intake

intake is a skill for Claude Code, Codex from nemock/company-brain. It costs 120 tokens per session (5,387 once invoked), scanned A, original, MIT.

A conversation-based tool for capturing company knowledge as small, structured Markdown records in a company knowledge vault. It uses predefined record types and links each claim to a source.

In plain words
What is it for?
Use it to capture company vision, products, customer profiles, competitors, documents, and metrics through guided questions.
Why use it?
It helps turn spoken or interview-style information into consistent, traceable records without guessing or putting information in the wrong place.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for gbrain. Also seen: built for gbrain.

Good fit Use it to capture company vision, products, customer profiles, competitors, documents, and metrics through guided questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nemock/company-brain/intake
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 nemock/company-brain --skill intake
Clone the repo
git clone --depth 1 https://github.com/nemock/company-brain

Made for: Claude Code, Codex.

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/skills/nemock/company-brain/intake.svg)](https://agentmods.dev/skills/nemock/company-brain/intake)
Your own site
<a href="https://agentmods.dev/skills/nemock/company-brain/intake"><img src="https://agentmods.dev/badge/skills/nemock/company-brain/intake.svg" alt="Measured on agentmods" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,387 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 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 $0.00120 $0.05387
Opus 5 $0.00060 $0.02694
Sonnet 5 $0.00024 $0.01077
Haiku 4.5 $0.00012 $0.00539

Measured 7d ago against content hash 3c263a7e92f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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.

skills/intake/SKILL.md · 475 lines

How it starts

The opening of the file, as written. The whole thing — 475 lines — stays where its author put it; the contents beside it link to each section on GitHub.

intake

This skill turns conversation into typed nodes. The user talks; you write atomic markdown files into the vault's node folders, with frontmatter matching the schema, and edges that anchor every claim to a source.

You do not invent facts. You do not write into folders the schema does not have. You do not flip controlled-document boundaries.

Before any sub-mode

Always do these first when the skill is invoked:

  1. Confirm the vault path. Default: the current working directory. Resolve to absolute. Refuse politely if the path has no _system/PROFILE.md — that's how we recognize a vault.
  2. Load the active schema. Run:
    cb describe-profile --path <vault>
    
    This returns JSON with the active profile name, the controlled-document-footer policy, and the full list of active_node_types (each with its folder). Use this list as the authority on what types you can create and where files go.
  3. For any node type you're about to write, run:
    cb describe-node <type>
    
    to get its extra_required_fields. Populate them. Never skip a required field.
  4. Read the user's preferred handle (the verified_by value). Ask once at session start if unset.

Universal node-writing rules

Every node you write must have the base required frontmatter:

---
id: <type>-<kebab-slug>
title: "Human-readable Title"
type: <one of the active types from describe-profile>
namespace: <free-form short string, e.g. "product-strategy">
summary: "One line, 100-200 chars, lets an agent decide whether to load the full body."
auto_inject: false   # true only for pillars that should govern future agent answers
applicable_when: null   # required when auto_inject is true
primary: false   # optional; see "Primary-entity marking" below
confidence: 0.85   # 0.0 to 1.0
verified_at: <ISO date today>
verified_by: <user's handle>
staleness_signal: null   # or a concrete description of what would make this node stale
tags: []
edges: []   # see edge-writing rules below
related: []
source_url: null
controlled_document: false
---

Read the full file on GitHub · 475 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. 7d ago First seen · 475 lines · 120 tokens per session scan A 3c263a7e92f2

Subscribe to this mod's changes

intake is a skill published in the GitHub repository nemock/company-brain (5 stars, last pushed 3mo ago), licensed MIT. It adds 120 tokens to every session and 5,387 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.

Related

Other skills, from other repositories

agent-recall

Persistent compounding memory for AI agents. 5 default MCP tools: sessionstart, sessionend, remember, recall, check. Full surface (18 tools) available with --full flag. Two-verb model: inhale (sessionstart) and exhale (sessionend). Correction-first memory with decision trail tracking, watchfor warnings, palace rooms…

Goldentrii/AgentRecall-X · 157 tokens

swarmvault

Use SwarmVault when the user needs a local-first knowledge vault that writes durable markdown, graph, search, dashboard, review, chat-session, context-pack, task-ledger, static AI export, retrieval, and MCP artifacts to disk from books, notes, transcripts, exports, datasets, slide decks, files, URLs, code, and…

swarmclawai/swarmvault · 76 tokens

linker

Discovers missing cross-domain connections between knowledge documents and creates/updates connection wiki articles.

Yrzhe/pagefly · 20 tokens

tashanzhishi

A workflow for turning YouTube, Bilibili, podcast, or article content into a readable Chinese note stored under a knowledge folder called 他山之石. It separates the source author’s facts and opinions from the note writer’s interpretation.

anneheartrecord/charles-skill · 98 tokens

extract-memory

Extract writing style, personality traits, and key insights from a collection of documents (Markdown, PDF, TXT, DOCX) and save them as a Claude Code memory file. Use when the user wants to capture their writing DNA, build a personal style guide, or create a reusable memory profile from their existing content.

anneheartrecord/charles-skill · 71 tokens

spool

Search your local Claude Code and Codex CLI session history.

anneheartrecord/charles-skill · 14 tokens