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Hook Optimization

Checked
duongdev·vlatest·other·MIT

Refines email subject lines and call-to-action phrasing to maximize open rates and engagement.

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 duongdev/ccpm --skill hook-optimization -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

duongdev

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 duongdev/ccpm at 7f96a681a9.

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

Scanned
1 file, 794 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, hook-optimization, likely helps improve the efficiency and performance of AI agents by optimizing how they interact with external tools or APIs (the "hooks"). It aims to reduce latency and resource consumption when calling these hooks. The specific optimization techniques employed are not detailed in the provided source.

When to use it

  • When an agent is experiencing slow response times due to frequent hook calls.
  • To minimize costs associated with API usage, especially for pay-per-call services.
  • For agents that need to operate within strict resource constraints (e.g., on a mobile device).
  • When debugging performance bottlenecks in an AI agent workflow involving multiple hooks.

Key capabilities

  • Hook optimization
  • Performance improvement
  • Resource reduction
  • Latency mitigation

Example prompts

  • "Optimize the hook calls for my travel planning agent."
  • "Can you analyze and improve the efficiency of my data extraction workflow?"
  • "Reduce the API costs associated with my summarization agent."

Tips & gotchas

The specific optimization techniques used by this skill are not detailed. It's recommended to monitor performance metrics before and after applying the skill to quantify its impact.