A method for exploring a difficult choice by considering how named experts might reason about it. It is meant to show different viewpoints, not simply choose an answer.

Use it to compare expert perspectives on design decisions, competing options, or problems where you want to understand the reasoning behind different conclusions.

It helps when the issue depends on judgment, taste, or trade-offs that do not have one factual solution.

consult — Skill for Claude Code and Codex by saadshahd

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 saadshahd/moo.md --skill consult

Clone the repo

git clone --depth 1 https://github.com/saadshahd/moo.md

Made for: Claude Code, Codex.

Or install hope, the plugin that ships this one along with the rest of its 20 skills, 1 command, 3 hooks.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/saadshahd/moo.md/consult.svg)](https://agentmods.dev/skills/saadshahd/moo.md/consult)

Your own site

<a href="https://agentmods.dev/skills/saadshahd/moo.md/consult"><img src="https://agentmods.dev/badge/skills/saadshahd/moo.md/consult.svg" alt="Measured on agentmods" height="20"></a>

Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 409 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 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.

Model	Per session	Once invoked
Fable 5.1	$0.00034	$0.00409
Opus 5	$0.00017	$0.00204
Sonnet 5	$0.00007	$0.00082
Haiku 4.5	$0.00003	$0.00041

Measured today against content hash 6b5c38e6fcc6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

consult 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 today.

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.

hope/skills/consult/SKILL.md · 27 lines

What it actually says

Pick

Read profiles/ and match the question's domain. Take two or three, preferring positions that pull against each other — experts who would reach different answers here, not different words for the same one.

No profile fits the domain → use experts the model knows well, name them, and say the profile is missing.

Voice

Each expert's thinking goes into the user's head one at a time. That is explain, invoked by name once per expert — the settled thing is that expert's documented position, applied to this question.

Ground every take in the profile or the expert's documented work, reasoning in their own voice — "Fowler argues…", "Hickey would push back…" — carrying the reasoning itself, not a verdict label.
Where they disagree, name the disagreement and both sides, and leave it standing. Easy agreement means the picking was wrong — swap one and voice it.
The user drives from there. Each pull is deeper on one expert, a different perspective, or who would push back on this. Answer the pull, then wait for the next.

The loop ends when the user says they are done, or starts deciding. Where it ended because they started deciding, the consulting is over at that moment: what the experts said stands as said, and the decision is theirs alone.

Result

The experts' reasoning is the result, and it lives in the user's head. No recap, no closing recommendation, no verdict assembled out of what they said. Every disagreement between them stays open. The user decides.

The question has one retrievable answer → retrieve it; stating a fact needs no expert. The user wants a verdict on something that exists → use judge skill. The user wants a proposal they already committed to attacked → use interrogate skill.

Files

What ships with it

60 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.

today Changed · -25 lines 6b5c38e6fcc6
8d ago First seen · 52 lines · 34 tokens per session scan A e4b9aafd230f

Subscribe to this mod's changes

consult is a skill published in the GitHub repository saadshahd/moo.md (34 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 409 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 2026-08-30.

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