{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/11"},{"label":"Debuggers","url":"https://skillfed.io/packages/category/software-development-debuggers"}],"enrichment":{"capability":"Provides command-line tools for Frida, a dynamic instrumentation framework that lets you inject code and inspect running processes on Windows, macOS, Linux, iOS, and Android.","skillfed_tags":["dynamic-instrumentation","reverse-engineering","security-research"],"use_cases":["Reverse-engineer closed-source mobile or desktop applications by injecting JavaScript to inspect runtime behavior","Trace function calls and system interactions in running processes without recompiling or attaching a traditional debugger","Security research and vulnerability discovery by instrumenting code at runtime to observe data flow and state changes","Automate testing of applications by injecting test code and assertions into live processes","Debug native code in iOS or Android apps by hooking into Objective-C, Swift, Java, or native methods from the command line"],"what_it_does":"frida-tools is a command-line interface to Frida, a dynamic instrumentation engine used to inspect, modify, and inject code into running processes. It works across Windows, macOS, Linux, iOS, and Android, making it useful for security research, reverse engineering, debugging, and runtime analysis. The package depends on frida itself (the core engine), plus colorama, prompt-toolkit, pygments, and websockets for terminal UI and communication.\n\nYou install it to gain access to CLI commands like frida (interactive REPL), frida-ps (list processes), frida-trace (trace function calls), and frida-kill (terminate instrumented processes). It's production-stable and actively maintained, but installation has high friction because frida requires compiled native binaries for your platform.","worth_installing":"Yes, if you need runtime code inspection and injection across multiple platforms. High install friction (native dependencies) and an uncommon license (wxWindows) are real considerations, but the package is production-stable, actively maintained, and has no known vulnerabilities. Start with the official Frida documentation to confirm your use case is supported on your target platform."},"id":"frida-tools","links":{"html":"https://skillfed.io/packages/frida-tools","md":"https://skillfed.io/packages/frida-tools.md","pypi":"https://pypi.org/project/frida-tools/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-25","license_spdx":null,"license_treatment":"unclear","name":"frida-tools","python_support":"unspecified","summary":"Frida CLI tools"},"popularity":{"monthly_downloads":466011,"position":6505,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"14.10.4"}