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.
npx skills add BottleYo/model-economy --skill domain-contextgit clone --depth 1 https://github.com/BottleYo/model-economyWrote 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.
[](https://agentmods.dev/skills/bottleyo/model-economy/domain-context)<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.
<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>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.00324 |
| Opus 5.5 | $0.00017 | $0.00130 |
| Sonnet 5.5 | $0.00008 | $0.00065 |
| Haiku 4.5 | $0.00004 | $0.00032 |
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 2mo 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.
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.md、CONTEXT-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
- 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。
- 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。
- 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。
- 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。
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.
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.
- 2mo ago First seen · 25 lines · 42 tokens per session scan A 4de620fedcfd
domain-context is a skill published in the GitHub repository BottleYo/model-economy (6 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 5.5. 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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