company-context

company-context is a skill for Claude Code, Codex from nocodework/ai-context-kit. It costs 101 tokens per session (1,193 once invoked), scanned A, original, MIT.

An interview process for creating a reusable company context file for AI tools. The file records what a company offers, who it serves, how it is positioned, and how it communicates.

In plain words
What is it for?
Use it to build or update company-context.md through small batches of questions, covering the company, its offer, customers, personas, voice, and common customer questions.
Why use it?
It gives AI a shared source of business information so it is less likely to guess when answering customers or writing content.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md.

Good fit Use it to build or update company-context.md through small batches of questions…

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Install with agentmods
npx agentmods add skills/nocodework/ai-context-kit/company-context
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 nocodework/ai-context-kit --skill company-context
Clone the repo
git clone --depth 1 https://github.com/nocodework/ai-context-kit

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 company-context

README.md
[![agentmods](https://agentmods.dev/badge/skills/nocodework/ai-context-kit/company-context.svg)](https://agentmods.dev/skills/nocodework/ai-context-kit/company-context)
Your own site
<a href="https://agentmods.dev/skills/nocodework/ai-context-kit/company-context"><img src="https://agentmods.dev/badge/skills/nocodework/ai-context-kit/company-context.svg" alt="Measured on agentmods" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,193 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 $0.00101 $0.01193
Opus 5 $0.00051 $0.00596
Sonnet 5 $0.00020 $0.00239
Haiku 4.5 $0.00010 $0.00119

Measured 7d ago against content hash 832e232700dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

company-context 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/company-context/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

company-context — build a reusable company context file

Interview the user about their company and write a clean company-context.md they can feed into any AI tool so it answers clients, writes content and proposals in the company's voice, and stops guessing the business.

If company-context.md already exists in the current directory, read it first, give the user a two-line summary, and ask what has changed — then update those parts and refresh the Last updated line. Don't re-run the interview from scratch and don't overwrite their file without confirmation.

How to run the interview

  • Ask in small batches (3–5 at a time), conversational, not a giant form.
  • Interview and write the file in the user's language — if they write in Polish, ask and write in Polish.
  • Pre-fill from anything you can see (their site if they share it, the repo, earlier messages) and ask them to confirm rather than re-asking.
  • Sections 1–3 (the company, offer, customers) are the core — cover them first, then offer the rest; a file with just the core is already useful, so let the user stop there if they want.
  • On "I don't know": give one concrete example answer; if they still don't know, skip the point and move on — don't push.
  • After the core questions, proactively flag gaps: name 2–4 specific things that are missing and would make the context more useful (e.g. "you haven't described your ideal customer's main pain — want to add it?").
  • If they have several distinct services or audiences, capture each briefly rather than blending them.
  • When done, write the file (see Output) in their own wording and tone.

What to cover

  1. The company — name, a one-line description of what it does, website, stage/size.
  2. Offer — products/services, who each is for, pricing model (optional), and what genuinely makes it different (the real differentiators, not slogans).
  3. Customers — the ideal customer (industry, size, role), the problem you solve, the outcome you deliver, and 2–3 real (or anonymised) client examples.
  4. Personas — the key people involved: who decides to buy, who actually uses it, and each one's main goals and pains.
  5. Positioning & messaging — the category you compete in, your value proposition in a sentence, proof/credibility, and competitors you're often compared to.
  6. Voice — tone, words and phrases to use, and ones to avoid; any brand or style rules.
  7. Team — key people and who does what (optional).
  8. Client-facing know-how — the questions clients ask most often (with your answers), common objections and how you handle them, and your typical process from first contact to delivery.
  9. Anything else — an open prompt for what any AI should know to represent the company well.

Read the full file on GitHub · 56 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 · 56 lines · 101 tokens per session scan A 832e232700dd

Subscribe to this mod's changes

company-context is a skill published in the GitHub repository nocodework/ai-context-kit (24 stars, last pushed 2mo ago), licensed MIT. It adds 101 tokens to every session and 1,193 once invoked, about $0.0005 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 2026-08-30.

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