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Context Optimization

Checked
athola·vlatest·other·MIT

Athola's athola-context-optimization refines prompts to maximize relevant information retrieval and response quality from AI models.

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 athola/claude-night-market --skill context-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

athola

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 athola/claude-night-market at 9045831255.

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

Commit
9045831255
Manifest
plugins/conserve/skills/context-optimization/SKILL.md
Scanned
10 files, 2,026 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 athola-context-optimization skill refines the context provided to AI agents, improving response quality and relevance. It intelligently prunes irrelevant information while preserving crucial details, leading to more focused and efficient interactions. This results in faster processing times and more accurate outputs from the agent.

When to use it

  • Long Context Windows: When dealing with lengthy documents or conversations where only a portion is truly relevant.
  • Improved Accuracy: To reduce noise and improve the accuracy of AI-generated responses by focusing on key information.
  • Faster Response Times: By reducing the amount of data processed, this skill can speed up response generation.
  • Complex Tasks: When an agent needs to perform a task requiring precise understanding of a large context.

Key capabilities

  • Context Pruning: Removes irrelevant or redundant information from input contexts.
  • Relevance Preservation: Ensures critical details are retained during optimization.
  • Efficiency Enhancement: Reduces processing load, leading to faster response times.

Example prompts

  • "Optimize this document for a summary about the key financial results."
  • "Refine this conversation history before providing an answer to the user's question."
  • "Please shorten this context while maintaining the core instructions."

Tips & gotchas

The effectiveness of this skill depends on the quality and clarity of the initial context provided. Experiment with different levels of optimization to find the balance between brevity and information retention for your specific use case.