domain

domain is an agent for coding agents from jopa79/kanban-mcp. It costs 0 tokens per session (589 once invoked), scanned A, original, MIT.

A set of instructions for using a repository's domain documentation while exploring its code. Domain documentation explains the business concepts, system areas, and design decisions behind a codebase.

In plain words
What is it for?
For reading files such as `CONTEXT.md`, context maps, and architecture decision records when investigating or modifying a repository.
Why use it?
It helps an agent understand project-specific terms and decisions before changing code, reducing the risk of proposing changes that conflict with how the system works.

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/jopa79/kanban-mcp/domain
Clone the repo
git clone --depth 1 https://github.com/jopa79/kanban-mcp

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/jopa79/kanban-mcp/domain.svg)](https://agentmods.dev/agents/jopa79/kanban-mcp/domain)
Your own site
<a href="https://agentmods.dev/agents/jopa79/kanban-mcp/domain"><img src="https://agentmods.dev/badge/agents/jopa79/kanban-mcp/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 589 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 $0.00000 $0.00589
Opus 5 $0.00000 $0.00295
Sonnet 5 $0.00000 $0.00118
Haiku 4.5 $0.00000 $0.00059

Measured 4d ago against content hash e067dc69b4cd, 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 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.

docs/agents/domain.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Domain Docs

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

Before exploring, read these

  • CONTEXT.md at the repo root, or
  • CONTEXT-MAP.md at the repo root if it exists — it points at one CONTEXT.md per context. Read each one relevant to the topic.
  • docs/decisions/ — read ADRs that touch the area you're about to work in. In multi-context repos, also check src/<context>/docs/decisions/ for context-scoped decisions.

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

File structure

Single-context repo (most repos, including this one):

/
├── CONTEXT.md
├── docs/decisions/
│   ├── 0001-spalten-in-config-statt-datenbank.md
│   └── 0002-kein-force-in-mcp-tools.md
└── src/

Multi-context repo (presence of CONTEXT-MAP.md at the root):

/
├── CONTEXT-MAP.md
├── docs/decisions/                     ← system-wide decisions
└── src/
    ├── ordering/
    │   ├── CONTEXT.md
    │   └── docs/decisions/             ← context-specific decisions
    └── billing/
        ├── CONTEXT.md
        └── docs/decisions/

Note on the ADR path. The upstream skill templates use docs/adr/. This repo uses docs/decisions/ instead, matching the global convention in the user's ~/.claude/CLAUDE.md. When a skill's own text refers to docs/adr/, read and write docs/decisions/ here.

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 /domain-modeling).

Read the full file on GitHub · 54 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. 4d ago First seen · 54 lines · 0 tokens per session scan A e067dc69b4cd

Subscribe to this mod's changes

domain is an agent published in the GitHub repository jopa79/kanban-mcp (0 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 589 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 2026-08-31.