intake

A browser-based question form that helps a team define the words and concepts used in a codebase. The answers are saved on disk and used to build a glossary.

In plain words
What is it for?
Use it to ask phased questions, review submitted answers, check intake progress, and render the project’s glossary.
Why use it?
It records shared meanings instead of leaving important domain knowledge in informal conversations.

Skill for Claude CodeCodex

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 skills/shinyobjectz/montology/intake
Any agent
npx skills add shinyobjectz/montology --skill intake
Clone the repo
git clone --depth 1 https://github.com/shinyobjectz/montology

Made for: Claude Code, Codex.

Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,438 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 $0.00122 $0.01438
Opus 5 $0.00061 $0.00719
Sonnet 5 $0.00024 $0.00288
Haiku 4.5 $0.00012 $0.00144

Measured yesterday against content hash c1a08f8ab453, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 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.

.plugin/skills/intake/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

The intake: the words come from the people, the gate comes from the db

A fresh monty init leaves an empty ontology. The code has names; the people have meanings; nobody has written down which is which. The intake asks — in a form, because a form is a record and a chat is not — and ends with monty onto add, never with prose. Everything lands in .monty/answers/.

The loop

monty intake ask <phase.json>       # serves the form, BLOCKS until submitted, writes .monty/answers/<phase>.answers.json
monty intake answers                # everything answered so far, merged — read this before writing the next phase
monty intake status                 # what is open, what is answered, whether the glossary is rendered
monty intake glossary --open        # the closing page: the whole ontology, rendered from the database

ask blocks until the submit — run it with the Bash tool's run_in_background and keep working; the process exits the moment the answers land, which re-invokes you with the result line answered .monty/answers/<phase>.answers.json (N answers). If you would rather watch the file than the process, a Monitor on until [ -f .monty/answers/<phase>.answers.json ]; do sleep 1; done; echo answered gives the same single notification. Tell the person the form has opened (the URL is the first line ask prints) and that the next round opens when it is ready — never poll them in chat for answers the form is collecting.

Phase 1 — the domain (fixed)

phases/1-domain.json in this skill folder is the opening round; serve it as-is. It asks what the system is, who it serves, what the central things are called, which words cause arguments, and what frameworks' words are spoken at the boundary.

Phase 2 — what the code is asking for (written from phase 1 + the scan)

Run monty scan --candidates 15 (and monty explain if the repo is unfamiliar). Copy phases/2-candidates.json and REWRITE it: one question per load-bearing candidate, quoting the count (the code declares "Harness" 14 times — what is it?), with the phase 1 answers shaping the options. A phase 2 that could have been asked of any repo is one you did not write. Keep it to 6–10 questions; every question exists because the scan or a phase 1 answer raised it.

Read the full file on GitHub · 106 lines

Files

What ships with it

3 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.

  1. yesterday First seen · 106 lines · 122 tokens per session scan A c1a08f8ab453

Subscribe to this mod's changes

intake is a skill published in the GitHub repository shinyobjectz/montology (1 stars, last pushed 7d ago), licensed Apache-2.0. It adds 122 tokens to every session and 1,438 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 2026-08-31.

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