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egorfedorov/claude-context-optimizer123 installs

cco-pack

Build an optimal context pack for the user's task — ranked file list with offset/limit suggestions, based on git state, mentioned paths, and historical patterns

How do I install this agent skill?

npx skills add https://github.com/egorfedorov/claude-context-optimizer --skill cco-pack
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill helps the AI agent build a curated context pack by ranking project files based on git state, historical usage, and relevance to a task. It uses a local Node.js script to perform the analysis. The security analysis identified a potential surface for indirect prompt injection because the skill processes untrusted project data (file contents and git history), which is a standard risk for repository analysis tools.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

Smart Context Pack

When the user runs /cco-pack or asks "what files do I need for X", build a curated, token-budget-aware list of files to load instead of guessing or reading the whole repo.

How to use

node ${CLAUDE_PLUGIN_ROOT}/src/smart-pack.js "the task description"

Or for the current git state without a description:

node ${CLAUDE_PLUGIN_ROOT}/src/smart-pack.js

Or to feed it back into automation as JSON:

node ${CLAUDE_PLUGIN_ROOT}/src/smart-pack.js --json "..."

How it ranks files

Priority order:

  1. Mentioned in prompt — explicit file paths or recognisable names → relevance 100
  2. Modified in git working tree → 85
  3. Historically useful in this project (high confidence, edited often) → up to 70
  4. Keyword match against the task → up to 70

For each file the pack also suggests offset / limit — pointing at the structurally relevant section based on file landmarks (function/class declarations near task keywords).

Token budget awareness

Pack stops adding files once it would exceed 25% of the user's effective context budget. The budget itself respects the configured model (e.g. the full 1M window for opus-5.5 — 1M is standard on Opus, no premium tier).

Presentation

After running, present the list to the user and offer to:

  • Read the top N files with the suggested offset/limit
  • Save the set as a template (/cco-templates create <name>)
  • Drop low-relevance items if they want a tighter pack

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/egorfedorov/claude-context-optimizer/cco-pack">View cco-pack on skillZs</a>