dolibarr-mcp: Skill for Claude Code

.claude/skills/llm-router/SKILL.md

llm-router is a skill for Claude Code from CATS70/dolibarr-mcp. It costs 40 tokens per session (1,561 once invoked), scanned A, original, no licence file.

A provider-independent adapter pattern for using large language models through one common interface. It supports Anthropic and OpenAI implementations and chooses between them with an environment variable.

In plain words
What is it for?
Use it to configure model selection and connect Anthropic or OpenAI models through a shared interface.
Why use it?
It reduces code changes when switching model providers and fits projects using LangGraph or FastAPI.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is CATS70/dolibarr-mcp's own configuration. It tells Claude Code how to work on dolibarr-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything dolibarr-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to CATS70/dolibarr-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/CATS70/dolibarr-mcp/main/.claude/skills/llm-router/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/CATS70/dolibarr-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for llm-router

README.md
[![agentmods](https://agentmods.dev/badge/skills/cats70/dolibarr-mcp/llm-router/github.svg)](https://agentmods.dev/skills/cats70/dolibarr-mcp/llm-router)
Your own site
<a href="https://agentmods.dev/skills/cats70/dolibarr-mcp/llm-router"><img src="https://agentmods.dev/badge/skills/cats70/dolibarr-mcp/llm-router/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.

agentmods 80×15 button for llm-router

Your own site · 80×15
<a href="https://agentmods.dev/skills/cats70/dolibarr-mcp/llm-router"><img src="https://agentmods.dev/badge/skills/cats70/dolibarr-mcp/llm-router.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,561 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.01561
Opus 5 $0.00020 $0.00781
Sonnet 5 $0.00008 $0.00312
Haiku 4.5 $0.00004 $0.00156

Measured 11d ago against content hash 066cded50fb2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

llm-router scanned grade A with 0 findings 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 11d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/llm-router/SKILL.md · 209 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 11d ago First seen · 209 lines · 40 tokens per session scan A 066cded50fb2

Subscribe to this mod's changes

llm-router is a skill published in the GitHub repository CATS70/dolibarr-mcp (0 stars, last pushed 16d ago), with no licence file. It adds 40 tokens to every session and 1,561 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

gemini-api-dev

Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. Covers SDK usage and best…

google-gemini/gemini-skills · 73 tokens

cloudflare-workers-ai

Cloudflare Workers AI for serverless GPU inference. Use for LLMs, text/image generation, embeddings, or encountering AIERROR, rate limits, token exceeded errors.

secondsky/claude-skills · 39 tokens

anthropic-claude-development

Expert guidance for Anthropic Claude API development including Messages API, tool use, prompt engineering, and building production applications with Claude models.

Mindrally/skills · 33 tokens

openrouter-ai-models-guide

Guide to OpenRouter — the unified API for 200+ AI models from OpenAI, Anthropic, Google, Meta, Mistral, and more. Covers model selection, pricing, routing strategies, fallback chains, and integration with SperaxOS for optimal model usage per task.

nirholas/three.ws · 64 tokens

LLM

Implement large language model (LLM) chat completions using the z-ai-web-dev-sdk. Use this skill when the user needs to build conversational AI applications, chatbots, AI assistants, or any text generation features. Supports multi-turn conversations, system prompts, and context management.

jjyaoao/HelloAgents · 59 tokens

crestapps-core-ai-templates

Skill for Liquid-based prompt templates, template discovery, and prompt composition in CrestApps.Core.

CrestApps/CrestApps.AgentSkills · 25 tokens