domain-context

domain-context is a skill for Codex from BottleYo/model-economy. It costs 42 tokens per session (324 once invoked), scanned A, original, MIT.

A lightweight guide for finding and applying a project's domain terms, business rules, recorded decisions, and constraints. It can read files such as CONTEXT.md and architecture decision records when they exist.

In plain words
What is it for?
Use it when a coding task depends on domain vocabulary, business invariants, project context, or documented architecture decisions.
Why use it?
It reduces the risk of using the wrong terminology or violating rules already established by the project.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents.

Good fit Use it when a coding task depends on domain vocabulary, business invariants, project context, or documented architecture decisions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bottleyo/model-economy/domain-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 BottleYo/model-economy --skill domain-context
Clone the repo
git clone --depth 1 https://github.com/BottleYo/model-economy

Made for: 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 domain-context

README.md
[![agentmods](https://agentmods.dev/badge/skills/bottleyo/model-economy/domain-context/github.svg)](https://agentmods.dev/skills/bottleyo/model-economy/domain-context)
Your own site
<a href="https://agentmods.dev/skills/bottleyo/model-economy/domain-context"><img src="https://agentmods.dev/badge/skills/bottleyo/model-economy/domain-context/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for domain-context

Your own site · 80×15
<a href="https://agentmods.dev/skills/bottleyo/model-economy/domain-context"><img src="https://agentmods.dev/badge/skills/bottleyo/model-economy/domain-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 324 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 $0.00042 $0.00324
Opus 5 $0.00021 $0.00162
Sonnet 5 $0.00008 $0.00065
Haiku 4.5 $0.00004 $0.00032

Measured 9d ago against content hash 4de620fedcfd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

domain-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 9d 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.

plugins/model-economy/skills/domain-context/SKILL.md · 25 lines

What it actually says

领域上下文

用项目已经拥有的语言和决策约束当前工作,避免重新发明术语或凭空假设业务规则。

边界

  • 不得启动 subagent,不得改变任务分类、模型选择、角色或质量门。
  • 不得自行提交、发布或创建 issue。
  • 只读取与当前目标直接相关的项目指令、领域词汇表、CONTEXT.mdCONTEXT-MAP.md 和 ADR;不存在时继续工作,不强制建立一套新文档体系。
  • 未经当前任务授权,不修改领域文档。不得把密钥、个人数据、生产数据或内部地址写入共享文档。

方法

  1. 从用户目标和现有文档中提取本次真正会用到的术语、参与者、状态与不变量。
  2. 标出代码用词与领域用词不一致之处,以及当前方案与已有 ADR 的冲突。
  3. 将结论压缩成最小上下文:术语含义、不变量、已记录决策、仍未知事项。
  4. 若用户要求更新文档,只改直接相关内容,并保持原有文档结构与语言。

输出服务于当前实现或审查,不产生独立流程。

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 25 lines · 42 tokens per session scan A 4de620fedcfd

Subscribe to this mod's changes

domain-context is a skill published in the GitHub repository BottleYo/model-economy (5 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 324 once invoked, about $0.0002 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.

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