Analyze Rust Ffi Crate Surface
CheckedHelps with analysis, Rust as part of developing backend services and APIs workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add redisearch/redisearch --skill analyze-rust-ffi-crate-surface -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
redisearch
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned redisearch/redisearch at c8f9d94e77.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c8f9d94e77
- Scanned
- 1 file, 37 lines
About this skill
What it does
This skill analyzes Rust Foreign Function Interface (FFI) crates or files to identify C-visible symbols and determine their usage within a C codebase. It compiles a list of these symbols, such as functions annotated with #[unsafe(no_mangle)] or type definitions, and then identifies which modules in the C code utilize them. The skill leverages auto-generated header files for assistance when available.
When to use it
- When integrating Rust code into existing C/C++ projects via FFI.
- To understand how specific Rust functions or types are being used within a larger C codebase.
- During refactoring or maintenance of systems that combine Rust and C components.
- To verify the correctness of generated header files for FFI interfaces.
Key capabilities
- Identifies C-visible symbols (functions, types) in Rust FFI crates/files.
- Determines which modules in a C codebase use those symbols.
- Generates reports detailing symbol name, usage module(s), and type.
- Distinguishes between symbols used in production code versus unit tests.
- Utilizes auto-generated header files (located in
src/redisearch_rs/headers) for analysis.
Example prompts
- "Analyze the
numeric_range_tree_fficrate to identify all exposed FFI symbols and their usage." - "What C modules use the function defined in
src/redisearch_rs/c_entrypoint/some_file.rs?" - "Generate a report for the
src/redisearch_rs/another_file.rsfile, listing all FFI symbols and their usage locations."
Tips & gotchas
- Paths to Rust files should typically start with
src/. If not, the skill assumes they are located within thesrc/redisearch_rs/c_entrypointdirectory. - If a directory is provided as input, the skill will review all Rust files within that directory.
- Auto-generated header files in
src/redisearch_rs/headerscan be helpful resources during analysis.