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/relations)<a href="https://agentmods.dev/commands/wordflowlab/novel-writer/relations"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/relations.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 | $0.00009 | $0.00549 |
| Opus 5 | $0.00005 | $0.00275 |
| Sonnet 5 | $0.00002 | $0.00110 |
| Haiku 4.5 | $0.00001 | $0.00055 |
Grade A, and why
relations 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
角色关系管理
追踪和管理角色之间的关系动态，确保关系发展的合理性。
功能
- 关系网络 - 维护角色之间的关系图谱
- 关系变化 - 记录关系的演变历程
- 派系管理 - 追踪各势力派系的对立与合作
- 情感追踪 - 管理角色间的情感发展
使用方法
执行脚本 {SCRIPT} [操作] [参数]：
update- 更新角色关系show- 显示关系网络history- 查看关系变化历史check- 验证关系逻辑
示例：
{SCRIPT} update 李中庸 allies 沈玉卿 --chapter 61 --note 初入翰林相助
# PowerShell:
{SCRIPT} -Command update -A 李中庸 -Relation allies -B 沈玉卿 -Chapter 61 -Note 初入翰林相助
数据存储
关系数据存储在 spec/tracking/relationships.json：
{
"characters": {
"主角": {
"盟友": ["角色A", "角色B"],
"敌对": ["角色C"],
"爱慕": ["角色D"],
"未知": ["角色E"]
}
},
"factions": {
"改革派": ["主角", "角色A"],
"保守派": ["角色C", "角色F"]
}
}
输出示例
👥 角色关系网络
━━━━━━━━━━━━━━━━━━━━
主角：李中庸
├─ 💕 爱慕：沈玉卿
├─ 🤝 盟友：张居正（隐藏）
├─ 📚 导师：利玛窦
├─ ⚔️ 敌对：申时行派系
└─ 👁️ 监视：东厂
派系对立：
改革派 ←→ 保守派
东林党 ←→ 阉党
最近变化（第60章）：
- 沈玉卿：陌生人 → 相互吸引
- 张居正：未知 → 师承关系
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 · 75 lines · 9 tokens per session scan A f676043f1e8d
relations is a command published in the GitHub repository wordflowlab/novel-writer (940 stars, last pushed 10mo ago), licensed MIT. It adds 9 tokens to every session and 549 once invoked, about $0.0000 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.