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Greenlight

Checked
revylai·vlatest·other·MIT

Greenlight swiftly generates diverse, high-quality creative prompts for writing and brainstorming, boosting your content creation workflow.

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 revylai/greenlight --skill greenlight -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

revylai

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 revylai/greenlight at fcb36e395b.

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

Commit
fcb36e395b
Manifest
skills/greenlight/SKILL.md
Scanned
1 file, 127 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 greenlight skill provides a mechanism to approve or reject requests. It can evaluate incoming prompts based on predefined criteria and return either an approval ("greenlight") or rejection ("redlight"). This allows for controlled access to downstream tools or actions, ensuring only appropriate requests proceed.

When to use it

  • Content moderation: Filter user-generated content before it's published online.
  • API request validation: Ensure API calls meet specific requirements and prevent malicious activity.
  • Workflow automation control: Gate automated processes based on dynamic conditions or approval steps.
  • Financial transaction authorization: Verify the legitimacy of financial requests before processing them.

Key capabilities

  • Request evaluation
  • Approval/rejection determination
  • Criteria-based filtering
  • "Greenlight" and "redlight" response signaling

Example prompts

  • “Evaluate this user comment: 'This is a great article!'”
  • “Is this API request valid? Request details: {parameters}”
  • “Approve or reject this purchase order based on the following criteria: [criteria list]”

Tips & gotchas

The skill's effectiveness depends heavily on well-defined evaluation criteria. Insufficiently clear criteria can lead to inaccurate approvals/rejections, requiring careful tuning and testing.