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.
git 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/commands/xiaoyangy/novel-studio/story)<a href="https://agentmods.dev/commands/xiaoyangy/novel-studio/story"><img src="https://agentmods.dev/badge/commands/xiaoyangy/novel-studio/story/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/commands/xiaoyangy/novel-studio/story"><img src="https://agentmods.dev/badge/commands/xiaoyangy/novel-studio/story.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00030 | $0.00054 |
| Opus 5 | $0.00015 | $0.00027 |
| Sonnet 5 | $0.00006 | $0.00011 |
| Haiku 4.5 | $0.00003 | $0.00005 |
Grade A, and why
story 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
请使用 story skill，根据我的需求自动路由到合适的网文写作工具。
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 · 6 lines · 30 tokens per session scan A 6d1346a4eb85
story is a command published in the GitHub repository Xiaoyangy/novel-studio (102 stars, last pushed today), licensed Apache-2.0. It adds 30 tokens to every session and 54 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.
Other commands, from other repositories
story-long-scan
A command for scanning long-form online fiction rankings on platforms such as Qidian, Fanqie, and Jinjiang, then analyzing the ranking data.
story-short-scan
A tool for scanning and analysing popular short web-fiction rankings on platforms such as Zhihu Yanyan and Fanqie Short Stories.
help
Quick reference for all Attune commands.
spec
Spec-driven development — brainstorm, plan, review, and execute with quality gates and approval.
doc-gen
Generate documentation from source code — docstrings, README sections, API references.
refactor
Code-level refactoring analysis and roadmap generation.