maintain-ranking-scripts

maintain-ranking-scripts is a skill for Claude Code, Codex from cooler333/cool-claude-code. It costs 108 tokens per session (3,676 once invoked), scanned A, original, CC0-1.0.

A maintenance toolkit for scripts that build a ranked README of popular Claude Code, skill, agent, and MCP repositories.

In plain words
What is it for?
Use it when editing the fetch, render, or configuration helpers, changing repository data or README layouts, or running the classification audit.
Why use it?
It helps keep repository discovery, scope filtering, ranking, categorization, and README generation aligned as the project changes.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/cooler333/cool-claude-code/maintain-ranking-scripts
Any agent
npx skills add cooler333/cool-claude-code --skill maintain-ranking-scripts
Clone the repo
git clone --depth 1 https://github.com/cooler333/cool-claude-code

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for maintain-ranking-scripts

README.md
[![agentmods](https://agentmods.dev/badge/skills/cooler333/cool-claude-code/maintain-ranking-scripts.svg)](https://agentmods.dev/skills/cooler333/cool-claude-code/maintain-ranking-scripts)
Your own site
<a href="https://agentmods.dev/skills/cooler333/cool-claude-code/maintain-ranking-scripts"><img src="https://agentmods.dev/badge/skills/cooler333/cool-claude-code/maintain-ranking-scripts.svg" alt="Measured on agentmods" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,676 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00108 $0.03676
Opus 5 $0.00054 $0.01838
Sonnet 5 $0.00022 $0.00735
Haiku 4.5 $0.00011 $0.00368

Measured 3d ago against content hash 7c8364311c68, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

maintain-ranking-scripts scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (audit_language.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/maintain-ranking-scripts/SKILL.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

maintain-ranking-scripts

Maintain the scripts behind this repo's auto-generated, star-ranked README of the Claude Code / skills / agents / MCP ecosystem.

What this repo's pipeline does

  1. helpers/fetch.py (network only) does an exhaustive star-bucketed sweep of every public repo at or above min_stars (the Search API caps each query at 1,000 results, so the star range is split into adaptive buckets, then concatenated). Because the sweep is exhaustive, discovery is complete by construction — there are no scoped queries that could miss a popular repo. It writes two files and nothing else:
    • helpers/repos.json — the full universe (every repo ≥ min_stars), metadata only. The single source of truth for everything downstream.
    • helpers/out_of_scope.json — AUTO classification: universe entries that fail scope_filter (not AI/Claude). Regenerated every run; never hand-edited. It does not categorize, write briefs, rank-to-top-N, fetch READMEs, or apply any denylist.
  2. helpers/render.py (no network) selects the published set — repos.json minus out_of_scope.json minus helpers/filtered.json minus archived, top render.render_count by stars — writes helpers/repos_to_render.json, then categorizes, builds the short briefs (from description / topics), and lays out README.md: a Table of Contents, the Trending this week cut, the Top-N leaderboard, the long tail split into per-category tables, and a footer of links. The README body is tables only — the prose (scope, column definitions, disclaimer, licensing) lives in hand-maintained docs, not in render.py; see "Where the static docs live" below.
  3. helpers/trend.py (no network, git only) supplies the momentum columns (Pos, +Stars) and the Trending cut: it reads an older committed version of repos.json straight out of git history — the newest snapshot at least render.trend.window_days old. One baseline feeds both columns, so they always describe the same span. No extra API calls and no new state file; the daily commits are the star history. Best-effort: no git, a depth-1 clone, or history shorter than the window drops both columns and the Trending section, and the README still renders.
  4. CI (.github/workflows/): refresh-ranking.yml runs the sweep+render daily and commits the artifacts; render-on-edit.yml re-renders (no network) when a human edits filtered.json (NOT config.json — scope/min_stars are sweep-time, so config edits wait for the next sweep). Both check out with fetch-depth: 0 — the default depth-1 clone would silently render without the momentum columns.

Read the full file on GitHub · 222 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 222 lines · 108 tokens per session scan A 7c8364311c68

Subscribe to this mod's changes

maintain-ranking-scripts is a skill published in the GitHub repository cooler333/cool-claude-code (9 stars, last pushed 4d ago), licensed CC0-1.0. It adds 108 tokens to every session and 3,676 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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