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Review

Checked
parcadei·vlatest·other·MIT

Analyzes text content to provide concise summaries, sentiment scores, and key topic identification.

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 parcadei/continuous-claude-v3 --skill 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

parcadei

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 parcadei/continuous-claude-v3 at d07ff4b06b.

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

Scanned
1 file, 200 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

The review skill enables AI agents to systematically analyze, critique, and validate outputs against specific criteria. It transforms raw data or generated text into structured feedback by identifying errors, inconsistencies, or areas for improvement based on user-defined rules.

When to use it

  • Validating code snippets for syntax errors before deployment.
  • Checking written content for tone, clarity, and adherence to style guides.
  • Analyzing financial reports or data summaries for logical inconsistencies.
  • Reviewing design mockups against accessibility standards or brand guidelines.

Key capabilities

  • Performs deep analysis of input content to detect flaws.
  • Generates structured critiques based on configurable parameters.
  • Highlights specific areas requiring attention or revision.
  • Supports iterative refinement loops for continuous improvement.

Example prompts

  • "Review this Python script for potential security vulnerabilities and performance bottlenecks."
  • "Analyze the attached marketing email draft for tone consistency and call-to-action clarity."
  • "Critique this project proposal against our internal rubric for feasibility and budget alignment."

Tips & gotchas

Ensure you provide clear, specific criteria or rubrics when initiating a review to guide the agent's focus. Complex reviews may require breaking down large documents into smaller sections for more accurate analysis.