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 instructions/1072636071/win-shell-mcp/agents-mdgit 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/instructions/1072636071/win-shell-mcp/agents-md)<a href="https://agentmods.dev/instructions/1072636071/win-shell-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/1072636071/win-shell-mcp/agents-md.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 | $0.00480 | $0.00480 |
| Opus 5 | $0.00240 | $0.00240 |
| Sonnet 5 | $0.00096 | $0.00096 |
| Haiku 4.5 | $0.00048 | $0.00048 |
Grade A, and why
win-shell-mcp AGENTS.md 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
多代理要求
AGENTS.md 和 CODEBUDDY.md 内容必须保持一致。
设计原则
交互与输出设计总纲——四层优先级链(ADR-0016),优先级从高到低:
- 交互轮速最少(用户输入轮次最少)
- LLM 请求次数最少
- 输出 token 最少
- 输入 token 最少
下游项是上游项的让步对象:为少一轮可多请求;为少一次请求可多输出;为少输出可多输入。
极简不等于丢信息:省 token 不得迫使 AI 再发一轮才能得到答案。极简的底线是「信息足够一轮内完成决策」——宁可多输出一点,也不因省略关键字段而引发追问、增加重复对话成本。
Agent skills
Issue tracker
Issue 以本地 markdown 文件形式存放在仓库 .scratch/ 下。参见 docs/agents/issue-tracker.md。
triage 标签
五个标准 triage 角色的标签字符串等于其名称(如 needs-triage、wontfix)。参见 docs/agents/triage-labels.md。
领域文档
单一上下文:仓库根目录 CONTEXT.md + docs/adr/。参见 docs/agents/domain.md。
临时文件
所有临时脚本统一放在仓库 .temp/scripts/ 下;其他临时文件(脚本输出、日志等)也要分类,放在 .temp/ 的子目录下(如 .temp/output/、.temp/logs/),保证仓库根目录干净。
AI 工具速查表
agent 建立工具概览时优先读 docs/ai-tool-cheatsheet.md(按 15 命令域分节的四列表格:正名|一句话用途|关键参数|别名)而非整个 README;结构与 registry 对账(tests/tools/guard-cheatsheet.test.ts),别名以 registry 为单一事实源。
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 · 39 lines · 480 tokens per session scan A 6faa01264756
win-shell-mcp AGENTS.md is an instructions file published in the GitHub repository 1072636071/win-shell-mcp (0 stars, last pushed 4d ago), licensed Apache-2.0. It adds 480 tokens to every session, about $0.0024 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.