Agent skill

Model Registry Maintainer

by Microck in Microck/ordinary-claude-skills

Guide for maintaining the MassGen model and backend registry.

Custom licenceAuto-check passedAgent Workflows

Install Model Registry Maintainer

skills CLI
$ npx skills add Microck/ordinary-claude-skills --skill model-registry-maintainer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Microck/ordinary-claude-skills model-registry-maintainer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills_all/model-registry-maintainer .claude/skills/model-registry-maintainer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
model-registry-maintainer
GitHub stars
403
Token cost
~3.6k tokens
SKILL.md length
819 words
Files
2
Skills in repo
91
Repo updated
First seen
Licence
Custom licence

At a glance

Guide for maintaining the MassGen model and backend registry.

  • Works in 11 steps: Release Date → Context Window → Pricing → …
  • Tasks that involve Context engineering
  • SKILL.md covers When to Use This Skill, Two Files to Maintain, Information to Gather for New… and Adding a New Model - Complete…, plus 5 more sections
  • Calls uv and make; reaches raw.githubusercontent.com and openrouter.ai; needs OPENROUTER_API_KEY

What it does

Model Registry Maintainer is an agent skill from Microck/ordinary-claude-skills. Guide for maintaining the MassGen model and backend registry. This skill should be used when adding new models, updating model information (release dates, pricing, context windows), or ensuring the registry stays current with provider releases. Covers both the capabilities registry and the pricing/token manager.

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

It sits in Agent Workflows, covering Context engineering, MLOps and Model routing and gateways. It works with OpenAI. The repository describes itself as: An unappealing collection of Claude Skills and resources.

When your agent uses it

  • Tasks that involve Context engineering
  • Tasks that involve MLOps
  • Tasks that involve Model routing and gateways

Example prompts

  • “/model-registry-maintainer”

Requirements

  • Python 3
  • A credential in OPENROUTER_API_KEY

Workflow steps

11 steps, taken from the step headings in SKILL.md.

  1. Release Date
  2. Context Window
  3. Pricing
  4. Capabilities
  5. Model Name
  6. Add to capabilities.py
  7. Check if pricing is in LiteLLM (Usually Skip)
  8. Update Capabilities (if new features)
  9. Update Default Model (if appropriate)
  10. Validate and Test
  11. Regenerate Documentation

What it can do on your machine

Read from SKILL.md and the folder at commit 1056d29. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • uv
    • make

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • raw.githubusercontent.com
    • openrouter.ai
    • api.openai.com
    • generativelanguage.googleapis.com
    • api.x.ai
    • api.together.xyz
    • api.groq.com
    • api.cerebras.ai
    • api.fireworks.ai

    Also links to:

    • openai.com
    • anthropic.com
    • x.ai
    • blog.google
    • ai.google.dev

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENROUTER_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Model Registry Maintainer loads about 3.6k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 819 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 819 words (~3,558 tokens).

“This skill provides guidance for maintaining MassGen's model registry across two key files:”

— opening of SKILL.md by Microck, Custom licence
name
model-registry-maintainer

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in skills_all/model-registry-maintainer of Microck/ordinary-claude-skills.

  • SKILL.md
  • metadata.json

Open the folder on GitHubat commit 1056d29

Compare with similar skills

Model Registry Maintainer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Model Registry Maintainer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Model Registry Maintainer this skillMicrock/ordinary-claude-skills403—~3.6kAutomated safety check: PassCustom licence
Claudish UsageMadAppGang/claudish1k—~9kAutomated safety check: PassNone
Droid Model Setupnikships/droidproxy122—~2kAutomated safety check: PassMIT
Nexus Model UpdatesProfSynapse/nexus156—~1.1kAutomated safety check: PassMIT
Tlon Product Guidetloncorp/tlon-apps107—~11kAutomated safety check: PassMIT
Efficient DispatchNecmttn/ax116—~1.9kAutomated safety check: PassAGPL-3.0

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Works with

Categories

Questions about Model Registry Maintainer

What does Model Registry Maintainer do?

Guide for maintaining the MassGen model and backend registry. Model Registry Maintainer is an agent skill from Microck/ordinary-claude-skills. Guide for maintaining the MassGen model and backend registry.

When should I use Model Registry Maintainer?

Model Registry Maintainer fits situations like: tasks that involve Context engineering; tasks that involve MLOps; tasks that involve Model routing and gateways.

How do I install Model Registry Maintainer in Claude Code?

Run `npx skills add Microck/ordinary-claude-skills --skill model-registry-maintainer -a claude-code`. Or copy the skill folder (skills_all/model-registry-maintainer in Microck/ordinary-claude-skills) into .claude/skills/model-registry-maintainer in your project. Claude Code loads it when a task matches its description.

How do I install Model Registry Maintainer in Codex?

Run `npx skills add Microck/ordinary-claude-skills --skill model-registry-maintainer -a codex`. Or copy the skill folder (skills_all/model-registry-maintainer in Microck/ordinary-claude-skills) into .agents/skills/model-registry-maintainer in your project. Codex loads it when a task matches its description.

Can I use Model Registry Maintainer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Microck/ordinary-claude-skills --skill model-registry-maintainer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-registry-maintainer, .gemini/skills/model-registry-maintainer, .github/skills/model-registry-maintainer and .opencode/skills/model-registry-maintainer in your project.

What does Model Registry Maintainer need to run?

Going by SKILL.md and its folder, Model Registry Maintainer needs the command-line tools its instructions call (uv and make) and credentials named OPENROUTER_API_KEY. Our summary lists: Python 3; A credential in OPENROUTER_API_KEY.

Does Model Registry Maintainer access the network?

SKILL.md names 14 domains. In commands or code: raw.githubusercontent.com, openrouter.ai, api.openai.com, generativelanguage.googleapis.com, api.x.ai, api.together.xyz, api.groq.com, api.cerebras.ai and api.fireworks.ai; the agent is likely to contact these when it follows the instructions. As links in the text: openai.com, anthropic.com, x.ai, blog.google and ai.google.dev. This is read from the text; nothing was executed.

Is Model Registry Maintainer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Model Registry Maintainer use?

Model Registry Maintainer has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Model Registry Maintainer use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Model Registry Maintainer?

Skills that share tags, products or a category with Model Registry Maintainer: Claudish Usage (MadAppGang/claudish, 1k stars), Droid Model Setup (nikships/droidproxy, 122 stars), Nexus Model Updates (ProfSynapse/nexus, 156 stars) and Tlon Product Guide (tloncorp/tlon-apps, 107 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Model Registry Maintainer?

Microck (a GitHub user) maintains it in Microck/ordinary-claude-skills, which has 403 GitHub stars. The repository holds 91 skills in this directory. The repository was last updated on September 6, 2026.

Source: Microck/ordinary-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.