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.
npx skills add techysy/10router --skill 10routergit clone --depth 1 https://github.com/techysy/10routerWrote 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.
[](https://agentmods.dev/skills/techysy/10router/10router)<a href="https://agentmods.dev/skills/techysy/10router/10router"><img src="https://agentmods.dev/badge/skills/techysy/10router/10router/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/techysy/10router/10router"><img src="https://agentmods.dev/badge/skills/techysy/10router/10router.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.00829 |
| Opus 5.5 | $0.00033 | $0.00332 |
| Sonnet 5.5 | $0.00017 | $0.00166 |
| Haiku 4.5 | $0.00008 | $0.00083 |
Grade A, and why
10router scanned grade A with 1 finding 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 1mo ago.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Verify: `curl $TENROUTER_URL/api/health` → `{"ok":true}` How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
10Router
Local/remote AI gateway exposing OpenAI-compatible REST. One key, many providers, auto-fallback.
Setup
export TENROUTER_URL="http://localhost:20128" # or VPS / tunnel URL
export TENROUTER_KEY="sk-..." # from Dashboard → Keys (only if requireApiKey=true)
All requests: ${TENROUTER_URL}/v1/... with header Authorization: Bearer ${TENROUTER_KEY} (omit if auth disabled).
Verify: curl $TENROUTER_URL/api/health → {"ok":true}
Discover models
curl $TENROUTER_URL/v1/models # chat/LLM (default)
curl $TENROUTER_URL/v1/models/image # image-gen
curl $TENROUTER_URL/v1/models/tts # text-to-speech
curl $TENROUTER_URL/v1/models/embedding # embeddings
curl $TENROUTER_URL/v1/models/web # web search + fetch (entries have `kind` field)
curl $TENROUTER_URL/v1/models/stt # speech-to-text
curl $TENROUTER_URL/v1/models/image-to-text # vision
Use data[].id as model field in requests. Combos appear with owned_by:"combo".
Response shape:
{ "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:
What ships with it
1 file 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.
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.
- 1mo ago Changed · +1 lines 2394ca08d91a
- 1mo ago First seen · 62 lines · 83 tokens per session scan A ee5b47ea18c5
10router is a skill published in the GitHub repository techysy/10router (93 stars, last pushed today), licensed MIT. It adds 83 tokens to every session and 829 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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…
omni-inference
The core OpenAI-compatible inference endpoints: chat completions, embeddings, images, audio (TTS/STT), moderations, rerank, and the Responses API. The primary integration surface for AI agents.
keirouter-chat
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-embeddings
Generate vector embeddings via KeiRouter /v1/embeddings using OpenAI / Mistral / Cohere / Voyage / NVIDIA / AWS Bedrock and other embedding models for RAG, semantic search, similarity. Use when the user wants embeddings, vectors, RAG, semantic search, or to embed text.
unified-ai-gateway
Operate and evaluate Unified AI System through fifteen governed MCP tools, including provider-free prompt enhancement, while preserving fake-provider, authorization, and evidence boundaries.
app-ai-wiring
A guide for connecting an app to an AI language model or to the tiguclaw assistant. It compares a tiguclaw-specific endpoint with an OpenAI-compatible gateway, a standard interface used by several model services.