domain

domain is an agent for coding agents from semantic-craft/iOS-vibebuddy. It costs 0 tokens per session (550 once invoked), scanned A, a copy of domain, MIT.

A guide for using the repository’s domain notes: `CONTEXT.md` explains project terms, while architecture decision records explain important past choices.

In plain words
What is it for?
Use it before exploring code or changing an area covered by the project context or architecture decisions.
Why use it?
It helps agents understand unfamiliar project language and avoid contradicting decisions already documented. It also identifies which documentation is authoritative.

Agent

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/semantic-craft/ios-vibebuddy/domain
Clone the repo
git clone --depth 1 https://github.com/semantic-craft/iOS-vibebuddy

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 domain

README.md
[![agentmods](https://agentmods.dev/badge/agents/semantic-craft/ios-vibebuddy/domain.svg)](https://agentmods.dev/agents/semantic-craft/ios-vibebuddy/domain)
Your own site
<a href="https://agentmods.dev/agents/semantic-craft/ios-vibebuddy/domain"><img src="https://agentmods.dev/badge/agents/semantic-craft/ios-vibebuddy/domain.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 550 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 77% copy Near-identical to another mod 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 $0.00000 $0.00550
Opus 5 $0.00000 $0.00275
Sonnet 5 $0.00000 $0.00110
Haiku 4.5 $0.00000 $0.00055

Measured today against content hash 6e001c282f3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

domain 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 today.

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.

Origin

This is a copy

77% identical to domain — 40 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

docs/agents/domain.md · 46 lines

What it actually says

Domain Docs

How the engineering skills should consume this repo's domain documentation when exploring the codebase.

This repo is single-context: one CONTEXT.md and one docs/adr/ at the root.

Before exploring, read these

  • CONTEXT.md at the repo root — the project's domain language.
  • docs/adr/ — read ADRs that touch the area you're about to work in.

If any of these files don't exist, proceed silently. Don't flag their absence; don't suggest creating them upfront. The producer skill (/grill-with-docs) creates them lazily when terms or decisions actually get resolved.

File structure

/
├── CONTEXT.md
├── docs/adr/
│   ├── 0001-provider-agnostic-realtime-voice.md
│   ├── 0002-byo-key-direct-to-provider.md
│   ├── 0003-free-no-iap-no-tracking.md
│   ├── 0004-half-duplex-mic-gating-not-aec.md
│   ├── 0005-shared-kit-sessions-platform-audio.md
│   ├── 0006-code-drawn-pet-and-menu-icon.md
│   ├── 0007-ios-pixel-cat-mac-robot.md
│   ├── 0008-voice-actions-via-function-calling.md
│   ├── 0009-daemon-hook-auth.md
│   └── 0010-always-allow-in-vibebuddy-store.md
└── (app sources)

Note: a vendored copy of these skills lives under vendor/mattpocock-skills/ and has its own docs/adr/. Ignore it — the authoritative domain docs are the root CONTEXT.md and root docs/adr/.

Use the glossary's vocabulary

When your output names a domain concept (in an issue title, a refactor proposal, a hypothesis, a test name), use the term as defined in CONTEXT.md. Don't drift to synonyms the glossary explicitly avoids.

If the concept you need isn't in the glossary yet, that's a signal — either you're inventing language the project doesn't use (reconsider) or there's a real gap (note it for /grill-with-docs).

Flag ADR conflicts

If your output contradicts an existing ADR, surface it explicitly rather than silently overriding:

Contradicts ADR-0004 (half-duplex mic gating, not AEC) — but worth reopening because…

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. today Changed · +4 lines 6e001c282f3f
  2. 4d ago First seen · 42 lines · 0 tokens per session scan A 82408f3f1867

Subscribe to this mod's changes

domain is an agent published in the GitHub repository semantic-craft/iOS-vibebuddy (85 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 550 tokens. A static security scan graded it A with 0 findings. It is 77% identical to domain, differing in 40 lines, and is treated as a copy.

Related

Other agents, from other repositories