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Cpp Fuzz Testing

Checked
sentenz·vlatest·testing·Apache-2.0

Automates C++ code fuzzing using libFuzzer to identify vulnerabilities and improve software robustness.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add sentenz/skills --skill cpp-fuzz-testing -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

sentenz

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 sentenz/skills at 0414902177.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
0414902177
Manifest
skills/cpp-fuzz-testing/SKILL.md
Scanned
1 file, 30 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill automates fuzz testing of C++ code. It leverages libFuzzer to generate test cases and identify potential vulnerabilities like crashes, memory leaks, or assertion failures. The tool helps improve the robustness and security of C++ applications by uncovering unexpected behavior.

When to use it

  • Security Audits: Integrate into a CI/CD pipeline for automated vulnerability detection during code changes.
  • Regression Testing: Ensure new features haven't introduced regressions in existing, critical code paths.
  • Code Quality Improvement: Proactively identify and fix potential bugs before they reach production.
  • Performance Optimization: Uncover performance bottlenecks triggered by unexpected inputs.

Key capabilities

  • Automated test case generation using libFuzzer.
  • Integration with CI/CD pipelines.
  • Vulnerability identification (crashes, memory leaks).
  • Regression testing support.

Example prompts

  • "Run fuzz testing on the parser module."
  • "Generate a report of all crashes found during fuzzing."
  • "Fuzz test the image_decoder with increased mutation intensity."

Tips & gotchas

  • Requires a C++ codebase and familiarity with libFuzzer concepts.
  • Effective fuzz testing relies on well-defined entry points into the code being tested.