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Debug Fuzzer Failure

Checked
noir-lang·vlatest·testing·Apache-2.0

Identifies root causes of fuzzer crashes in noir-lang programs, accelerating bug fixes and improving code stability.

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 noir-lang/noir --skill debug-fuzzer-failure -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

noir-lang

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 noir-lang/noir at 6ef39c9efe.

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

Commit
6ef39c9efe
Manifest
.claude/skills/debug-fuzzer-failure/SKILL.md
Scanned
1 file, 72 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 analyzes fuzzer failure reports to identify potential root causes and suggest debugging steps. It parses error messages, stack traces, and other relevant data from fuzzing tools like AFL or libfuzzer. The goal is to accelerate the debugging process by providing actionable insights into why a program crashed during fuzzing.

When to use it

  • You're encountering crashes while fuzzing your application and need help understanding the cause.
  • Debugging complex, intermittent issues revealed through fuzzing is proving difficult.
  • You want to automate the initial triage of fuzzer crash reports.
  • You have a large volume of fuzzer failures that require analysis.

Key capabilities

  • Parses AFL and libfuzzer error messages.
  • Identifies potential root causes from stack traces.
  • Suggests debugging steps based on the failure report.

Example prompts

  • "Analyze this fuzzing crash report: [paste crash report here]"
  • "What might be causing this error? [paste error message and stack trace]"
  • "Can you suggest debugging steps for this fuzzer failure?"

Tips & gotchas

The quality of the analysis depends heavily on the clarity and completeness of the provided fuzzer failure reports. Ensure that all relevant information, including error messages and stack traces, is included in the prompt.