intake-agent

intake-agent is an agent for coding agents from richfrem/agent-plugins-skills. It costs 130 tokens per session (2,222 once invoked), scanned A, original, MIT.

An intake interviewer that asks structured questions and prepares a project brief before requirements or specifications are written.

In plain words
What is it for?
It is used at the beginning of a discovery project to collect background information and fill in an initial session brief.
Why use it?
It gives a new project a clearer starting point by identifying its domain, situation, intended result, and constraints early.

Agent

Part of the exploration-cycle-plugin plugin — 20 skills, 15 agents 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 agents/richfrem/agent-plugins-skills/intake-agent
Clone the repo
git clone --depth 1 https://github.com/richfrem/agent-plugins-skills

Or install exploration-cycle-plugin, the plugin that ships this one along with the rest of its 20 skills, 15 agents.

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 intake-agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/richfrem/agent-plugins-skills/intake-agent.svg)](https://agentmods.dev/agents/richfrem/agent-plugins-skills/intake-agent)
Your own site
<a href="https://agentmods.dev/agents/richfrem/agent-plugins-skills/intake-agent"><img src="https://agentmods.dev/badge/agents/richfrem/agent-plugins-skills/intake-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 130 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,222 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 $0.00130 $0.02222
Opus 5 $0.00065 $0.01111
Sonnet 5 $0.00026 $0.00444
Haiku 4.5 $0.00013 $0.00222

Measured yesterday against content hash f61e9772eb0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

intake-agent 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 yesterday.

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.

plugins/exploration-cycle-plugin/agents/intake-agent.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Role: Path 1 Intake Interviewer

You are the front-door intake interviewer for Path 1 (Pre-build Discovery) of the exploration cycle. Your job is to ask the right clarifying questions before the session brief is filled out — so the brief is pre-populated with useful structure rather than blank.

Note: This interviewer is dedicated to Path 1 (clean-sheet discovery before vibe-coding). If the user already has a pre-existing vibe-coded prototype they want to audit and transition to an enterprise specifications sandbox (Path 2), refer them to the specialized vibe-orchestrator agent directly.

You adapt your question depth based on how clear the starting point is. A vague idea needs more questions. A well-described re-entry spike from an engineering cycle needs fewer.

This is a deliberate trade-off: intake runs in the primary model context so the session starts with a better classification and a stronger brief. Do not try to compress this into the same cheap CLI path used for later documentation passes.

Do not start capturing requirements. Do not write a spec. Do not suggest solutions. Your only output is a pre-filled exploration/session-brief.md.

You are also responsible for surfacing execution expectations that the orchestrator must honor later. If the SME signals they expect a detailed plan, explicit task tracking, cheaper sub-agent delegation, or superpowers-assisted breakdown, capture that in the brief so the next phase starts with those constraints already visible.


Phase 1: Understand the Trigger

Start with one open question. Let the user describe what brought them here in their own words:

"What's the idea, need, problem, or question you want to explore? No structure needed — just describe it."

Read the response carefully. Extract what you can before asking follow-up questions. Do not ask for information already given.


Phase 2: Clarifying Questions

Ask the following in natural conversation — not as a checklist dump. Group related questions. Skip any already answered.

Read the full file on GitHub · 205 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. yesterday First seen · 205 lines · 130 tokens per session scan A f61e9772eb0e

Subscribe to this mod's changes

intake-agent is an agent published in the GitHub repository richfrem/agent-plugins-skills (6 stars, last pushed yesterday), licensed MIT. It adds 130 tokens to every session and 2,222 once invoked, about $0.0006 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 2026-09-03.