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 agentmods add agents/1072636071/win-shell-mcp/domaingit clone --depth 1 https://github.com/1072636071/win-shell-mcpWrote 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/agents/1072636071/win-shell-mcp/domain)<a href="https://agentmods.dev/agents/1072636071/win-shell-mcp/domain"><img src="https://agentmods.dev/badge/agents/1072636071/win-shell-mcp/domain.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00565 |
| Opus 5 | $0.00000 | $0.00282 |
| Sonnet 5 | $0.00000 | $0.00113 |
| Haiku 4.5 | $0.00000 | $0.00056 |
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 3d 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
领域文档
工程技能在探索代码库时应如何使用此仓库的领域文档。
探索前，先阅读这些
- 仓库根目录的
CONTEXT.md，或 - 仓库根目录的
CONTEXT-MAP.md（如果存在）——它指向每个上下文的一个CONTEXT.md。阅读与主题相关的每个。 docs/adr/— 阅读涉及你即将处理区域的 ADR。在多上下文仓库中，也要检查src/<context>/docs/adr/中的上下文范围决策。
如果这些文件不存在，静默继续。不要标记它们的缺失；不要主动建议创建它们。/jxx-domain-modeling 技能（通过 /jxx-grill-with-docs 和 /jxx-improve-codebase-architecture 到达）在术语或决策实际被确定时惰性创建它们。
文件结构
单上下文仓库（大多数仓库）：
/
├── CONTEXT.md
├── docs/adr/
│ ├── 0001-event-sourced-orders.md
│ └── 0002-postgres-for-write-model.md
└── src/
多上下文仓库（根目录存在 CONTEXT-MAP.md）：
/
├── CONTEXT-MAP.md
├── docs/adr/ ← 系统级决策
└── src/
├── ordering/
│ ├── CONTEXT.md
│ └── docs/adr/ ← 上下文特定决策
└── billing/
├── CONTEXT.md
└── docs/adr/
使用词汇表的词汇
当你的输出命名领域概念时（在 issue 标题、重构提案、假设、测试名称中），使用 CONTEXT.md 中定义的术语。不要漂移到词汇表明确避免的同义词。
如果你需要的概念尚未在词汇表中，这是一个信号——要么你在发明项目不使用的语言（重新考虑），要么确实存在缺口（记录给 /jxx-domain-modeling）。
标记 ADR 冲突
如果你的输出与现有 ADR 矛盾，明确地提出而非默默地覆盖：
与 ADR-0007（事件溯源订单）矛盾——但值得重新审视，因为…
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.
- 3d ago First seen · 51 lines · 0 tokens per session scan A 856253f7b32b
domain is an agent published in the GitHub repository 1072636071/win-shell-mcp (0 stars, last pushed 4d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 565 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.
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