an authorized, operator-supplied local path; never discover targets.
  2. Preflight the consumer approval record, obtain the trusted manifest SHA-256 out-of-band, verify the bootstrap archive digest before extracting it, run verify and restore with --manifest-sha256 from <TRUSTED_TOOLS>, then launch. Version 6.7.0 is compatibility metadata, not approval.
  3. Route by target: JavaScript/ASAR -> static application analysis; archive/package -> binary inventory; native code -> configured provider; browser runtime -> separate explicit approval.
  4. Analyze read-only first. Extraction, patching, execution, injection, install, or any target mutation requires separate explicit authority.
  5. Record evidence with tool and version, source, observed_at, target identity or digest when available, findings, limitations, and unknowns.
  6. Keep limitations attached: static analysis is not runtime proof, and a missing provider affects only the operations that need it.

Read the full file on GitHub · 70 lines

Files

What ships with it

2 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. yesterday First seen · 70 lines · 62 tokens per session scan A c44adc9e4446

Subscribe to this mod's changes

cyber-rea-reverse-engineering is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (582 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 1,156 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-27.

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