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Performance Tracking

Checked
gtmagents·vlatest·devops·Apache-2.0

Gtmagents' performance-tracking monitors key metrics, providing actionable insights to optimize workflows and improve outcomes.

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 performance-tracking -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/campaign-orchestration/skills/performance-tracking/SKILL.md
Scanned
1 file, 33 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 allows an AI agent to track and report on its own performance metrics. It can monitor things like task completion time, error rates, and resource utilization. The tracked data is then presented in a structured format suitable for analysis and optimization of the agent's workflow.

When to use it

  • Debugging slow processes: Identify bottlenecks by tracking how long specific tasks take to complete.
  • Monitoring error frequency: Pinpoint areas where errors are occurring most often, allowing for targeted improvements.
  • Resource Optimization: Track resource usage (e.g., API calls) to identify opportunities for cost savings or efficiency gains.
  • Evaluating new strategies: Measure the impact of changes to an agent's behavior by tracking key performance indicators before and after implementation.

Key capabilities

  • Performance metric tracking
  • Structured data reporting
  • Error rate monitoring
  • Task completion time measurement

Example prompts

  • "Track how long it takes me to summarize articles."
  • "Report the error rate when processing customer support requests."
  • "Show me a graph of my API call usage over the last hour."

Tips & gotchas

The skill's effectiveness relies on clear definition of what constitutes a "task" or "process". Ambiguous task definitions will lead to inaccurate performance tracking.