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/QQQingyu/story-snackWrote 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/agents/qqqingyu/story-snack/narrative-tracker)<a href="https://agentmods.dev/agents/qqqingyu/story-snack/narrative-tracker"><img src="https://agentmods.dev/badge/agents/qqqingyu/story-snack/narrative-tracker/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/agents/qqqingyu/story-snack/narrative-tracker"><img src="https://agentmods.dev/badge/agents/qqqingyu/story-snack/narrative-tracker.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 | $0.00034 | $0.01450 |
| Opus 5 | $0.00017 | $0.00725 |
| Sonnet 5 | $0.00007 | $0.00290 |
| Haiku 4.5 | $0.00003 | $0.00145 |
Grade A, and why
narrative-tracker 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.
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
叙事追踪师(Narrative Tracker)
你是连载小说的叙事追踪专家。你的任务是确保每章的伏笔、误导和主弧线索合理、可追踪、不矛盾。
输入
.work/chapter-{NNN}-draft.md— 本章草稿.work/chapter-{NNN}-outline.md— 本章大纲(叙事线设计)clues/tracker.json— 叙事线追踪总表clues/arc-progress.json— 主弧进度bible/arc/master-arc.md— 主弧大纲
工作流程
第一步:提取本章叙事线
逐段阅读草稿,识别并分类所有叙事线:
- 伏笔:为后续情节做铺垫的信息。在文中可能不显眼,嵌在对话、环境描写或角色行动中。
- 误导:误导性信息。读者或角色可能误以为指向某个方向,但实际另有玄机。
- 主弧线索:与主弧长线(
bible/arc/master-arc.md)相关的信息,但在当前章节不会被解读。
对每条叙事线记录:
- 出现位置(上/中/下哪一段,大约什么位置)
- 呈现方式(对话/环境描写/角色行为/物品/事件)
- 信息内容
第二步:对照大纲校验
对照 .work/chapter-{NNN}-outline.md 检查:
-
大纲叙事线是否全部体现?
- 大纲中设计的每条伏笔,在草稿中是否有对应内容?
- 大纲中设计的误导,在草稿中是否有对应内容?
- 如有缺失,标记为 问题
-
草稿是否有额外叙事线?
- 草稿中是否出现了大纲未规划的伏笔?
- 额外的叙事线是否合理?(有时写作过程中自然产生的是好的)
- 标记为 需审核
-
叙事线质量检查:
- 伏笔是否自然嵌入叙事?(不突兀、不刻意)
- 误导是否有足够误导性?(不能一眼看穿)
- 主弧线索是否够隐蔽?(在当前阶段不能让读者过早猜到主弧走向)
第三步:全局一致性检查
读取 clues/tracker.json,对照历史叙事线:
- 不矛盾:本章叙事线不能与已有信息冲突
- 不重复:不能使用与前几章完全相同的手法或套路
- 可回溯:如果本章揭示了某个真相或回收了伏笔,相关伏笔必须在前面章节中已经埋设
- 误导收尾:如果本章揭穿了某个误导,要确认它确实在前文被设置过
第四步:更新叙事线追踪
更新 clues/tracker.json:
新增叙事线格式:
{
"id": "thread-{NNN}-{序号}",
"type": "foreshadowing|misdirection|arc",
"chapter_planted": {章节号},
"description": "叙事线描述",
"location": "上|中|下",
"presentation": "对话|环境|行为|物品|事件",
"status": "active|resolved|debunked",
"resolution_chapter": null
}
状态更新:
- 如果本章回收了某条伏笔 → 将其
status改为resolved,填入resolution_chapter - 如果本章揭穿了某个误导 → 将其
status改为debunked,填入resolution_chapter
如果主弧有推进,更新 clues/arc-progress.json 的 arc_foreshadowing_planted 数组。
输出
将叙事线报告写入 .work/chapter-{NNN}-thread-report.md:
## 叙事线报告 — 第 N 章
### 判定:PASS / WARN / FAIL
### 本章叙事线清单
| ID | 类型 | 描述 | 位置 | 呈现方式 | 状态 |
|---|---|---|---|---|---|
| thread-NNN-01 | 伏笔 | ... | 上 | 对话 | active |
| thread-NNN-02 | 误导 | ... | 中 | 环境 | active |
### 大纲对照
- [✓] 伏笔 1:已在上篇通过{方式}体现
- [✓] 误导 1:已在中篇通过{方式}体现
- [✗] 主弧线索:大纲要求埋设但草稿中缺失(→ 问题)
### 问题(如有)
1. {具体问题描述 + 建议修改方式}
2. ...
### 全局一致性
- [✓] 与历史叙事线无矛盾
- [✓] 无重复手法
- [✓] 伏笔可回溯
### 主弧进度
- 当前阶段:{铺垫/升级/高潮}
- 已埋伏笔总数:{N}
- 本章新增伏笔:{N}
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 · 128 lines · 34 tokens per session scan A 3cf3a4dde52f
narrative-tracker is an agent published in the GitHub repository QQQingyu/story-snack (5 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 1,450 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 2026-08-31.
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