multi-model-delegation

multi-model-delegation is a skill for Claude Code, Codex from laurigates/claude-plugins. It costs 41 tokens per session (3,478 once invoked), scanned A, original, MIT.

A procedure for asking several other language models for design ideas and comparing where their answers disagree. It treats those models as sources of suggestions rather than final decision-makers.

In plain words
What is it for?
Use it to brainstorm designs, gather split answers from other models, compare the differences, and decide between options using the actual project context.
Why use it?
It helps identify design choices that are genuinely uncertain and requires checking them against the codebase instead of trusting a majority vote.

Skill for Claude CodeCodex

Part of the agent-patterns-plugin plugin — 22 skills shipped together

Install

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.

agentmods
npx agentmods add skills/laurigates/claude-plugins/multi-model-delegation
Any agent
npx skills add laurigates/claude-plugins --skill multi-model-delegation
Clone the repo
git clone --depth 1 https://github.com/laurigates/claude-plugins

Made for: Claude Code, Codex.

Or install agent-patterns-plugin, the plugin that ships this one along with the rest of its 22 skills.

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 multi-model-delegation

README.md
[![agentmods](https://agentmods.dev/badge/skills/laurigates/claude-plugins/multi-model-delegation.svg)](https://agentmods.dev/skills/laurigates/claude-plugins/multi-model-delegation)
Your own site
<a href="https://agentmods.dev/skills/laurigates/claude-plugins/multi-model-delegation"><img src="https://agentmods.dev/badge/skills/laurigates/claude-plugins/multi-model-delegation.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,478 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original 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 $0.00041 $0.03478
Opus 5 $0.00020 $0.01739
Sonnet 5 $0.00008 $0.00696
Haiku 4.5 $0.00004 $0.00348

Measured 5d ago against content hash 9f53c1d0dd7e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

multi-model-delegation 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 5d 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

`subprocess.run(..., input=...)` closes stdin after writing, so the server shuts
agent-patterns-plugin/skills/multi-model-delegation/SKILL.md · 241 lines

How it starts

The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multi-Model Delegation

Protocol for consulting other models — kimi, glm, gemini, gpt via the PAL MCP gateway (chat, consensus) — on design and judgment work, and for acting on what comes back. The core insight, which inverts the naive approach:

The value is the disagreement, not the union. Two competent models briefed identically converge on the obvious 80% — the part you'd have written anyway. Where they split is a precise pointer at the one decision that is genuinely load-bearing and underdetermined by the prompt. Resolve the split against the codebase — which usually already decided, and which the models structurally cannot see — never by picking the more confident model.

Treat delegated models as idea generators, never as authorities. Taking the majority answer, or the more confident one, launders a coin-flip into a decision that merely looks researched.

You — the orchestrating Claude session — run the whole consult: you dispatch the PAL MCP calls, collect the replies, and do the judgment steps (diff, adjudicate, synthesize) yourself in the main loop.

The Tool Prefix Is Derived, Not Fixed

PAL's tools are reachable as mcp__<server-name>__<tool>, where <server-name> is the key the server is registered under — not the product name, and not the binary. That key can live in any registration scope: a project .mcp.json, a user-scope entry in ~/.claude.json (claude mcp add -s user …, which has no .mcp.json at all), or a local one. So read the registration rather than a file — claude mcp list is authoritative in every scope, and claude mcp get names the scope that owns it:

claude mcp list                 # "pal-mcp-server: pal-mcp-server  - ✔ Connected"
claude mcp get pal-mcp-server   # Scope: Project config (shared via .mcp.json)

With the common registration pal-mcp-server, chat is mcp__pal-mcp-server__chat; a repo that registers the same binary under a different key gets that key in the prefix instead. Every mcp__pal-mcp-server__* name below assumes that registration — substitute the key claude mcp list reports.

Read the full file on GitHub · 241 lines

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. 5d ago First seen · 241 lines · 41 tokens per session scan A 9f53c1d0dd7e

Subscribe to this mod's changes

multi-model-delegation is a skill published in the GitHub repository laurigates/claude-plugins (58 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 3,478 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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