Agent skill · Code Review & Quality

agent-sort

Build an evidence-backed ecc install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ecc should be trimmed to what a project actually needs instead of loading the full bundle.

mturacgithub.com/mturacGitHub ↗
codexcopilotcursorMIT
Install
npx skills add mturac/everything-openai-codex --skill agent-sort --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/agent-sort/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 84
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Agent Sort Use this skill when a repo needs a project-specific ecc surface instead of the default full install. The goal is not to guess what "feels useful." The goal is to classify ecc components with evidence from the actual codebase. ## When to Use - A project only needs a subset of ecc and full installs are too noisy - The repo stack is clear, but nobody wants to hand-curate skills one by one - A team wants a repeatable install decision backed by grep evidence instead of opinion - You need to separate always-loaded daily workflow surfaces from searchable library/reference surfaces - A repo has drifted into the wrong language, rule, or hook set and needs cleanup ## Non-Negotiable Rules - Use the current repository as the source of truth, not generic preferences - Every DAILY decision must cite concrete repo evidence - LIBRARY does not mean "delete"; it means "keep accessible without loading by default" - Do not install hooks, rules, or scripts that the current repo cannot use - Prefer ecc-native surfaces; do not introduce a second install system ## Outputs Produce these artifacts in order: 1. DAILY inventory 2. LIBRARY inventory 3. install plan 4. verification report 5. option

What's inside
Steps it walks through
  1. When to Use
  2. Non-Negotiable Rules
  3. Outputs
  4. Classification Model
  5. Evidence Sources
  6. Parallel Review Passes
  7. Core Workflow
  8. 1. Read the repo
  9. 2. Build the evidence table
  10. 3. Decide DAILY vs LIBRARY
  11. 4. Build the install plan
  12. 5. Create the optional library router
  13. 6. Verify the result
  14. Handoffs
Commands it runs
rg --files
rg -n "typescript|react|next|supabase|django|spring|flutter|swift"
cat package.json
cat pyproject.toml
cat Cargo.toml
cat pubspec.yaml
cat go.mod
More from everything-openai-codex
All skills →
About this skill
What does the agent-sort skill do?

Build an evidence-backed ecc install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ecc should be trimmed to what a project actually needs instead of loading the full bundle.

How do I install it?

Run `npx skills add mturac/everything-openai-codex --skill agent-sort --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going