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 Xiaoyangy/novel-studio --skill novel-simulategit clone --depth 1 https://github.com/Xiaoyangy/novel-studioWrote 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/xiaoyangy/novel-studio/novel-simulate)<a href="https://agentmods.dev/skills/xiaoyangy/novel-studio/novel-simulate"><img src="https://agentmods.dev/badge/skills/xiaoyangy/novel-studio/novel-simulate/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/xiaoyangy/novel-studio/novel-simulate"><img src="https://agentmods.dev/badge/skills/xiaoyangy/novel-studio/novel-simulate.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 | $0.00082 | $0.00552 |
| Opus 5 | $0.00041 | $0.00276 |
| Sonnet 5 | $0.00016 | $0.00110 |
| Haiku 4.5 | $0.00008 | $0.00055 |
Grade A, and why
novel-simulate 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
novel-simulate：仿写画像合成 / 导入
把参考文章放进 cwd 的 simulate/ 文件夹，用 architect 模型分析语料、合成仿写画像写到
output/novel/meta/simulation_profile.json。画像以 compact 形式注入 novel_context，
Coordinator / Architect / Writer / Editor 都能读取——只借鉴结构、节奏、钩子和吸引读者手法，
不复制原文表达或专有设定。需要调用 LLM（architect 角色），建议先 novel-check 确认可用。
前置条件
- 已完成首次配置（见
skills/README.md）。 - 合成画像：cwd 下有
simulate/目录，内含.txt/.md/.markdown参考文章。
执行
# 分析 simulate/ 语料，合成 / 增量更新仿写画像
novel-studio --simulate
# 导入此前生成的画像 JSON（simulation_profile.v1），按语料指纹合并、重复来源跳过
novel-studio --import-sim ./profile.json
# 仅更新画像，不写 meta/diag-export.md
novel-studio --simulate --no-diag
行为
- 按
relative_path + sha256跳过未变化文件；无新增/变更时提示"画像已是最新"且不调用 LLM - 已有画像 + 新增/修改文章时，在原画像基础上继续合成
--import-sim只接受本功能生成的simulation_profile.v1JSON；只导入可信来源- 合成 / 导入成功后默认运行同一套
diag收尾并写output/novel/meta/diag-export.md；使用--no-diag可跳过
产物
output/novel/meta/simulation_profile.jsonoutput/novel/meta/diag-export.md（默认生成；--no-diag时跳过）
What ships with it
2 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.
- 9d ago First seen · 41 lines · 82 tokens per session scan A 66634226bfd0
novel-simulate is a skill published in the GitHub repository Xiaoyangy/novel-studio (102 stars, last pushed today), licensed Apache-2.0. It adds 82 tokens to every session and 552 once invoked, about $0.0004 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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