intake

intake is a command for Claude Code from frankxai/Starlight-Intelligence-System. It costs 42 tokens per session (1,628 once invoked), scanned A, original, MIT.

An intake command that sorts a newcomer or request into one of four routes: shared foundation, alliance, specialised area, or self-managed workspace.

In plain words
What is it for?
Use it to check for a concrete problem, preferred output, time horizon, and ownership, then route the request or ask up to three clarifying questions.
Why use it?
It stops vague or incomplete requests from being routed prematurely and identifies the missing information first.

Command for Claude Code

Part of the starlight-intelligence-system plugin — 5 skills, 121 commands, 67 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 commands/frankxai/starlight-intelligence-system/intake
Clone the repo
git clone --depth 1 https://github.com/frankxai/Starlight-Intelligence-System

Made for: Claude Code.

Or install starlight-intelligence-system, the plugin that ships this one along with the rest of its 5 skills, 121 commands, 67 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

README.md
[![agentmods](https://agentmods.dev/badge/commands/frankxai/starlight-intelligence-system/intake.svg)](https://agentmods.dev/commands/frankxai/starlight-intelligence-system/intake)
Your own site
<a href="https://agentmods.dev/commands/frankxai/starlight-intelligence-system/intake"><img src="https://agentmods.dev/badge/commands/frankxai/starlight-intelligence-system/intake.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,628 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 5.1 $0.00042 $0.01628
Opus 5 $0.00021 $0.00814
Sonnet 5 $0.00008 $0.00326
Haiku 4.5 $0.00004 $0.00163

Measured 5d ago against content hash 9671825804da, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

intake 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.

.claude/commands/intake.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/intake

Load SIP.md, VERTICALS.md, ALLIANCE.md (if present), VOICES.md. Also load agents/starlight-concierge.md — if the file is not yet present in this release, proceed with Navigator + Orchestrator voice and emit a one-line notice: concierge agent not yet loaded — proceeding with Navigator + Orchestrator. Triage the inbound. Route to exactly one next command, or halt with a readiness gap named.

Input

$ARGUMENTS

Process

  1. Scan for readiness signals. An inbound is ready when all four are present:

    • Named problem. A concrete target, not a mood. "I want to compose my catalog" is a mood. "My 140-song Suno catalog has no search layer and I lose ideas" is a problem.
    • Preferred format. Essay, repo, session, artifact. If unstated, infer from the inbound shape and name the inference.
    • Time horizon. A week, a cycle, a quarter. "Someday" is not a horizon.
    • Sovereignty. They own the domain they are describing — not asking Frank to own it for them.

    If any signal is missing, emit at most 3 clarifying questions, one per missing signal, and halt. Do not route an unready inbound. Log the halt to memory/intake/ with reason.

  2. Classify the route. Apply in order; first match wins.

    • Route A — Substrate contribution. The inbound proposes changing SIP itself — a new layer, a changed attestation format, a protocol invariant. High bar. Routes to /luminor-board, then (if REVISE or PROCEED) to /sip-attest on the proposed change set.
    • Route B — Alliance forge. The inbound is about composing intelligence systems across parties and the newcomer can name ≥2 sovereign collaborators with non-overlapping domains. Routes to /alliance-forge.
    • Route C — Vertical spawn. The inbound is about one domain the newcomer owns and wants a system for — creator catalog, wealth thesis engine, personal OS, creative world, research stack. Routes to /vertical-spawn.
    • Route D — Sovereign spawn. The inbound is about forking the whole substrate pattern to run their own ecosystem under their own name. Routes to /sovereign-spawn with sovereign-tier scaffolding and a /<name>-* command namespace.
    • No clean fit. Emit ONE clarifying question that forces a route. Re-classify. Do not route on ambiguity.

Read the full file on GitHub · 99 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 · 99 lines · 42 tokens per session scan A 9671825804da

Subscribe to this mod's changes

intake is a command published in the GitHub repository frankxai/Starlight-Intelligence-System (8 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 1,628 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 2026-08-31.