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Review Cycle

Checked
catlog22·vlatest·other·MIT

Automates review cycle tasks like summarizing feedback, identifying trends, and generating action items from collected data.

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 catlog22/claude-code-workflow --skill review-cycle -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

catlog22

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 catlog22/claude-code-workflow at 07491b04ac.

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

Commit
07491b04ac
Manifest
.codex/skills/review-cycle/SKILL.md
Scanned
16 files, 5,152 lines
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 review-cycle skill manages iterative feedback loops within AI agent workflows, ensuring code or output quality through structured review stages. It facilitates continuous improvement by systematically evaluating results against defined criteria before proceeding to the next phase of execution.

When to use it

  • Implementing a multi-stage development process where each step requires validation before moving forward.
  • Ensuring consistent code quality in automated pipelines by integrating human or AI checkpoints.
  • Debugging complex tasks that benefit from incremental refinement rather than single-pass generation.
  • Orchestrating workflows where intermediate outputs must be verified to prevent error propagation.

Key capabilities

  • Executes defined review stages within a workflow sequence.
  • Validates outputs against specific criteria or standards.
  • Triggers subsequent actions only upon successful review completion.
  • Maintains context across multiple iterations of the same task.

Example prompts

  • "Run the review-cycle skill to validate my Python script before deploying it to production."
  • "Initiate a three-stage review process for this design document, checking clarity, logic, and formatting."
  • "Use the review-cycle skill to iteratively refine this SQL query until it meets performance benchmarks."

Tips & gotchas

Ensure your workflow defines clear success criteria for each review stage to avoid ambiguous feedback loops. This skill is most effective when paired with specific validation rules rather than relying solely on general quality checks.