super-trouper: MCP server for Frida

by crissyfield · MCP Server · ★ 60

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

How to install super-trouper

brew install --cask crissyfield/tap/super-trouper
npm install -g @crissyfield/super-trouper

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 68/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

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.

application-securityfridaios-securitymcpmobile-securitymodel-context-protocolpentestingreverse-engineering

Quick Facts

Stars60
Forks1
LanguageGo
CategoryMCP Server
LicenseMIT
Quality Score68/100
Last Updated2026-10-21
Created2026-09-01
Platformsgo, mcp
Est. Tokens~16k

About super-trouper

Super Trouper An MCP server for the Frida reverse engineering toolkit. Super Trouper runs an MCP server over that exposes Frida capabilities as tools for coding agents. It can connect to local, USB, and remote devices; inspect applications and processes; manage process sessions; and load, evaluate, and exchange messages with JavaScript instrumentation scripts.

Compatible Skills

These tools work well together with super-trouper for enhanced workflows:

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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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