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Channel Pacing Guardrails

Checked
gtmagents·vlatest·other·Apache-2.0

This skill ensures consistent channel pacing by monitoring and adjusting response lengths, improving conversational flow and user experience.

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 gtmagents/gtm-agents --skill channel-pacing-guardrails -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

gtmagents

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 gtmagents/gtm-agents at 78e0419f44.

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

Commit
78e0419f44
Manifest
plugins/marketing-analytics/skills/channel-pacing-guardrails/SKILL.md
Scanned
1 file, 32 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 channel-pacing-guardrails skill helps AI agents manage and control the rate at which they output information, preventing overwhelming users or exceeding resource limits. It provides mechanisms to throttle responses based on channel type (e.g., chat vs. email) and enforce guardrails to ensure appropriate pacing. This ensures a more user-friendly and efficient interaction experience.

When to use it

  • Chatbots: To prevent rapid-fire responses that can be confusing or annoying for users in a conversational setting.
  • Email Automation: To avoid sending large volumes of emails at once, which could trigger spam filters or overload recipients' inboxes.
  • API Integrations: When interacting with external APIs that have rate limits, to ensure the agent doesn’t exceed those limits and get blocked.
  • Long-Form Content Generation: To control the speed at which a large document is presented to a user, improving readability and comprehension.

Key capabilities

  • Channel-specific pacing rules
  • Rate limiting based on channel type
  • Guardrail enforcement for response frequency
  • Configurable throttling parameters

Example prompts

  • "Slow down the responses when interacting with users via chat."
  • "Apply a rate limit of 5 emails per minute to prevent spam complaints."
  • "Ensure that no more than one API request is made every two seconds."

Tips & gotchas

The skill's effectiveness depends on accurate channel identification. Incorrectly classifying a communication channel can lead to unintended pacing behavior.