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Fuzzing Dictionary

Checked
trailofbits·vlatest·other·CC-BY-SA-4.0

This skill generates a custom dictionary of words for use in fuzzing attacks, accelerating vulnerability discovery by targeting specific word patterns.

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 trailofbits/skills --skill fuzzing-dictionary -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

trailofbits

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 trailofbits/skills at 82fe822625.

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

Scanned
2 files, 275 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 provides access to a dictionary of words and phrases used in security fuzzing. It allows AI agents to generate more targeted and effective test inputs when performing automated vulnerability discovery. The skill can be used to expand the vocabulary of an agent or provide specific wordlists for particular testing scenarios.

When to use it

  • Generating payloads for web application penetration testing.
  • Creating test cases for network protocol fuzzing.
  • Expanding the input variations during binary instrumented fuzzing.
  • Developing custom security tools that require diverse and realistic inputs.

Key capabilities

  • Provides a pre-built dictionary of common attack strings.
  • Can be integrated into existing fuzzing workflows.
  • Supports various data formats for wordlists (likely text files).

Example prompts

  • "Generate 10 payloads using the provided fuzzing dictionary."
  • "Expand this input string with words from the security fuzzing vocabulary: 'user=.'"
  • “Give me a list of common SQL injection keywords.”

Tips & gotchas

The effectiveness of this skill depends on the quality and relevance of the included wordlist. Ensure that the selected dictionary aligns with the specific vulnerabilities you are targeting for optimal results.