Nix Github Rate Limit logo

Nix Github Rate Limit

Community
ryoppippi
nix-github-rate-limit

Prevents and handles GitHub API rate limits with gh-nix. Use when Nix, flakes, nixpkgs commands, or comma may fetch GitHub-backed inputs.

Overview

Publisherryoppippi
Repositorydotfiles
Skill namenix-github-rate-limit
Stars
263
Forks
5
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ryoppippi on GitHub. Read the source before you install it.

Installation

Install the Nix Github Rate Limit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ryoppippi/dotfiles.git /tmp/dotfiles
mkdir -p .claude/skills
cp -r /tmp/dotfiles/agents/skills/nix-github-rate-limit .claude/skills/nix-github-rate-limit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nix Github Rate Limit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nix Github Rate Limit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nix Github Rate Limit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Use this skill before Nix commands that may fetch from GitHub.

Preferred path

Prefix the command with gh-nix; it reads the token from authenticated gh without putting it in the command:

sh
gh-nix nix flake update
gh-nix nix run github:<owner>/<repo>
gh-nix nix run nixpkgs#<package> -- <args>
gh-nix nix build
gh-nix nix shell nixpkgs#<package> --command <command>
gh-nix , <command>

For this repo: gh-nix nix run .#build, gh-nix nix run .#switch, or gh-nix nix run .#update.

Check availability with command -v gh-nix. If it is unavailable, use an existing safe token source:

sh
NIX_CONFIG="access-tokens = github.com=$(gh auth token)" nix <command>
NIX_CONFIG="access-tokens = github.com=$GITHUB_TOKEN" nix <command>
NIX_CONFIG="access-tokens = github.com=$(ghtkn get)" nix <command>

Never paste, print, persist, or commit tokens. If gh-nix reports that gh is unauthenticated, ask the user to run gh auth login. Retry a rate-limit failure once with gh-nix or the safest available fallback.

Frequently asked questions

What does the Nix Github Rate Limit AI skill do?

Prevents and handles GitHub API rate limits with gh-nix. Use when Nix, flakes, nixpkgs commands, or comma may fetch GitHub-backed inputs.

Why use Nix Github Rate Limit on TypingMind?

Because you install it once and use it with any model. Nix Github Rate Limit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nix Github Rate Limit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ryoppippi/dotfiles/tree/main/agents/skills/nix-github-rate-limit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Nix Github Rate Limit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nix Github Rate Limit?

As many as you like. As long as a model supports skills, you can use Nix Github Rate Limit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nix Github Rate Limit AI skill free?

Yes. It is published on GitHub by ryoppippi under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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