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-diaggit 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-diag)<a href="https://agentmods.dev/skills/xiaoyangy/novel-studio/novel-diag"><img src="https://agentmods.dev/badge/skills/xiaoyangy/novel-studio/novel-diag/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-diag"><img src="https://agentmods.dev/badge/skills/xiaoyangy/novel-studio/novel-diag.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 | $0.00065 | $0.00454 |
| Opus 5 | $0.00032 | $0.00227 |
| Sonnet 5 | $0.00013 | $0.00091 |
| Haiku 4.5 | $0.00006 | $0.00045 |
Grade A, and why
novel-diag 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 11d 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-diag：项目产物诊断
对当前项目（cwd 的 output 产物）做静态分析，在终端打印本地 Findings，产出可执行的
发现和改进建议，并写出一份已脱敏的 meta/diag-export.md（移除正文，仅留行为骨架），
适合贴到 GitHub issue。
前置条件
- 已完成首次配置（见
skills/README.md）。 - 在项目目录下运行（含
output/novel/）。
执行
novel-studio --diag
诊断维度
- 流程 — 改写循环卡顿、未消费的转向指令、阶段/流程状态异常、章节跳号、流水线证据漂移
- 质量 — 评审维度持续低分、合同履约率、改写率、章节字数异常
- 规划 — 伏笔停滞、指南针过时、大纲耗尽、摘要缺失
- 上下文 — 角色消失、时间线缺口、关系数据停滞
产物
- 终端报告：本地可读 Findings（可能包含剧情/伏笔/流程细节，不适合直接贴 issue）
meta/diag-export.md（脱敏行为骨架）
diag 会只读检查 meta/pipeline.json：已完成阶段若缺少 evidence、证据状态不是
verified、或证据指向的 artifact/checkpoint 已不存在，会在 Findings 中报告；它不会
自动清除阶段标记或重跑流水线。
随时对已有项目单独诊断。
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.
- 11d ago First seen · 39 lines · 65 tokens per session scan A 44f8fb949e5e
novel-diag is a skill published in the GitHub repository Xiaoyangy/novel-studio (107 stars, last pushed 2d ago), licensed Apache-2.0. It adds 65 tokens to every session and 454 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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