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 game-audit-workflowgit 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/game-audit-workflow)<a href="https://agentmods.dev/skills/zhuanggenhua/boardgame/game-audit-workflow"><img src="https://agentmods.dev/badge/skills/zhuanggenhua/boardgame/game-audit-workflow/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/game-audit-workflow"><img src="https://agentmods.dev/badge/skills/zhuanggenhua/boardgame/game-audit-workflow.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 | $0.00038 | $0.01239 |
| Opus 5 | $0.00019 | $0.00620 |
| Sonnet 5 | $0.00008 | $0.00248 |
| Haiku 4.5 | $0.00004 | $0.00124 |
Grade A, and why
game-audit-workflow 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
游戏审计 Workflow
角色
本 skill 是 workflow / adapter，只负责审计执行顺序、读取路由和 evidence 落点；不承载审计规则正文，不维护 D 编号清单，也不写单游戏答案。
审计规则主源：
- 规则、玩法、机制实现审计：
.spec/knowledge/standards/description-to-implementation-audit.md - 审计入口、缺口分类和旧分卷兼容：
.spec/knowledge/standards/testing-audit.md - 证据记录、自检和旧结论回写：
.spec/knowledge/standards/audit-evidence-template.md - 规则 bug 与录入合同裁定：
.spec/knowledge/standards/rule-contract-audit.md - 真实入口、E2E 和截图证据：
.spec/knowledge/standards/e2e-verification.md - 权限、响应窗口、Choice Request、AI 合法动作：
.spec/knowledge/standards/rule-driven-interaction-design.md - 回归、同类扩审和漏审归因：
.spec/knowledge/standards/regression-closeout.md
旧 testing-audit-core-principles.md、testing-audit-dimensions*.md 和本 skill 的 references/ 只作历史兼容或索引，不得作为新的项目级完成定义。
使用入口
开始前先读 references/reading-map.md。它只负责把任务分流到规则 bug、审计、UI / E2E、工具、反馈状态或数据录入；真正的审计判断必须回到上方主源。
执行顺序
0. 锁定范围
写清：
gameId- 本轮对象、规则子句、共享链路或旧 evidence
- 真相来源和合同状态
- 目标入口 / 环境
- 允许使用的对外口径
审计 / 重审 / 继续 / 全面 只承接已锁定范围，不自动扩大到整批、全牌库或全仓库。
1. 选择主源
- 卡牌、技能、Token、状态、阶段、伤害、资源或玩法实现是否吃对规则：读
description-to-implementation-audit.md。 - 用户反馈规则 bug、合同缺失、需要回图面或规则源冲突：读
rule-contract-audit.md，必要时转数据录入 workflow。 - 真实入口、截图、E2E 或可见结果：读
e2e-verification.md。 - 响应窗口、特殊行动、权限、AI 或自动推进：读
rule-driven-interaction-design.md。 - 旧结论失效、回归或漏审复盘：读
regression-closeout.md。 - 需要落 evidence 或对外说已审计 / 已收口：读
audit-evidence-template.md。
2. 做描述到实现审计
按 description-to-implementation-audit.md 执行；先组装本轮对象的最小资料包，缺资料时先整理 canonical 文档、knowledge/README.md 导航、项目 skill 入口或 evidence 落点，不把文档数据库、旧总结或临时搜索结果当成审计流程。
本 workflow 不复写语义拆解、共享流程、配置差异、代表链、缺口分类或扩审判定。
3. 写 evidence
审计文档默认落到 evidence/<gameId>/。已有同主题审计文档时优先原地回写，不新建平行总账。
Evidence 字段、共享流程表、配置差异表、结论等级和旧结论回写格式按 audit-evidence-template.md 执行；本 workflow 只约定默认落点和原地回写优先。
4. 验证与收口
- 逻辑 / 规则问题优先补领域测试、GameTestRunner 或最小共享合同测试。
- UI / 交互问题按
e2e-verification.md补真实入口 E2E、截图或手工证据。 - 对外说“已审计 / 已收口 / 当前范围已收口”前，运行
npm run audit:evidence:selfcheck -- <evidence 文件>。 - 脚本通过只能证明 evidence 结构没有明显漏项，不能替代规则正确性。
What ships with it
5 files 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.
- today Changed · +2 lines 3bd7d98c8299
- 11d ago First seen · 82 lines · 38 tokens per session scan A 6d168b7eeeda
game-audit-workflow is a skill published in the GitHub repository zhuanggenhua/BoardGame (23 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 1,239 once invoked, about $0.0002 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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