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Address Sanitizer

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

Detects memory errors (use-after-free, heap buffer overflows) in C/C++ code during testing, preventing production bugs.

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 address-sanitizer -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, 313 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

The address-sanitizer skill provides capabilities related to sanitizing and validating addresses. It likely involves parsing, cleaning, and standardizing address data to ensure accuracy and consistency. This can include correcting typos, filling in missing information, and converting addresses into a standardized format.

When to use it

  • Data Entry Validation: Automatically clean and validate addresses entered by users on forms or through APIs.
  • Mail Campaign Preparation: Sanitize address lists before sending out mail campaigns to reduce delivery failures.
  • Geocoding Preprocessing: Clean addresses prior to geocoding them into latitude/longitude coordinates for mapping applications.
  • Data Migration & Integration: Standardize addresses during data migration or integration projects from different sources.

Key capabilities

  • Address parsing
  • Address cleaning
  • Address standardization
  • Typo correction (likely)
  • Missing information filling (likely)

Example prompts

  • "Sanitize this address: 123 Main St, Anytown, CA 91234."
  • "Clean and standardize the following addresses from a CSV file."
  • "Correct any typos in this list of customer addresses."

Tips & gotchas

The skill's effectiveness depends on the quality and format of the input address data. It may require some initial configuration or training to achieve optimal results for specific regional address formats.