Transform and analyze binary, encoded, and obfuscated data via pipeable CLI applets.
npx skills add https://github.com/trou/rsbkb --skill rsbkb-rust-blackbag
Please help me install this Agent Skill. Skill: rsbkb (Rust BlackBag) Source: https://github.com/trou/rsbkb/tree/main Command: npx skills add https://github.com/trou/rsbkb --skill rsbkb-rust-blackbag
It solves the problem of manually transforming and analyzing encoded or binary data by providing fast, chainable command-line applets.
Use the rsbkb (Rust BlackBag) skill to decode an obfuscated blob by piping it into the right applet (for example, hex to bytes, then XOR, then base64, then URL-encode).
High-intent search queries and answers about installing and using this skill.
By chaining pipe-ready CLI applets, you can decode obfuscated binary data through sequential transformations like hex to bytes, XOR deobfuscation, and base64 decoding. This pipe-friendly approach allows rapid normalization of payloads directly in the terminal.
Calculating binary entropy is done through a specialized pipe-ready CLI applet designed for binary analysis. It computes the entropy of piped data or file arguments to help identify packed, encrypted, or compressed sections during reverse engineering workflows.
Yes, you can generate buffer overflow patterns and calculate their offsets using dedicated CLI applets. These tools derive offset values from raw data arguments or piped stdin, streamlining exploit development and forensic analysis.
You can XOR decode a binary file by passing it to a CLI applet that accepts inline keys or key files as arguments. The applet applies deterministic XOR transformation logic to the input data and outputs the deobfuscated result via stdout.
Yes, the tool supports slicing byte ranges from piped binary data like a pipe-friendly version of dd. It extracts specific byte ranges from stdin or positional file arguments to isolate relevant payload sections for further analysis.
You need raw inflate and deflate compression handling when analyzing binary payloads with embedded Zlib data, optionally including or excluding Zlib headers. This allows forensic workflows to decompress raw data streams directly from piped input.
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