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Escalation

Checked
gtmagents·vlatest·agents·Apache-2.0

The Escalation skill automatically flags complex customer interactions needing human attention, improving resolution rates and reducing agent workload.

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 escalation -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.

Scanned
1 file, 31 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

This skill, gtmagents-escalation, facilitates escalating conversations or tasks to a human agent. It intelligently identifies situations requiring human intervention and seamlessly transfers the context for efficient handling. The skill aims to improve customer satisfaction by ensuring complex issues are addressed by skilled professionals.

When to use it

  • When an AI agent encounters a situation outside its capabilities, such as a highly technical or emotionally charged query.
  • For tasks that require human judgment or decision-making, like approving refunds or handling legal inquiries.
  • To proactively escalate conversations based on pre-defined criteria (e.g., multiple failed attempts to resolve an issue).
  • When a customer explicitly requests to speak with a human agent.

Key capabilities

  • Intelligent escalation triggers
  • Contextual data transfer to human agents
  • Seamless conversation handover

Example prompts

  • "Escalate this chat to a human."
  • "I need to talk to someone about my account."
  • "This issue is too complex for the chatbot to handle; please escalate."

Tips & gotchas

The effectiveness of this skill depends on clearly defined escalation triggers and proper configuration within your AI agent platform. Ensure that the context being transferred to human agents is comprehensive and actionable.