ask-matt

ask-matt is a skill for Claude Code from RudyCity/superagent. It costs 26 tokens per session (1,073 once invoked), scanned A, a copy of ask-matt, MIT.

A guide for choosing the right skill or work path when you are unsure how to proceed. It describes routes from shaping an idea through planning, prototyping, and delivery.

In plain words
What is it for?
Use it to decide whether to interview about an idea, prototype a question, create a product requirements document, split work into issues, or follow another documented workflow.
Why use it?
It removes the need to remember every available skill and helps match a task to an appropriate next step.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to decide whether to interview about an idea, prototype a question, create a product requirements document, split work into issues, or follow another documented workflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rudycity/superagent/ask-matt
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 RudyCity/superagent --skill ask-matt
Clone the repo
git clone --depth 1 https://github.com/RudyCity/superagent

Made for: Claude Code.

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 ask-matt

README.md
[![agentmods](https://agentmods.dev/badge/skills/rudycity/superagent/ask-matt/github.svg)](https://agentmods.dev/skills/rudycity/superagent/ask-matt)
Your own site
<a href="https://agentmods.dev/skills/rudycity/superagent/ask-matt"><img src="https://agentmods.dev/badge/skills/rudycity/superagent/ask-matt/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 ask-matt

Your own site · 80×15
<a href="https://agentmods.dev/skills/rudycity/superagent/ask-matt"><img src="https://agentmods.dev/badge/skills/rudycity/superagent/ask-matt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,073 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 88% copy Near-identical to another mod 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 $0.00026 $0.01073
Opus 5 $0.00013 $0.00536
Sonnet 5 $0.00005 $0.00215
Haiku 4.5 $0.00003 $0.00107

Measured 10d ago against content hash d0977a664464, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ask-matt 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 10d 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.

Origin

This is a copy

88% identical to ask-matt — 37 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/ask-matt/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ask Matt

You don't remember every skill, so ask.

A flow is a path through the skills. Most paths run along one main flow, and two on-ramps merge onto it. Everything else is standalone.

The main flow: idea → ship

The route most work travels. You have an idea and want it built.

  1. /grill-with-docs — sharpen the idea by interview. Start here when you have a codebase: it's stateful, retaining what it learns in CONTEXT.md and ADRs. (No codebase? Use /grill-me — see Standalone.)
  2. Branch — can you settle every question in conversation? If a question needs a runnable answer (state, business logic, a UI you have to see), detour through a prototype, bridged by /handoff in both directions (see Crossing sessions):
    • /handoff out, then open a fresh session against that file,
    • /prototype to answer the question with throwaway code,
    • /handoff back what you learned, and reference it from the original idea thread.
  3. Branch — is this a multi-session build?
    • Yes/to-prd (turn the thread into a PRD) → /to-issues (split the PRD into independently-grabbable issues). Because the issues are independent, clear context between each one: start a fresh session per issue and kick off /implement by passing it the PRD and the single issue to work on.
    • No/implement right here, in the same context window.

Context hygiene

Keep steps 1–3 in one unbroken context window — don't compact or clear until after /to-issues — so the grilling, PRD, and issues all build on the same thinking. Each /implement then starts fresh, working from the issue.

The limit on this is the smart zone: the window (~120k tokens on state-of-the-art models) within which the model still reasons sharply. If a session approaches it before /to-issues, don't push on degraded — /handoff and continue in a fresh thread.

On-ramps

Read the full file on GitHub · 63 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. 10d ago First seen · 63 lines · 26 tokens per session scan A d0977a664464

Subscribe to this mod's changes

ask-matt is a skill published in the GitHub repository RudyCity/superagent (21 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 1,073 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to ask-matt, differing in 37 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens