Borrowing it
Nothing to install: this file belongs to zhuanggenhua/BoardGame. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zhuanggenhua/BoardGame/main/AGENTS.mdgit clone --depth 1 https://github.com/zhuanggenhua/BoardGameWrote 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/zhuanggenhua/boardgame/agents-md)<a href="https://agentmods.dev/instructions/zhuanggenhua/boardgame/agents-md"><img src="https://agentmods.dev/badge/instructions/zhuanggenhua/boardgame/agents-md/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/instructions/zhuanggenhua/boardgame/agents-md"><img src="https://agentmods.dev/badge/instructions/zhuanggenhua/boardgame/agents-md.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 | $0.00139 | $0.00139 |
| Opus 5 | $0.00069 | $0.00069 |
| Sonnet 5 | $0.00028 | $0.00028 |
| Haiku 4.5 | $0.00014 | $0.00014 |
Grade A, and why
BoardGame 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 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.
What it actually says
BoardGame 入口
本项目有两个彼此独立的入口：
- AI 规范：所有项目内工作先完整阅读
.spec/AGENTS.md。它规定 AI 如何加载项目知识、执行 workflow 和遵守硬边界。 - 产品任务编排：当任务涉及产品需求、提案、能力变更或任务清单时，另行阅读
openspec/AGENTS.md。它只管理产品规格与任务，不是 AI 规范来源。
两个入口互不复制正文。根文件只负责让宿主找到它们。
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.
- 9d ago First seen · 9 lines · 139 tokens per session scan A 424742d25f1f
BoardGame AGENTS.md is an instructions file published in the GitHub repository zhuanggenhua/BoardGame (22 stars, last pushed yesterday), licensed MIT. It adds 139 tokens to every session, about $0.0007 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 2026-08-30.
Other instructions, from other repositories
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langchain AGENTS.md
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deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.