Borrowing it
Nothing to install: this file belongs to Firnschnee/dual-model-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.
curl -O https://raw.githubusercontent.com/Firnschnee/dual-model-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/Firnschnee/dual-model-mcpWrote 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/instructions/firnschnee/dual-model-mcp/claude-md)<a href="https://agentmods.dev/instructions/firnschnee/dual-model-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/firnschnee/dual-model-mcp/claude-md/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/instructions/firnschnee/dual-model-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/firnschnee/dual-model-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01526 | $0.01526 |
| Opus 5 | $0.00763 | $0.00763 |
| Sonnet 5 | $0.00305 | $0.00305 |
| Haiku 4.5 | $0.00153 | $0.00153 |
Grade A, and why
dual-model-mcp CLAUDE.md 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dual-model-mcp - Arbeitskontext
MCP-Server fuer parallele LLM-Zweitmeinungen ueber OpenRouter, optional mit Synthese. Installation und Nutzung stehen im README; diese Datei ist Kontext fuer die Arbeit am Code, nicht die Nutzeranleitung.
Architektur
src/index.ts- STDIO-Entry (lokal: Claude Code / Desktop / Cherry Studio).src/http.ts- Streamable-HTTP-Entry (remote: claude.ai Web/Mobile als Custom Connector).src/server.ts- gemeinsamer Kern: Tool-Definition, OpenRouter-Calls, Synthese. Beide Entries teilen sich diesen Kern.- N Modelle statt fix zwei:
MODELSals kommaseparierte Liste in.env, kein Rebuild noetig. Optionale Synthese (synthesize: true, Default-Modell Gemini 3.8 Flash). Nativefetch, kein HTTP-Client-Dependency. Node 20+ (AbortSignal.any). - Positionierung seit 2026-09-05: Eskalationsstufe, nicht Alltag. Defaults
Fable 5.1 + GPT-6 Astra,
reasoning.effort=high(OpenRouter-einheitlicher Parameter, pro Anbieter uebersetzt),MAX_TOKENS32000, Timeout 600 s. Begruendung: der Aufrufer ist im Alltag Opus 5; ein zweites Mittelklassemodell bringt keine Diversitaet, die den Preis wert waere. - Zweites Tool
ask_gpt(seit 1.2.0): ein Modell (GPT-5.6 Sol, effort high, 32000 Tokens), keine Synthese, gleiche Ausgabe. Beide Tools teilen sichrunQuery(). Eigenes Tool statt Parameter, damit der Aufrufer (claude.ai waehlt nach Beschreibung) fuer die Alltagsfrage nicht Fable+Astra zieht. Slash-Command/gpt(~/.claude/commands/gpt.md). - Synthese ist bewusst Opt-in und im
/dual-Command aus: der Aufrufer liest ohnehin alle Rohantworten, die Synthese spart ihm keine Tokens, und das Synthese-Modell sieht nur den Prompt, nicht den Session-Kontext. temperaturewird nur gesendet, wenn explizit gesetzt: Fable, GPT-6, Sonnet 5 unterstuetzen den Parameter laut OpenRouter-Modellliste nicht, OpenRouter verwirft ihn dann still (verifiziert 2026-09-05, kein Fehler).
Remote-Deployment (Hetzner, geteilt mit co-brain)
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.
- 2d ago Changed · +34 lines · +720 tokens per session c0c79afbe658
- 9d ago First seen · 58 lines · 806 tokens per session scan A 3cb5284673dc
dual-model-mcp CLAUDE.md is an instructions file published in the GitHub repository Firnschnee/dual-model-mcp (4 stars, last pushed 4d ago), licensed MIT. It adds 1,526 tokens to every session, about $0.0076 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.