domain

A repository guide that defines the project's terminology and directs coding agents to its context file and architecture decision records. A repository is the set of files and history that make up a software project.

In plain words
What is it for?
Use it before architecture, diagnosis, test-driven development (writing tests before implementation), triage, roadmap work, or selector-capture tasks.
Why use it?
It helps agents understand the project's local rules before planning changes, diagnosing problems, or designing architecture.

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/callstack/agent-device/domain
Clone the repo
git clone --depth 1 https://github.com/callstack/agent-device
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 126 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 $0.00126
Opus 5 $0.00000 $0.00063
Sonnet 5 $0.00000 $0.00025
Haiku 4.5 $0.00000 $0.00013

Measured 2d ago against content hash e07c39ab8910, 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 2d 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 · 12 lines

What it actually says

Domain Docs

Single-context repo. Before architecture, diagnosis, TDD, triage, PRD, or roadmap work, read CONTEXT.md for domain vocabulary and the relevant ADRs in docs/adr/. Selector-capture work also reads docs/agents/selector-capture.md.

Use CONTEXT.md vocabulary in issue titles, refactor proposals, test names, and architecture notes. If a proposed change contradicts an ADR, say so explicitly and explain why the decision should be reopened.

AGENTS.md routes to the rest of this directory by task type.

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. 2d ago First seen · 12 lines · 0 tokens per session scan A e07c39ab8910

Subscribe to this mod's changes

domain is an agent published in the GitHub repository callstack/agent-device (4,300 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 126 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 2026-08-30.

Related

Other agents, from other repositories

team-reviewer

Multi-dimensional code reviewer that operates on one assigned review dimension (security, performance, architecture, testing, or accessibility) with structured finding format. Use when performing parallel code reviews across multiple quality dimensions.

wshobson/agents · 43 tokens

backend-api-security-backend-security-coder

Expert in secure backend coding practices specializing in input validation, authentication, and API security. Use PROACTIVELY for backend security implementations or security code reviews.

wshobson/agents · 40 tokens

agent-orchestration-context-manager

Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with 2024/2025 best practices. Use PROACTIVELY for complex AI…

wshobson/agents · 66 tokens

basic-agents

A basic agent uses a predefined strategy with a simple execution flow that works for most common use cases. It accepts a string input (a question, request, or task description) and sends this input to the configured LLM. The LLM may decide to call provided tools. The agent will execute the tools and send the results…

JetBrains/koog · 0 tokens

explainer

Code explanation and architecture walkthroughs. Helps developers understand complex code and systems.

AgentWorkforce/relay · 18 tokens

fixer

Use for quick fixes, hotfixes, urgent patches, and time-sensitive bug repairs.

AgentWorkforce/relay · 21 tokens