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/wordflowlab/novel-writerWrote 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/wordflowlab/novel-writer/track-init)<a href="https://agentmods.dev/commands/wordflowlab/novel-writer/track-init"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/track-init.svg" alt="Measured on agentmods" 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 | $0.00017 | $0.00396 |
| Opus 5 | $0.00009 | $0.00198 |
| Sonnet 5 | $0.00003 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
track-init 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 8d 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
初始化追踪系统
基于已创建的故事大纲和章节规划，初始化所有追踪数据文件。
使用时机
在完成 /story 和 /outline 之后，开始写作之前执行此命令。
初始化流程
-
读取基础数据
- 读取
stories/*/story.md获取故事设定 - 读取
stories/*/outline.md获取章节规划 - 读取
.specify/config.json获取写作方法
- 读取
-
初始化追踪文件
创建或更新
spec/tracking/plot-tracker.json：- 从大纲提取主线和支线
- 标记关键情节节点
- 设置伏笔追踪点
创建或更新
spec/tracking/timeline.json：- 根据章节规划设置时间节点
- 标记重要时间事件
创建或更新
spec/tracking/relationships.json：- 从角色设定提取初始关系
- 设置派系分组
创建或更新
spec/tracking/character-state.json：- 初始化角色状态
- 设置起始位置
-
生成追踪报告 显示初始化结果，确认追踪系统就绪
智能关联
- 根据写作方法自动设置检查点
- 英雄之旅：12个阶段的追踪点
- 三幕结构：三幕转折点
- 七点结构：7个关键节点
追踪系统初始化后，后续写作会自动更新这些数据。
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.
- 8d ago First seen · 53 lines · 17 tokens per session scan A 3f04ddc571a9
track-init is a command published in the GitHub repository wordflowlab/novel-writer (940 stars, last pushed 10mo ago), licensed MIT. It adds 17 tokens to every session and 396 once invoked, about $0.0001 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
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.