android-reverse-engineering-claude-skill: Claude Code skill that automates Android application reverse engineering

by incogbyte · Claude Skill · ★ 105

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install android-reverse-engineering-claude-skill

/plugin marketplace add incogbyte/android-reverse-engineering-claude-skill
/plugin install android-reverse-engineering@android-reverse-engineering-claude-skill

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-toolsandroidclaude-skillspentestreverse-engineering

Quick Facts

Stars105
Forks20
LanguageShell
CategoryClaude Skill
LicenseUnlicense
Quality Score72/100
Last Updated2026-06-20
Created2026-03-09
Platformsclaude-code, cli
Est. Tokens~10k

About android-reverse-engineering-claude-skill

Android Reverse Engineering - Claude Code Skill Author: incogbyte Claude Code skill that automates Android application reverse engineering. Decompiles APK, XAPK, AAB, DEX, JAR, and AAR files, extracts HTTP endpoints (Retrofit, OkHttp, Volley, GraphQL, WebSocket), traces call flows, analyzes security patterns, documents discovered APIs, and performs adaptive dynamic analysis with Frida —...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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