Configuring Vision
oxbshw/watch-skill
The user wants to connect an LLM or vision provider, already has an API key, asks "can I use OpenAI/Anthropic/Gemini/OpenRouter", wants local Ollama, or needs different cheap and strong models.
Chat / code generation via KeiRouter using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos.
Install Keirouter Chat
$ npx skills add mydisha/keirouter --skill keirouter-chat -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mydisha/keirouter keirouter-chat --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/keirouter-chat .claude/skills/keirouter-chat && rm -rf skills-srcUse ~/.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/
Install the "keirouter-chat" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-chat into .claude/skills/keirouter-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-chat", 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 install https://github.com/mydisha/keirouter/tree/main/skills/keirouter-chatType 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.
$ npx skills add mydisha/keirouter --skill keirouter-chat -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mydisha/keirouter keirouter-chat --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/keirouter-chat .agents/skills/keirouter-chat && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "keirouter-chat" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-chat into .agents/skills/keirouter-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-chat", 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.
$ npx skills add mydisha/keirouter --skill keirouter-chat -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mydisha/keirouter keirouter-chat --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/keirouter-chat .cursor/skills/keirouter-chat && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "keirouter-chat" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-chat into .cursor/skills/keirouter-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-chat", 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 https://github.com/mydisha/keirouter.git --path skills/keirouter-chat--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mydisha/keirouter --skill keirouter-chat -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mydisha/keirouter keirouter-chat --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/keirouter-chat .gemini/skills/keirouter-chat && rm -rf skills-srcUse ~/.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/
Install the "keirouter-chat" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-chat into .gemini/skills/keirouter-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-chat", 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.
$ gh skill install mydisha/keirouter keirouter-chatInstalls 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).
$ npx skills add mydisha/keirouter --skill keirouter-chat -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/keirouter-chat .github/skills/keirouter-chat && rm -rf skills-srcUse ~/.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/
Install the "keirouter-chat" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-chat into .github/skills/keirouter-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-chat", 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.
$ npx skills add mydisha/keirouter --skill keirouter-chat -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mydisha/keirouter keirouter-chat --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/keirouter-chat .opencode/skills/keirouter-chat && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "keirouter-chat" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-chat into .opencode/skills/keirouter-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-chat", 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-chat- GitHub stars
- 147
- Token cost
- ~859 tokens
- SKILL.md length
- 109 words
- Files
- 1
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- MIT
At a glance
Chat / code generation via KeiRouter using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos.
- The user wants to ask an LLM
- SKILL.md covers Endpoints, Discover, OpenAI format and Anthropic format, plus 2 more sections
- Calls curl and jq; needs KEIROUTER_KEY
- Run prompts through KeiRouter
What it does
Keirouter Chat is an agent skill from mydisha/keirouter. Chat / code generation via KeiRouter using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos. Use when the user wants to ask an LLM, generate code, summarize text, or run prompts through KeiRouter.
Its SKILL.md is about 860 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 LLM API integration. It works with OpenAI, DeepSeek, Mistral AI and Ollama. The repository describes itself as: Your friendly, blazing-fast, self-hostable AI gateway. The licence is MIT.
When your agent uses it
- The user wants to ask an LLM
- Run prompts through KeiRouter
Example prompts
- “/keirouter-chat”
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:
curljq
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 Chat loads about 859 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 109 words of instructions outside code blocks.
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). 109 words, ~859 tokens.
Download SKILL.mdSave it as
.claude/skills/keirouter-chat/SKILL.md (or your agent's skills folder).- name
- keirouter-chat
- description
- Chat / code generation via KeiRouter using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos. Use when the user wants to ask an LLM, generate code, summarize text, or run prompts through KeiRouter.
KeiRouter — Chat
Requires KEIROUTER_URL (and KEIROUTER_KEY if auth enabled). See https://raw.githubusercontent.com/mydisha/keirouter/main/skills/keirouter/SKILL.md for setup.
Endpoints
POST $KEIROUTER_URL/v1/chat/completions— OpenAI formatPOST $KEIROUTER_URL/v1/messages— Anthropic formatPOST $KEIROUTER_URL/v1/responses— OpenAI Responses format
Discover
curl $KEIROUTER_URL/v1/models | jq '.data[].id'
# Per-model metadata (contextWindow, params)
curl "$KEIROUTER_URL/v1/models/info?id=openai/gpt-4o"Combos (e.g. vip, mycodex) auto-fallback through multiple providers.
OpenAI format
curl -X POST $KEIROUTER_URL/v1/chat/completions \
-H "Authorization: Bearer $KEIROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"openai/gpt-5","messages":[{"role":"user","content":"Hi"}],"stream":false}'JS (OpenAI SDK):
import OpenAI from "openai";
const client = new OpenAI({ baseURL: `${process.env.KEIROUTER_URL}/v1`, apiKey: process.env.KEIROUTER_KEY });
const res = await client.chat.completions.create({
model: "openai/gpt-5",
messages: [{ role: "user", content: "Hi" }],
stream: true,
});
for await (const chunk of res) process.stdout.write(chunk.choices[0]?.delta?.content || "");Anthropic format
curl -X POST $KEIROUTER_URL/v1/messages \
-H "Authorization: Bearer $KEIROUTER_KEY" \
-H "anthropic-version: 2023-06-01" \
-H "Content-Type: application/json" \
-d '{"model":"anthropic/claude-opus-4-7","max_tokens":1024,"messages":[{"role":"user","content":"Hi"}]}'Response shape
OpenAI (/v1/chat/completions):
{ "id": "chatcmpl-...", "object": "chat.completion", "model": "openai/gpt-5",
"choices": [{ "index": 0, "message": { "role": "assistant", "content": "Hello!" }, "finish_reason": "stop" }],
"usage": { "prompt_tokens": 8, "completion_tokens": 2, "total_tokens": 10 } }Streaming (stream:true) emits SSE: data: {choices:[{delta:{content:"..."}}]}\n\n ... data: [DONE]\n\n.
Anthropic (/v1/messages):
{ "id": "msg_...", "type": "message", "role": "assistant", "model": "anthropic/claude-opus-4-7",
"content": [{ "type": "text", "text": "Hello!" }],
"stop_reason": "end_turn", "usage": { "input_tokens": 8, "output_tokens": 2 } }Provider quick reference
| Provider | model format | Examples |
|---|---|---|
| OpenAI | openai/<model> | openai/gpt-5, openai/gpt-4o |
| Anthropic | anthropic/<model> | anthropic/claude-opus-4-7, anthropic/claude-sonnet-4-6 |
| Claude Code | cc/<model> | cc/claude-opus-4-7 |
| Gemini | gemini/<model> | gemini/gemini-2.5-pro, gemini/gemini-2.5-flash |
| Groq | groq/<model> | groq/llama-3.3-70b |
| DeepSeek | ds/<model> | ds/deepseek-chat, ds/deepseek-coder |
| OpenRouter | openrouter/<model> | openrouter/anthropic/claude-opus-4-7 |
| Mistral | mistral/<model> | mistral/mistral-large-latest |
| xAI | xai/<model> | xai/grok-3 |
| Ollama Local | ollama-local/<model> | ollama-local/llama3.2 |
| Custom OpenAI | custom-openai/<model> | Any model on your custom endpoint |
© mydisha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/keirouter-chat of mydisha/keirouter.
Open the folder on GitHubat commit 3d8b702
Compare with similar skills
Keirouter Chat 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Keirouter Chat this skillmydisha/keirouter | 147 | — | ~859 | Automated safety check: Pass | MIT | |
| Configuring Visionoxbshw/watch-skill | 469 | — | ~509 | Automated safety check: Notes | MIT | |
| PiDeck Usage Probe Helperayuayue/PiDeck | 1k | — | ~1.4k | Automated safety check: Pass | MIT | |
| OpenCode Agent Provider for NanoClawnanocoai/nanoclaw | 31k | — | ~5k | Automated safety check: Notes | MIT | |
| Awesome Free LLM APIsLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.1k | Automated safety check: Pass | MIT | |
| ModLens Image Vision Bridgeliustack/modlens | 4.2k | — | ~1.3k | Automated safety check: Notes | MIT |
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Entry point for KeiRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch.
Keirouter Embeddings
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Generate vector embeddings via KeiRouter /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia embedding models for RAG, semantic search, similarity.
Keirouter Image
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Generate images via KeiRouter /v1/images/generations using OpenAI DALL-E / Gemini Imagen / FLUX / MiniMax / Stability AI / Fal.ai models.
Keirouter Stt
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Speech-to-text via KeiRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI models.
Keirouter Tts
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Text-to-speech via KeiRouter /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Inworld voices.
Keirouter Web Fetch
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Fetch URL → markdown / text / HTML via KeiRouter /v1/web/fetch using Firecrawl / Jina Reader / Tavily Extract / Exa Contents.
Related
Works with
Categories
Questions about Keirouter Chat
What does Keirouter Chat do?
Chat / code generation via KeiRouter using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos. Keirouter Chat is an agent skill from mydisha/keirouter. Chat / code generation via KeiRouter using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos.
When should I use Keirouter Chat?
Keirouter Chat fits situations like: the user wants to ask an LLM; run prompts through KeiRouter.
How do I install Keirouter Chat in Claude Code?
Run `npx skills add mydisha/keirouter --skill keirouter-chat -a claude-code`. Or copy the skill folder (skills/keirouter-chat in mydisha/keirouter) into .claude/skills/keirouter-chat in your project. Claude Code loads it when a task matches its description.
How do I install Keirouter Chat in Codex?
Run `npx skills add mydisha/keirouter --skill keirouter-chat -a codex`. Or copy the skill folder (skills/keirouter-chat in mydisha/keirouter) into .agents/skills/keirouter-chat in your project. Codex loads it when a task matches its description.
Can I use Keirouter Chat 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-chat -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-chat, .gemini/skills/keirouter-chat, .github/skills/keirouter-chat and .opencode/skills/keirouter-chat in your project.
What does Keirouter Chat need to run?
Going by SKILL.md and its folder, Keirouter Chat needs the command-line tools its instructions call (curl and jq) and credentials named KEIROUTER_KEY. Our summary lists: A credential in KEIROUTER_KEY.
Does Keirouter Chat 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 Chat 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 Chat use?
Keirouter Chat 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 Chat use?
About 859 tokens (SKILL.md is roughly 3.4k 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 Chat?
Skills that share tags, products or a category with Keirouter Chat: Configuring Vision (oxbshw/watch-skill, 469 stars), PiDeck Usage Probe Helper (ayuayue/PiDeck, 1k stars), OpenCode Agent Provider for NanoClaw (nanocoai/nanoclaw, 31k stars) and Awesome Free LLM APIs (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Keirouter Chat?
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.