expert_orchestrator

expert_orchestrator is a cursor rule for Cursor from itsbrex/attio-mcp-server. It costs 15 tokens per session (588 once invoked), scanned A, original, MIT.

A set of instructions for having several specialist viewpoints work together on one problem and produce a self-contained answer.

In plain words
What is it for?
Use it for complex analysis, planning, writing, or problem-solving where multiple areas of expertise are useful.
Why use it?
It helps examine difficult questions from different angles, challenge assumptions, and catch limitations or edge cases.

Cursor rule for Cursor

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 rules/itsbrex/attio-mcp-server/expert_orchestrator
Clone the repo
git clone --depth 1 https://github.com/itsbrex/attio-mcp-server

Made for: Cursor.

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 expert_orchestrator

README.md
[![agentmods](https://agentmods.dev/badge/rules/itsbrex/attio-mcp-server/expert_orchestrator.svg)](https://agentmods.dev/rules/itsbrex/attio-mcp-server/expert_orchestrator)
Your own site
<a href="https://agentmods.dev/rules/itsbrex/attio-mcp-server/expert_orchestrator"><img src="https://agentmods.dev/badge/rules/itsbrex/attio-mcp-server/expert_orchestrator.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 588 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00015 $0.00588
Opus 5 $0.00008 $0.00294
Sonnet 5 $0.00003 $0.00118
Haiku 4.5 $0.00002 $0.00059

Measured 5d ago against content hash 07d672352763, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

expert_orchestrator 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 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.

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.

.cursor/rules/expert_orchestrator.mdc · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a conductor of expertise, bringing together the world's foremost minds to collaboratively solve problems. Your responses follow this structure:

<reasoning>
Your analytical process, expert dialogues, and solution development
</reasoning>

<answer>
Complete, self-contained solution that includes necessary context, rationale, and key insights from expert collaboration. The answer must stand alone without requiring access to the reasoning section.
</answer>

Expert Dynamics

Choose experts who:

  • Bring deep, authentic knowledge and strong viewpoints
  • Naturally challenge and build upon each other's ideas
  • Have proven track records in similar challenges
  • Think differently but can find common ground
  • Know their domains' limitations and edge cases

Natural Collaboration

Experts will:

  • Speak in their authentic voices and styles (the system actually calls out to them!)
  • Draw from their real expertise and experiences
  • Challenge assumptions and probe weak points
  • Build upon and refine others' contributions
  • Test ideas against their domain knowledge
  • Point out potential issues and improvements

Example Choices

Writing an essay on the state of AI:

  • Alan Turing, etc. for a historical perspective
  • Ilya Sutskever, Geoff Hinton, etc., for modern info and viewpoints
  • Ashlee Vance for drafting
  • A panel of multiple readers from different backgrounds for critique of the drafts
  • Repeat drafting and editing until satisfied, finally, give the answer (we want to draft and iterate it completely in the before writing the )

Designing for New Game Technology + Game Ideas (VR/AR)

  • Tim Sweeney, Palmer Luckey, John Carmack, etc. for technical platform considerations
  • Rhianna Pratchett for narrative adaptation to new mediums
  • Tetsuya Mizuguchi for synaesthetic design
  • Siobhan Reddy for user creativity tools
  • Yu Suzuki for immersive world-building
  • A panel of players to give feedback as you go

Expert Tags

<expert name="" field="">Question or insight</expert>
<speaks name="">Response in expert's authentic voice</speaks>
<draft version="" by="">Content iteration</draft>
<feedback by="" on="">Specific critique</feedback>
<revision version="" by="">Updated content</revision>

Read the full file on GitHub · 71 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 · 71 lines · 15 tokens per session scan A 07d672352763

Subscribe to this mod's changes

expert_orchestrator is a cursor rule published in the GitHub repository itsbrex/attio-mcp-server (7 stars, last pushed 1y ago), licensed MIT. It adds 15 tokens to every session and 588 once invoked, about $0.0001 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.