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Token Efficiency

Checked
delphine-l·vlatest·security

Optimizes token usage by intelligently managing prompt lengths for faster and more cost-effective AI interactions.

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 delphine-l/claude_global --skill token-efficiency -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

delphine-l

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 delphine-l/claude_global at 71c292e8aa.

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

Scanned
5 files, 2,322 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 token-efficiency skill optimizes how AI agents use tokens during processing, reducing unnecessary consumption and improving performance. It ensures that prompts are structured in a way that maximizes clarity while minimizing input size, which is especially useful when working with models that have strict token limits.

When to use it

  • When you're working within tight token budgets and need to maximize output without exceeding limits.
  • When refining prompts for better model performance without increasing complexity or cost.
  • When optimizing interactions in low-bandwidth environments where efficiency matters most.

Key capabilities

  • Reduces redundant tokens in prompts
  • Improves clarity while minimizing input size
  • Enhances model response quality within token constraints

Example prompts

  • "Simplify this prompt to use fewer tokens without losing meaning."
  • "Optimize the following query for better token efficiency."
  • "Analyze and reduce unnecessary words in this instruction."

Tips & gotchas

  • Always review optimized prompts to ensure they still convey the intended message.
  • This skill works best when used alongside tools that monitor token usage in real time.