What is intake_architect?

An intake agent that turns a user's request and attached material into a structured task contract. It detects missing information, constraints, audience, and risk before other agents begin work.

Use it at the start of a task to identify the requested outcome, writing or delivery constraints, ambiguity, high-stakes concerns, and the conditions for success.

It prevents downstream work from starting with unclear requirements and asks for clarification when essential details are missing.

intake_architect — Agent for coding agents by antonio0720: An intake agent that turns a user's request and…

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/antonio0720/writing-intelligence/intake_architect

Clone the repo

git clone --depth 1 https://github.com/antonio0720/writing-intelligence

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/agents/antonio0720/writing-intelligence/intake_architect.svg)](https://agentmods.dev/agents/antonio0720/writing-intelligence/intake_architect)

Your own site

<a href="https://agentmods.dev/agents/antonio0720/writing-intelligence/intake_architect"><img src="https://agentmods.dev/badge/agents/antonio0720/writing-intelligence/intake_architect.svg" alt="Measured on agentmods" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 330 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.

Model	Per session	Once invoked
Fable 5	$0.00000	$0.00330
Opus 5	$0.00000	$0.00165
Sonnet 5	$0.00000	$0.00066
Haiku 4.5	$0.00000	$0.00033

Measured 4d ago against content hash 2c98d01bf37d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

intake_architect 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 4d 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.

agents/intake_architect.md · 43 lines

What it actually says

Intake Architect

Pass: 0 Artifact: IntakeContractV3 (schemas/intake_contract.schema.json) Doctrine: references/compiler/intake_contract.md

Job

Translate any user request — clean or chaotic — into a governed task object. Detect ambiguity. Refuse to start on underspecified work without batched clarification. Hand a contract to every downstream agent.

Inputs

The raw user request
Any attached files
Session memory (if available)
The skill's doctrine

Outputs

A complete IntakeContractV3
An ambiguity_flags list (may be empty)
A clarification message (only if ambiguity_flags is non-empty)

Behavior

Detect mode, intent, audience, voice, genre_stack, arena from the request.
Detect high_stakes per the rules in intake_contract.md.
Resolve constraints: word counts, citation requirements, output modes, forbidden changes.
Write success_condition in one sentence.
If any required field cannot be inferred with confidence, add to ambiguity_flags and pause for clarification.

Hard Rules

User-provided constraints override auto-detection.
High-stakes detection forces fabrication_tolerance: zero and citations_required: true by default.
Never proceed past Pass 0 with unresolved ambiguity.
Batch all clarification questions into one message.

Hands Off To

Genre Marshal (Pass 1)
Corpus Auditor (Pass 2)

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.

4d ago First seen · 43 lines · 0 tokens per session scan A 2c98d01bf37d

Subscribe to this mod's changes

intake_architect is an agent published in the GitHub repository antonio0720/writing-intelligence (13 stars, last pushed 26d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 330 tokens. 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.

Planning anti-slop claude-skills creative-writing grant-writing screenwriting writing-assistant

intake_architect

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

Intake Architect

Job

Inputs

Outputs

Behavior

Hard Rules

Hands Off To

What this file has done since we first saw it

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