multai

multai is a skill for Claude Code from alo-exp/multai. It costs 415 tokens per session (5,128 once invoked), scanned A, original, no licence file.

A router that sends one prompt to several AI platforms, either at the same time or in sequence, then combines their responses. It supports separate browser-based and sandbox-based runtimes depending on where it is running.

In plain words
What is it for?
Submitting prompts to seven AI platforms, collecting multiple answers, and producing a synthesized result in supported coding-agent environments.
Why use it?
It reduces the need to copy the same question between different AI services and compare their answers manually.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the multai plugin — 6 skills, 1 hook shipped together

Good fit Submitting prompts to seven AI platforms, collecting multiple answers, and producing a synthesized result in supported coding-agent environments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alo-exp/multai/orchestrator
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.

Any agent
npx skills add alo-exp/multai --skill orchestrator
Clone the repo
git clone --depth 1 https://github.com/alo-exp/multai

Made for: Claude Code.

Or install multai, the plugin that ships this one along with the rest of its 6 skills, 1 hook.

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 multai

README.md
[![agentmods](https://agentmods.dev/badge/skills/alo-exp/multai/orchestrator/github.svg)](https://agentmods.dev/skills/alo-exp/multai/orchestrator)
Your own site
<a href="https://agentmods.dev/skills/alo-exp/multai/orchestrator"><img src="https://agentmods.dev/badge/skills/alo-exp/multai/orchestrator/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 multai

Your own site · 80×15
<a href="https://agentmods.dev/skills/alo-exp/multai/orchestrator"><img src="https://agentmods.dev/badge/skills/alo-exp/multai/orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 415 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,128 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 $0.00415 $0.05128
Opus 5.5 $0.00166 $0.02051
Sonnet 5.5 $0.00083 $0.01026
Haiku 4.5 $0.00042 $0.00513

Measured 1mo ago against content hash b208f9d73478, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

multai 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 1mo ago.

The scan reads SKILL.md. This mod also ships 31 executable files (engine/agent_fallback.py, engine/cli.py, engine/collate_responses.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/orchestrator/SKILL.md · 454 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

Files

What ships with it

33 files 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.

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. 1mo ago First seen · 454 lines · 415 tokens per session scan A b208f9d73478

Subscribe to this mod's changes

multai is a skill published in the GitHub repository alo-exp/multai (4 stars, last pushed 11d ago), with no licence file. It adds 415 tokens to every session and 5,128 once invoked, about $0.0017 per session on Opus 5.5. 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

ai-pm-frameworks

Use when scoping AI features, deciding build-vs-buy-vs-rule, designing eval harnesses, choosing models for cost/latency trade-offs, or planning guardrails for LLM-based products. Trigger when the user is doing AI product management work — feasibility, architecture, or reliability decisions for probabilistic systems.

shwetank/bettersense · 70 tokens

chief-ai-officer-advisor

Chief AI Officer advisory for startups: model build-vs-buy decisions (API vs fine-tune vs in-house), AI risk classification under EU AI Act + US state patchwork, AI cost economics (API-to-self-hosted breakeven), and AI team org evolution. Use when deciding whether to call an API or fine-tune, classifying AI use cases…

alirezarezvani/claude-skills · 148 tokens

chief-data-officer-advisor

Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data…

alirezarezvani/claude-skills · 131 tokens

prompt-master

Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other…

nidhinjs/prompt-master · 78 tokens

pgvector-semantic-search

Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. Trigger when user asks to: Store or search vector embeddings in PostgreSQL Set up semantic search, similarity search, or nearest neighbor search Create HNSW or IVFFlat indexes for vectors…

timescale/pg-aiguide · 190 tokens

postgres-hybrid-text-search

Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). Trigger when user asks to: Combine keyword and semantic search Implement hybrid search or multi-modal retrieval Use BM25/pgtextsearch with pgvector together Implement RRF (Reciprocal…

timescale/pg-aiguide · 162 tokens