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 zhuanggenhua/BoardGame --skill before-you-codegit 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/skills/zhuanggenhua/boardgame/before-you-code)<a href="https://agentmods.dev/skills/zhuanggenhua/boardgame/before-you-code"><img src="https://agentmods.dev/badge/skills/zhuanggenhua/boardgame/before-you-code/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/zhuanggenhua/boardgame/before-you-code"><img src="https://agentmods.dev/badge/skills/zhuanggenhua/boardgame/before-you-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00053 | $0.00814 |
| Opus 5 | $0.00026 | $0.00407 |
| Sonnet 5 | $0.00011 | $0.00163 |
| Haiku 4.5 | $0.00005 | $0.00081 |
Grade A, and why
before-you-code 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
Before You Code
先校准任务规模，再读最少必要上下文。不要把已读内容复述成任务回执，也不要无差别加载所有规范。
强制设计入口
只要本轮会新增或修改手写源码、测试、E2E、项目脚本、devtools 或运行时配置，必须先读 code-design。它是 BoardGame 项目内“六大基本原则 / 设计模式选择 / 反模式预防”的唯一执行主源；不能依赖个人系统目录、代码注释、旧 evidence 或局部设计文档来替代。
读完后先判断：本轮是新增 owner、扩展已有 owner、拆分 owner、迁移测试夹具，还是只做紧急最小修复。没有完成这个判断，不得把新能力、新测试组或大段 UI 直接追加到既有文件。
任务规模
| 规模 | 识别条件 | 读取深度 | 执行方式 |
|---|---|---|---|
| 小 | 只改一个独立文件，逻辑不跨模块 | 涉及手写代码 / 测试 / 工具时先读 code-design，再读直接相关规范、项目 workflow 与源文件 |
直接实施 |
| 中 | 涉及 2 至 5 个文件，或影响规则、UI、测试、数据、共享行为其中两项以上 | 涉及手写代码 / 测试 / 工具时先读 code-design，再读 知识导航、全部命中标准、workflow 和关键源文件 |
先锁改动边界，再实施 |
| 大 | 多模块、多步骤依赖、系统架构或 AI 规范结构变更 | 读取 code-design、知识导航和相关入口后停止直接编码 |
先锁定对应入口；本 skill 只覆盖 AI 规范的加载和结构裁决 |
加载顺序
- 根据用户目标和当前文件范围判定任务规模。
- 若会改手写源码、测试、E2E、脚本、devtools 或运行时配置，先读
code-design并完成 owner / 六大原则判断。 - 从 知识导航 选择直接相关的标准和项目 workflow。
- 阅读所选 workflow 的
SKILL.md；只在它明确指向时继续读 references/ 分卷。 - 阅读会被改动的关键源文件、接口和现有测试。
- 小/中任务直接在已锁定范围内继续；大任务先锁定产品任务入口或 AI 规范结构入口，不在上下文不足时试改。
边界
- 简单的本地事实查询、用户明确限定的单文件只读查看、时间查询等不触发本 skill。
- 用户已指定正式流程、skill 或文档时，仍先用知识导航补齐其直接相关的项目标准，不改走平行流程。
- 规则正文只在各专项主源维护；本 skill 只决定读取深度和下钻顺序。
- 产品需求、提案和任务编排由它们自己的系统承担，不由本 skill 路由或校验。
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.
- 3d ago Changed · +7 lines a0c0ff611172
- 9d ago First seen · 32 lines · 53 tokens per session scan A a294e0ece856
before-you-code is a skill published in the GitHub repository zhuanggenhua/BoardGame (22 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 814 once invoked, about $0.0003 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.
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