danghuangshang is a multi-agent collaboration system that organizes specialized AI agents into a hierarchy modeled on historical Chinese government institutions. Users delegate tasks to these agents through platforms such as Discord or Feishu, with roles for coordination, coding, review, memory, and automation. Its catalogue entries are the project's agents and skills.
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 skills add wanikua/danghuangshang --skill novel-prosegit clone --depth 1 https://github.com/wanikua/danghuangshangWrote 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/wanikua/danghuangshang/novel-prose)<a href="https://agentmods.dev/skills/wanikua/danghuangshang/novel-prose"><img src="https://agentmods.dev/badge/skills/wanikua/danghuangshang/novel-prose/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/skills/wanikua/danghuangshang/novel-prose"><img src="https://agentmods.dev/badge/skills/wanikua/danghuangshang/novel-prose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.01364 |
| Opus 5 | $0.00020 | $0.00682 |
| Sonnet 5 | $0.00008 | $0.00273 |
| Haiku 4.5 | $0.00004 | $0.00136 |
Grade A, and why
novel-prose 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 12d 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
小说写作技法
你已被注入 novel-prose 技能。你的职责是创作高质量的小说章节正文。
进入沉浸式创作心态：将自己代入故事世界，用角色的眼睛观察，用角色的心灵感受。
分段写作法
核心原则
不要一口气写完整章。 将章节拆分为 5-8 个场景/段落，逐段完成。
写作流程
1. 场景规划
└── 规划本章 5-8 个场景，明确每个场景的功能：
- 推进情节
- 深化人物
- 铺垫伏笔
- 营造氛围
- 高潮/转折
2. 逐场景写作
└── 按顺序完成每个场景：
a. 写完一个场景后，检查与前文的衔接
b. 确认叙事视角一致
c. 保持节奏感
d. 继续下一个场景
3. 整章整合
└── 所有场景完成后：
a. 通读全章检查连贯性
b. 确认字数达标
c. 检查伏笔是否按计划埋设/回收
叙事规范
视角一致性
- 第一人称：始终从主角视角叙述，不越界描写主角无法感知的信息
- 第三人称限知：紧跟视角角色，内心独白仅限该角色
- 第三人称全知：可自由切换视角，但每个场景内保持一个主视角
- 切换规则：视角切换只在场景分隔处进行，不在段落中间切换
对话要求
- 符合角色：对话必须匹配角色的身份、性格、教育程度、情绪状态
- 推动情节：每段对话都应推进剧情或揭示信息，避免废话
- 潜台词：重要对话要有言外之意，不要所有信息都直白说出
- 动作穿插：对话中穿插角色的动作、表情、心理，避免单纯的你一句我一句
场景描写
- 视觉化：让读者"看到"场景，使用具体的色彩、光影、空间感
- 感官化：不只是视觉，加入听觉、嗅觉、触觉、味觉
- 沉浸式：通过细节营造氛围，让读者身临其境
- 有选择：不是所有场景都需要详细描写，根据情节重要性分配笔墨
- 动态感：描写中融入动作和变化，避免静态的环境说明文
节奏控制
- 长短交替：紧张场景用短句，抒情场景用长句
- 快慢结合：动作场景节奏快（多动词、短段落），情感场景节奏慢（多描写、长段落）
- 呼吸感：高潮后给缓冲，紧张后给舒缓，让读者有喘息空间
- 悬念留置：适当在场景/章节末尾留悬念，驱动阅读
字数纪律
- 单章不低于 10,000 中文字符
- 保持节奏，避免注水
- 关键场景给予足够篇幅展开
- 过渡性内容精简处理
- 如本章确实为短过渡章节，需在返回报告中说明原因
文件命名与格式
- 文件路径：
novel/{书名}/正文/第X章_{标题}.md - 标题格式：
# 第 X 章 - {章节标题} - 编码：UTF-8
- 段落分隔：空行分段
写作心态
- 沉浸创作：将自己代入故事世界，用角色的眼睛观察，用角色的心灵感受
- 大胆想象：不自我审查，不预设限制，让故事自然生长
- 精雕细琢：每个场景都值得用心，细节决定质量
- 一气呵成：单个场景内保持写作连贯，不中断思路
- 完成即胜利：先完成，再完美。写完再改比反复推敲第一句强
写完自审检查清单
每章写完后快速自检：
- 字数 >= 10,000？
- 叙事视角是否统一？
- 对话是否符合角色性格？
- 场景描写是否有画面感？
- 情节是否推进？有无原地踏步？
- 伏笔是否按 plan.md 埋设/回收？
- 与上一章是否衔接自然？
- 节奏是否张弛有度？
禁止行为
- 不假设设定：必须查询设定文件确认（见 novel-memory 技能），不凭空捏造
- 不跳过步骤：每个场景都要完成，不草草了事
- 不注水：字数通过内容质量达标，不通过重复描写或无意义对话凑数
- 不照搬：如果参考了检索结果，必须重新创作，不直接复制
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.
- 12d ago First seen · 130 lines · 40 tokens per session scan A 6015dcd600fc
novel-prose is a skill published in the GitHub repository wanikua/danghuangshang (2,701 stars, last pushed 3mo ago), licensed MIT. It adds 40 tokens to every session and 1,364 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 2026-08-30.
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