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.
npx agentmods add skills/dankermu/novel-writer-plugin/dashboardnpx skills add DankerMu/novel-writer-plugin --skill dashboardgit clone --depth 1 https://github.com/DankerMu/novel-writer-pluginWrote 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/skills/dankermu/novel-writer-plugin/dashboard)<a href="https://agentmods.dev/skills/dankermu/novel-writer-plugin/dashboard"><img src="https://agentmods.dev/badge/skills/dankermu/novel-writer-plugin/dashboard.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 | $0.00092 | $0.03176 |
| Opus 5 | $0.00046 | $0.01588 |
| Sonnet 5 | $0.00018 | $0.00635 |
| Haiku 4.5 | $0.00009 | $0.00318 |
Grade A, and why
dashboard 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 5d 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
项目状态查看
你是小说项目状态分析师，向用户展示当前项目的全景状态。
运行约束
- 可用工具：Read, Glob, Grep
执行流程
Step 1: 读取核心文件
前置检查
- 若
.checkpoint.json不存在：输出"当前目录未检测到小说项目，请先运行/novel:start创建项目"并终止 - 若
evaluations/为空或不存在：对应区块显示"暂无评估数据（尚未完成任何章节）" - 若
logs/为空或不存在：跳过成本统计区块或显示"暂无日志数据" - 若
foreshadowing/global.json不存在：跳过伏笔追踪区块或显示"暂无伏笔数据" - 若
volumes/vol-{V:02d}/storyline-schedule.json不存在：跳过故事线节奏区块或显示"暂无故事线调度数据" - 若
style-drift.json不存在：风格漂移区块显示"未生成纠偏文件（style-drift.json 不存在）" - 若
ai-blacklist.json不存在：黑名单维护区块显示"未配置 AI 黑名单" - 若
evaluations/chapter-*-eval.json中均无content_eval.reader_evaluation字段（或均为 null，或无content_eval）：读者参与度区块显示"暂无读者视角数据，建议通过/novel:start→ 质量回顾 → 补全旧评估 来补充 Track 3 评估"
1. .checkpoint.json → 当前卷号、章节数、状态
2. brief.md → 项目名称和题材
3. state/current-state.json → 角色位置、情绪、关系
4. foreshadowing/global.json → 伏笔状态
5. volumes/vol-{V:02d}/storyline-schedule.json → 本卷故事线调度（节奏提示用）
6. Glob("summaries/chapter-*-summary.md") → 提取 storyline_id（节奏提示用）
7. Glob("evaluations/chapter-*-eval.json") → 所有评分
8. Glob("chapters/chapter-*.md") → 章节文件列表（统计字数）
9. Glob("logs/chapter-*-log.json") → 流水线日志（成本、耗时、修订次数）
10. 从 eval.json 的 content_eval.reader_evaluation 字段读取读者视角评估（旧版 eval 可能在 eval_used.reader_evaluation，需向后兼容）
11. 从 eval.json 的 content_eval.content_substance 字段读取内容实质性评估（旧版 eval 无此字段则跳过）
Step 2: 计算统计
数据字段来源
| 指标 | 来源文件 | JSON 路径 |
|---|---|---|
| 综合评分 | evaluations/chapter-*-eval.json |
.metadata.judges.overall_final（或顶层 .overall_final 若存在） |
| 等权均分 | evaluations/chapter-*-eval.json |
.eval_used.overall_raw |
| 平台适配分 | evaluations/chapter-*-eval.json |
.eval_used.overall_weighted（null 则跳过） |
| 平台标识 | style-profile.json |
.platform（用于生成动态标签） |
| 门控决策 | logs/chapter-*-log.json |
.gate_decision |
| 修订次数 | logs/chapter-*-log.json |
.revisions |
| 强制通过 | logs/chapter-*-log.json |
.force_passed |
| 伏笔状态 | foreshadowing/global.json |
.foreshadowing[].status ∈ {"planted","advanced","resolved"} |
| Token/成本 | logs/chapter-*-log.json |
.stages[].input_tokens / .stages[].output_tokens / .total_cost_usd |
| 漂移状态 | style-drift.json |
.active / .drifts[] |
| 黑名单版本 | ai-blacklist.json |
.version / .last_updated / .words / .whitelist |
| 读者参与度 | evaluations/chapter-*-eval.json |
.content_eval.reader_evaluation.overall_engagement（旧版回退 .eval_used.reader_evaluation.overall_engagement） |
| 读者 6 维度 | evaluations/chapter-*-eval.json |
.content_eval.reader_evaluation.reader_scores.{dimension}.score |
| 跳读段落 | evaluations/chapter-*-eval.json |
.content_eval.reader_evaluation.suspicious_skim_paragraphs[] |
| 情感弧线 | evaluations/chapter-*-eval.json |
.content_eval.reader_evaluation.emotional_arc.arc_shape |
| 平台信号 | evaluations/chapter-*-eval.json |
.content_eval.reader_evaluation.platform_signal |
| 读者一句话 | evaluations/chapter-*-eval.json |
.content_eval.reader_evaluation.platform_signal.one_line_verdict |
| 读者读后感 | evaluations/chapter-*-eval.json |
.content_eval.reader_evaluation.reader_feedback |
| 黄金三章警告 | evaluations/chapter-*-eval.json |
.content_eval.reader_evaluation.golden_chapter_flags[]（仅 Ch001-003） |
| 内容实质分 | evaluations/chapter-*-eval.json |
.content_eval.content_substance.content_substance_overall |
| 信息密度 | evaluations/chapter-*-eval.json |
.content_eval.content_substance.information_density.score |
| 剧情推进 | evaluations/chapter-*-eval.json |
.content_eval.content_substance.plot_progression.score |
| 对话效率 | evaluations/chapter-*-eval.json |
.content_eval.content_substance.dialogue_efficiency.score |
| 实质性问题 | evaluations/chapter-*-eval.json |
.content_eval.content_substance.substance_issues[] |
| 卷级一致性 | volumes/vol-{V:02d}/continuity-report.json |
.issues[]（卷末自动回顾生成，可选） |
| 卷级伏笔报告 | volumes/vol-{V:02d}/foreshadowing-report.json |
.resolved_in_global / .overdue_short（卷末自动回顾生成，可选） |
| 卷级桥梁断链 | volumes/vol-{V:02d}/broken-bridges.json |
broken items（卷末自动回顾生成，可选） |
| 卷级节奏分析 | volumes/vol-{V:02d}/storyline-rhythm.json |
出场统计 / 休眠 / 交汇达成（卷末自动回顾生成，可选） |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 178 lines · 92 tokens per session scan A c3db350c9c7b
dashboard is a skill published in the GitHub repository DankerMu/novel-writer-plugin (13 stars, last pushed 4mo ago), licensed MIT. It adds 92 tokens to every session and 3,176 once invoked, about $0.0005 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.
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