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Honest Code Review

Checked
kunickiaj·vlatest·backend·MIT

Analyzes backend code for potential bugs, security vulnerabilities, and style inconsistencies with clear, unbiased explanations.

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 kunickiaj/honest-agents --skill honest-code-review -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

kunickiaj

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 kunickiaj/honest-agents at 5c6c7bf097.

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

Commit
5c6c7bf097
Manifest
skills/honest-code-review/SKILL.md
Scanned
1 file, 177 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 automated code review capabilities, identifying potential issues and suggesting improvements. It analyzes code for common errors, style inconsistencies, and security vulnerabilities. The goal is to improve code quality and reduce technical debt through consistent feedback.

When to use it

  • Reviewing pull requests before merging into a main branch.
  • Analyzing new feature implementations for adherence to coding standards.
  • Identifying potential security flaws in newly written or modified code.
  • Automating initial code review tasks, freeing up human reviewers for more complex issues.

Key capabilities

  • Automated code analysis
  • Identification of common errors
  • Style consistency checks
  • Security vulnerability detection

Example prompts

  • "Review this Python code snippet and identify any potential bugs."
  • "Analyze this JavaScript file for style inconsistencies with the Airbnb coding standard."
  • "Perform a security review on this Go function, looking for common vulnerabilities."

Tips & gotchas

The skill's effectiveness depends on providing well-formatted and complete code snippets. It is best used as an initial screening tool; human oversight remains crucial for complex or nuanced issues.