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/tasks)<a href="https://agentmods.dev/commands/wordflowlab/novel-writer/tasks"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/tasks/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/wordflowlab/novel-writer/tasks"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/tasks.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 | $0.00013 | $0.00608 |
| Opus 5.5 | $0.00005 | $0.00243 |
| Sonnet 5.5 | $0.00003 | $0.00122 |
| Haiku 4.5 | $0.00001 | $0.00061 |
Grade A, and why
tasks 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 2mo 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
基于创作计划生成具体的、可执行的任务列表。
目标
将宏观计划转化为微观任务,让创作变得可管理、可追踪。
执行步骤
1. 加载计划文档
运行 {SCRIPT} 加载:
- 创作计划:
stories/*/creative-plan.md - 章节架构信息
- 时间线和依赖关系
2. 生成任务列表
创建 stories/*/tasks.md,包含:
核心写作任务
## 写作任务
### 高优先级 [必须首先完成]
- [ ] [P0] 第1章:开篇钩子 (3000字)
- [ ] [P0] 角色档案:主角详细设定
- [ ] [P0] 世界观:基础规则设定
### 中优先级 [正常推进]
- [ ] [P1] 第2-5章:故事展开 (每章3000字)
- [ ] [P1] 角色档案:主要配角
- [ ] [P1] 场景设定:重要地点
### 低优先级 [可选完善]
- [ ] [P2] 番外:角色前传
- [ ] [P2] 设定集:详细世界观
任务标记说明
[P]- 可并行执行[依赖:X]- 需要先完成任务X[P0/P1/P2]- 优先级标记
3. 任务排序和分组
- 按优先级分组
- 识别依赖关系
- 标记可并行任务
- 估算完成时间
4. 生成执行计划
## 执行计划
### 第一阶段(第1周)
并行任务组1:
- 主角设定 [P]
- 世界观基础 [P]
- 第1章草稿 [P]
### 第二阶段(第2-3周)
串行任务:
- 第2章 [依赖:第1章]
- 第3章 [依赖:第2章]
并行任务组2:
- 配角设定 [P]
- 场景设计 [P]
5. 输出任务统计
- 总任务数
- 预计总字数
- 预计完成时间
- 关键里程碑
提示下一步:开始执行 /write 或查看特定任务详情。
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.
- 2mo ago First seen · 86 lines · 13 tokens per session scan A 25a612fc5356
tasks is a command published in the GitHub repository wordflowlab/novel-writer (957 stars, last pushed 1y ago), licensed MIT. It adds 13 tokens to every session and 608 once invoked, about $0.0001 per session on Opus 5.5. 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.
tasks compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| taskswordflowlab/novel-writer | Command | 957 | 1y ago | MIT | A | 13 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |