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 zenstory-ai/novel-to-game --skill game-qagit clone --depth 1 https://github.com/zenstory-ai/novel-to-gameWrote 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/zenstory-ai/novel-to-game/game-qa)<a href="https://agentmods.dev/skills/zenstory-ai/novel-to-game/game-qa"><img src="https://agentmods.dev/badge/skills/zenstory-ai/novel-to-game/game-qa/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/zenstory-ai/novel-to-game/game-qa"><img src="https://agentmods.dev/badge/skills/zenstory-ai/novel-to-game/game-qa.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 | $0.00146 | $0.00631 |
| Opus 5.5 | $0.00058 | $0.00252 |
| Sonnet 5.5 | $0.00029 | $0.00126 |
| Haiku 4.5 | $0.00015 | $0.00063 |
Grade A, and why
game-qa 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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- game-qa — 100% identical, 0 lines differ
What it actually says
游戏质量验证
验证当前候选能否完成最小可玩闭环，不把自动化结果包装成趣味、平衡、权利或发布质量结论。
读取 qa-contract.md 定判据，按 test-design-method.md 设计最少但有区分力的检查。
产物语言由 PRODUCT_BRIEF.md 锁定；未锁定时跟随对话语言，不默认产出中文。
唯一必需合同
每个候选都必须用真实运行证据覆盖：launch、render、input、coreLoop、outcome、restart。
targetFinish 描述成色，不改变这组六项。
执行
- 读取
targetRuntime、testedRuntime和权威 verify；与 PRODUCT_BRIEF/BUILD_BRIEF 冲突时先报错， 不由 QA 猜值。 - 运行权威 verify：它在 testedRuntime 从 clean start → 核心动作 → 设计结果 → restart 完成整条路径，并记录 command、exit code、环境、六项结果、最小证据和实际失败。
- 对照 GAME_DESIGN 中会改变结果的不变量和结束标记；只验证批准的设计承诺，不遍历所有 代码路径。
- 若候选有可执行模型、事件日志、patch 或
signature_command，按 test-design-method 的对应合同把 项目回归嵌入权威 verify；允许定向诊断、修复和复跑，最终六项证据必须来自同一次完整运行。 失败映射到已有 checks 或 limitation。 - 记录 limitation 和问题的 product/design/art/build 归属。
优先使用已有可观察状态；只有无法判断结果时才增加最小测试钩子。
输出
qa/verification.json：唯一 QA 事实源；字段与证据要求见 qa-contract.md。
缺口写结构化 limitation，不发明 PASS_WITH_GAPS；未运行或失败的必需项不能满足整体 PASS。
What ships with it
3 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.
- 7d ago Changed · -1 lines 1e6d00e38abd
- 1mo ago Changed · -1 lines 03bebbe8f617
- 1mo ago Changed · -1 lines dc190f7ccf45
- 1mo ago Changed · +1 lines ddb75ad7c94f
- 1mo ago Changed · -10 lines 5f76bc51fe89
- 1mo ago First seen · 51 lines · 146 tokens per session scan A 6835e17fcdec
game-qa is a skill published in the GitHub repository zenstory-ai/novel-to-game (933 stars, last pushed 7d ago), licensed MIT. It adds 146 tokens to every session and 631 once invoked, about $0.0006 per session on Opus 5.5. 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 skills, from other repositories
dev-story
Implements one story in code with tests, following its ADRs. Use when the user says to build, implement or start working on a story. Not for checking readiness beforehand or closing the story after.
test-helpers
Generate engine-specific test helper libraries — assertion utilities, factory functions, mocks in the engine's test folder. Reduces boilerplate.
regression-suite
Map test coverage to GDD critical paths, find fixed bugs lacking regression tests, flag drift from new features.
soak-test
Soak test protocol for extended play — what to observe and log for slow leaks, fatigue, late-appearing edge cases.
playtest-report
Structured playtest report template, or turn existing playtest notes into structured feedback.
team-polish
Orchestrate the polish team — performance-analyst, technical-artist, sound-designer, qa-tester — to optimize and harden a feature or area.