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Fix Review

Listed
sickn33·vlatest·security·MIT

Analyzes code for potential vulnerabilities and suggests remediation steps based on common security best practices.

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 sickn33/agentic-awesome-skills --skill fix-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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/fix-review/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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

The fix-review skill provides a mechanism for AI agents to critique and refine existing solutions, ensuring higher quality outputs before final execution. It enables agents to analyze code or logic, identify potential errors, and suggest improvements based on best practices.

When to use it

  • Before deploying critical scripts to production environments to catch edge cases early.
  • When an agent generates a complex solution that requires peer review for accuracy.
  • To validate logic flow in automated workflows before they run against live data.
  • During the debugging phase to systematically analyze why a previous attempt failed.

Key capabilities

  • Performs detailed static analysis of provided code or logic structures.
  • Identifies logical inconsistencies, syntax errors, and security vulnerabilities.
  • Generates specific recommendations for optimization and refactoring.
  • Offers alternative approaches to solve identified problems more efficiently.

Example prompts

  • "Review this Python script for potential race conditions and suggest fixes."
  • "Critique the logic in this database migration plan and highlight any risks."
  • "Analyze the following API integration code for error handling gaps."

Tips & gotchas

Ensure the input provided to the skill is complete and contextually clear, as missing dependencies may lead to incomplete reviews. This skill acts as a validator rather than an autonomous executor; human oversight is still recommended for high-stakes decisions.