Agent skill

Keirouter

Entry point for KeiRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch.

MITAuto-check passedAI & LLM Engineering

Install Keirouter

skills CLI

$ npx skills add mydisha/keirouter --skill keirouter -a claude-code

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

GitHub CLI

$ gh skill install mydisha/keirouter keirouter --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/mydisha/keirouter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/keirouter .claude/skills/keirouter && 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/

Paste into Claude Code

Install the "keirouter" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter into .claude/skills/keirouter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/mydisha/keirouter/tree/main/skills/keirouter

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add mydisha/keirouter --skill keirouter -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install mydisha/keirouter keirouter --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/keirouter .agents/skills/keirouter && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "keirouter" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter into .agents/skills/keirouter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add mydisha/keirouter --skill keirouter -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install mydisha/keirouter keirouter --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/keirouter .cursor/skills/keirouter && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "keirouter" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter into .cursor/skills/keirouter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/mydisha/keirouter.git --path skills/keirouter

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add mydisha/keirouter --skill keirouter -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install mydisha/keirouter keirouter --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/keirouter .gemini/skills/keirouter && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "keirouter" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter into .gemini/skills/keirouter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install mydisha/keirouter keirouter

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add mydisha/keirouter --skill keirouter -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/keirouter .github/skills/keirouter && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "keirouter" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter into .github/skills/keirouter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add mydisha/keirouter --skill keirouter -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install mydisha/keirouter keirouter --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/keirouter .opencode/skills/keirouter && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "keirouter" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter into .opencode/skills/keirouter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: keirouter
GitHub stars: 147
Token cost: ~995 tokens
SKILL.md length: 222 words
Files: 1
Skills in repo: 8
Repo updated: Sep 11, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Entry point for KeiRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch.

The user mentions KeiRouter
SKILL.md covers Setup, Discover models, Capability skills and Supported providers (highlights), plus 1 more section
Calls curl; needs KEIROUTER_KEY
Wants AI without writing provider boilerplate

What it does

Keirouter is an agent skill from mydisha/keirouter. Entry point for KeiRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch. Use when the user mentions KeiRouter, KEIROUTERURL, or wants AI without writing provider boilerplate. This skill covers setup + indexes capability skills; fetch the relevant capability SKILL.md from the URLs below when needed.

Its SKILL.md is about 1000 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Text to speech and voice, Embeddings and Web search. It works with OpenAI, DeepSeek, NVIDIA AI Platform and Mistral AI. The repository describes itself as: Your friendly, blazing-fast, self-hostable AI gateway. The licence is MIT.

When your agent uses it

The user mentions KeiRouter
Wants AI without writing provider boilerplate

Example prompts

“/keirouter”

Requirements

A credential in KEIROUTER_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 3d8b702. 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:
- curl
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- KEIROUTER_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Keirouter loads about 995 tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 222 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~94
When it runs · the whole SKILL.md, loaded when a task matches: ~995

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

The full file from mydisha/keirouter at commit 3d8b702, republished under its MIT licence (© mydisha). 222 words, ~995 tokens.

Download SKILL.mdSave it as .claude/skills/keirouter/SKILL.md (or your agent's skills folder).

name: keirouter
description: Entry point for KeiRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch. Use when the user mentions KeiRouter, KEIROUTER_URL, or wants AI without writing provider boilerplate. This skill covers setup + indexes capability skills; fetch the relevant capability SKILL.md from the URLs below when needed.

KeiRouter

Local/remote AI gateway exposing OpenAI-compatible REST. One key, many providers, auto-fallback.

Setup

bash

export KEIROUTER_URL="http://localhost:20180"      # or VPS / tunnel URL
export KEIROUTER_KEY="sk-..."                      # from Dashboard → Keys (only if auth enabled)

All requests: ${KEIROUTER_URL}/v1/... with header Authorization: Bearer ${KEIROUTER_KEY} (omit if auth disabled).

Verify: curl $KEIROUTER_URL/healthz → {"ok":true}

Discover models

bash

curl $KEIROUTER_URL/v1/models                  # chat/LLM (default)
curl $KEIROUTER_URL/v1/models/image            # image-gen
curl $KEIROUTER_URL/v1/models/tts              # text-to-speech
curl $KEIROUTER_URL/v1/models/embedding        # embeddings
curl $KEIROUTER_URL/v1/models/web              # web search + fetch (entries have `kind` field)
curl $KEIROUTER_URL/v1/models/stt              # speech-to-text

Use data[].id as model field in requests. Combos appear with owned_by:"combo".

Response shape:

json

{ "object": "list", "data": [
  { "id": "openai/gpt-5", "object": "model", "owned_by": "openai", "created": 1735000000 },
  { "id": "tavily/search", "object": "model", "kind": "webSearch", "owned_by": "tavily", "created": 1735000000 }
]}

Capability skills

When the user needs a specific capability, fetch that skill's SKILL.md from its raw URL:

Capability	Raw URL
Chat / code-gen	https://raw.githubusercontent.com/mydisha/keirouter/main/skills/keirouter-chat/SKILL.md
Image generation	https://raw.githubusercontent.com/mydisha/keirouter/main/skills/keirouter-image/SKILL.md
Text-to-speech	https://raw.githubusercontent.com/mydisha/keirouter/main/skills/keirouter-tts/SKILL.md
Speech-to-text	https://raw.githubusercontent.com/mydisha/keirouter/main/skills/keirouter-stt/SKILL.md
Embeddings	https://raw.githubusercontent.com/mydisha/keirouter/main/skills/keirouter-embeddings/SKILL.md
Web search	https://raw.githubusercontent.com/mydisha/keirouter/main/skills/keirouter-web-search/SKILL.md
Web fetch (URL → markdown)	https://raw.githubusercontent.com/mydisha/keirouter/main/skills/keirouter-web-fetch/SKILL.md

Supported providers (highlights)

Provider	ID	Alias	Notes
OpenAI	`openai`	`openai`	GPT-5, GPT-4o, DALL-E, Whisper, TTS
Anthropic	`anthropic`	`anthropic`	Claude Opus, Sonnet, Haiku
Claude Code	`claude`	`cc`	Claude via Claude Code subscription
Google Gemini	`gemini`	`gemini`	Gemini 2.5, Imagen
Groq	`groq`	`groq`	Fast inference, Whisper
DeepSeek	`deepseek`	`ds`	DeepSeek V3, Coder
OpenRouter	`openrouter`	`openrouter`	100+ models via single key
Mistral	`mistral`	`mistral`	Mistral Large, Medium
xAI	`xai`	`xai`	Grok models
NVIDIA NIM	`nvidia`	`nvidia`	Nemotron, Llama
Ollama Local	`ollama-local`	`ollama-local`	Local models, no auth
Custom OpenAI	`custom-openai`	`custom-openai`	Any OpenAI-compatible endpoint
Custom Anthropic	`custom-anthropic`	`custom-anthropic`	Any Anthropic-compatible endpoint

Use provider/model format: openai/gpt-5, anthropic/claude-opus-4-7, groq/whisper-large-v3.

Errors

401 → set/refresh KEIROUTER_KEY (Dashboard → Keys)
400 Invalid model format → check model exists in /v1/models/<kind>
503 All accounts unavailable → wait retry-after or add another provider account
429 Budget exhausted → budget limit reached, check Dashboard → Budgets

Files

Just SKILL.md in skills/keirouter of mydisha/keirouter.

Open the folder on GitHubat commit 3d8b702

Compare with similar skills

Keirouter 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.

Keirouter compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Keirouter this skillmydisha/keirouter	147	—	~995	Automated safety check: Pass	MIT	27 days ago
Embeddings via 9Routerdecolua/9router	30k	—	~604	Automated safety check: Pass	MIT	7 days ago
AI SDK Developmenttrypostit/trypost	678	2 repos	~3.5k	Automated safety check: Pass	MIT	today
Configuring Visionoxbshw/watch-skill	460	—	~509	Automated safety check: Notes	MIT	23 days ago
Ax AIdosco/aithy	107	—	~8.2k	Automated safety check: Pass	Apache-2.0	1 mo ago
Local AI App Integrationamd/skills	398	—	~6k	Automated safety check: Pass	MIT	today

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Questions about Keirouter

What does Keirouter do?

Entry point for KeiRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch. Keirouter is an agent skill from mydisha/keirouter. Entry point for KeiRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch.

When should I use Keirouter?

Keirouter fits situations like: the user mentions KeiRouter; wants AI without writing provider boilerplate.

How do I install Keirouter in Claude Code?

Run `npx skills add mydisha/keirouter --skill keirouter -a claude-code`. Or copy the skill folder (skills/keirouter in mydisha/keirouter) into .claude/skills/keirouter in your project. Claude Code loads it when a task matches its description.

How do I install Keirouter in Codex?

Run `npx skills add mydisha/keirouter --skill keirouter -a codex`. Or copy the skill folder (skills/keirouter in mydisha/keirouter) into .agents/skills/keirouter in your project. Codex loads it when a task matches its description.

Can I use Keirouter 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 mydisha/keirouter --skill keirouter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/keirouter, .gemini/skills/keirouter, .github/skills/keirouter and .opencode/skills/keirouter in your project.

What does Keirouter need to run?

Going by SKILL.md and its folder, Keirouter needs the command-line tools its instructions call (curl) and credentials named KEIROUTER_KEY. Our summary lists: A credential in KEIROUTER_KEY.

Does Keirouter access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Keirouter 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 Keirouter use?

Keirouter is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Keirouter use?

About 995 tokens (SKILL.md is roughly 4k 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 Keirouter?

Skills that share tags, products or a category with Keirouter: Embeddings via 9Router (decolua/9router, 30k stars), AI SDK Development (trypostit/trypost, 678 stars), Configuring Vision (oxbshw/watch-skill, 460 stars) and Ax AI (dosco/aithy, 107 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Keirouter?

mydisha (a GitHub user) maintains it in mydisha/keirouter, which has 147 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 11, 2026.

Source: mydisha/keirouter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Keirouter

Install Keirouter

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

KeiRouter

Setup

Discover models

Capability skills

Supported providers (highlights)

Errors

Files

Compare with similar skills

Similar skills

Embeddings via 9Router

AI SDK Development

Configuring Vision

Ax AI

Local AI App Integration

Adversarial Spec

More from mydisha/keirouter

Keirouter Chat

Keirouter Embeddings

Keirouter Image

Keirouter Stt

Keirouter Tts

Keirouter Web Fetch

Questions about Keirouter

Install Keirouter

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

KeiRouter

Setup

Discover models

Capability skills

Supported providers (highlights)

Errors

Files

Compare with similar skills

Similar skills

More from mydisha/keirouter

Related

Questions about Keirouter