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 lj22503/diaolong-skill --skill narrative-productgit clone --depth 1 https://github.com/lj22503/diaolong-skillWrote 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/lj22503/diaolong-skill/narrative-product)<a href="https://agentmods.dev/skills/lj22503/diaolong-skill/narrative-product"><img src="https://agentmods.dev/badge/skills/lj22503/diaolong-skill/narrative-product/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/lj22503/diaolong-skill/narrative-product"><img src="https://agentmods.dev/badge/skills/lj22503/diaolong-skill/narrative-product.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 | $0.00071 | $0.01641 |
| Opus 5 | $0.00036 | $0.00821 |
| Sonnet 5 | $0.00014 | $0.00328 |
| Haiku 4.5 | $0.00007 | $0.00164 |
Grade A, and why
dragoncraft-create 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 11d 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.
This is a copy
84% identical to dragoncraft-art — 125 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
雕龙·造物 (DragonCraft Create)
描述：产品叙事教练。内嵌叙事元系统，帮助用户把产品定位/用户痛点/解决方案变成有逻辑、有冲突、有认知、有价值的产品故事。
🎯 功能
输入字段（四层素材）
- 产品名称/功能（产品定位/核心功能）：
- 目标用户痛点（用户遇到的问题/现状）：
- 最与众不同的点（差异化/创新点）：
- 用户真实反馈（用户证言/案例）：
输入校验规则
- 必填字段：4 个输入字段全部必填，缺任何一项需提示用户补充
- 长度限制：每个字段 20-500 字，过短需追问细节，过长需提炼核心
- 格式要求：用户输入为自然语言，AI 自动解析为结构化素材
- 受众画像（可选）：提供时用于调整叙事角度和语言风格
- 叙事人格（可选）：不填时根据素材特征自动推荐（ENTP/ENFP/INTJ）
- 校验失败处理：字段缺失 → 提示补充；长度不足 → 追问细节；格式错误 → 引导正确格式
结构
沉默的敌人（用户痛点） → 第一次接触（产品登场） → 情绪的转折（使用体验） → 新的常态（用户改变）
输出
- 产品详情页文案（800字）
- 短视频脚本（60秒）
- 核心惊喜点（一句话细节）
🔗 依赖关系
本 Skill 依赖以下元 Skill 模块：
| 依赖模块 | 来源 Skill | 用途 |
|---|---|---|
| 八刀评估 | narrative-meta | 质量打分（历史/辩证/现象/语言/形式/存在/美感/元反思） |
| 去 AI 化检测 | narrative-meta | 7 条规则检测模板词、逻辑词、抽象情感等 |
| 伦理审查 | narrative-meta | 三条原则检查（事实篡改/不当省略/隐私泄露） |
| 人格映射 | narrative-meta | 根据素材特征推荐 MBTI 叙事人格 |
| 记忆管理 | narrative-meta | 存储/检索用户历史叙事，确保跨场景一致性 |
调用方式：通过 narrative-workflow 编排调用，或直接调用 narrative-meta 对应模块。
⚠️ 常见错误
- 写成产品说明书：只罗列功能参数，没有用户场景和痛点
- 写成广告文案：只有卖点，没有产品哲学和用户故事
- 只讲成功：没有研发过程中的失败和迭代，缺乏真实感
- 产品过度完美：没有承认局限性和适用边界，像机器人写的
- 空喊口号：没有具体的用户见证和数据锚点
🧪 使用示例
示例1：产品发布文案版
用户输入：
用户遇到了什么问题：太多人被理财顾问误导，买了不适合自己的产品
我们为什么做这个产品：工具比观点重要，行动比知识重要，同行比独行重要
我们怎么解决的：「最优解人生」，不教炒股只给工具，帮助建立投资框架
用户改变了什么：1000+人建立了自己的投资框架，不再盲目跟风
AI输出：
【人格推荐】ENTP
理由：素材特征为颠覆性创新、问题解决导向、反常识观点，ENTP叙事风格最适合。
【产品发布文案版】（约600字）
我们不预测市场。我们提供框架。
2023年，我离开了工作了十年的基金公司。
不是因为厌倦，而是因为害怕——我害怕那些坐在办公室里的理财顾问，
正在用"下个月能涨多少"这个问题，误导那些信任他们的人。
我试过自己创业。失败了。客户跑了。半年没收入。
那段时间我意识到一件事：问题不在"谁对谁错"，
而在"工具和观点"——观点会过时，工具不会。
所以「最优解人生」诞生了。
我们不告诉你买什么。我们帮你建立思考框架。
不预测明天涨跌。我们帮你理解市场周期。
不做大 V。我们做同行者。
因为真正的护城河不是信息差。
是认知差。
1000+人已经建立了自己的投资框架。
不再盲目跟风。不再焦虑。不再赌。
如果你也在找一条"不赌、不焦虑、不跟风"的路。
欢迎同行。
【用户故事版】（约1000字）
[完整叙事]
【产品手册摘要版】（约150字）
「最优解人生」——不教炒股，只给工具。核心理念：工具比观点重要，行动比知识重要，同行比独行重要。真正的护城河不是信息差，是认知差。
📋 质量检查清单
叙事质量（由 narrative-meta 八刀评估驱动）
- 有开头抓力？（场景/动作/对话开场）
- 有逻辑递进？（痛点→冲突→转折→结果→认知）
- 有真实感？（具体细节锚点：时间/地点/数字/用户见证）
- 有认知提炼？（产品哲学/价值观，不是"我们做了什么"，而是"我们为什么存在"）
- 有价值输出？（读者能带走的具体方法/视角/行动）
- 适合产品表达？（与目标受众画像匹配）
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.
- 11d ago First seen · 136 lines · 0 tokens per session scan A 74432e8bdf60
dragoncraft-create is a skill published in the GitHub repository lj22503/diaolong-skill (5 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 1,641 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to dragoncraft-art, differing in 125 lines, and is treated as a copy.
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clipify
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novel-writer
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