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Code Doubter

Checked
reminiscent-io·vlatest·other

Code Doubter analyzes your code for potential errors and inefficiencies, boosting reliability and helping you write cleaner, more robust programs.

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 reminiscent-io/wanderluxe --skill code-doubter -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

reminiscent-io

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 reminiscent-io/wanderluxe at 7b8053ffc9.

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

Commit
7b8053ffc9
Manifest
.claude/skills/code-doubter/SKILL.md
Scanned
1 file, 143 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 code-doubter skill helps AI agents critically evaluate generated code. It encourages a more cautious and thoughtful approach to coding tasks by prompting reflection on potential errors or edge cases. This leads to higher quality, more reliable code through iterative refinement and self-assessment.

When to use it

  • Complex Coding Tasks: When the agent is generating significant blocks of code that require careful consideration.
  • Error-Prone Scenarios: When dealing with areas known for common coding mistakes (e.g., financial calculations, data parsing).
  • Production Code Generation: Before deploying any generated code to a live environment.
  • Learning and Debugging: To help the agent learn from its mistakes by prompting self-reflection on potential issues.

Key capabilities

  • Critical code evaluation
  • Error identification
  • Edge case consideration
  • Iterative refinement

Example prompts

  • "Review this Python function for potential errors."
  • "Can you think of any edge cases that would break this JavaScript code?"
  • "Evaluate the security implications of this SQL query."

Tips & gotchas

The effectiveness of code-doubter depends on the agent's existing coding abilities. It is most useful when paired with an agent already capable of generating functional code, as it focuses on improving that code rather than creating it from scratch.