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-techgit 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-tech)<a href="https://agentmods.dev/skills/lj22503/diaolong-skill/narrative-tech"><img src="https://agentmods.dev/badge/skills/lj22503/diaolong-skill/narrative-tech/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-tech"><img src="https://agentmods.dev/badge/skills/lj22503/diaolong-skill/narrative-tech.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 | $0.00074 | $0.01884 |
| Opus 5 | $0.00037 | $0.00942 |
| Sonnet 5 | $0.00015 | $0.00377 |
| Haiku 4.5 | $0.00007 | $0.00188 |
Grade A, and why
dragoncraft-geek 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 9d 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
81% identical to dragoncraft-art — 161 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
雕龙·极客 (DragonCraft Geek)
描述：科技叙事教练。内嵌叙事元系统，帮助用户把技术壁垒/市场机会/团队背景变成有逻辑、有冲突、有认知、有价值的科技叙事。
🎯 功能
输入字段（四层素材）
- 技术解决什么问题（痛点/场景/现有方案不足）：
- 我们的技术壁垒是什么（专利/算法/数据/团队）：
- 市场机会有多大（规模/趋势/竞争格局）：
- 我们怎么变现（商业模式/收入模型/增长逻辑）：
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（VC/技术合伙人/客户/媒体）
- 叙事人格（可选）：不填时根据素材特征自动推荐（INTJ/ENTJ/ENTP）
- 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
技术痛点 → 现有方案不足/技术瓶颈 → 技术突破/团队入场 → 市场机会/商业模式 → 技术哲学
输出
- 技术故事版（800-1200字）
- 投资人 pitch版（300-500字）
- 竞品分析版（对比矩阵）
🔗 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
- 写成技术文档：只罗列技术参数和架构，没有故事线和市场机会
- 写成广告文案：只有卖点，没有技术哲学和价值观，缺乏信任感
- 只讲成功：没有研发过程中的失败和迭代，缺乏真实感
- 技术过度完美：没有承认技术局限性和适用边界，像机器人写的
- 空喊口号：没有具体的数据锚点和用户见证
🧪 使用示例
示例1：技术故事版
用户输入：
技术解决什么问题：理财顾问推荐的产品不适合用户，信息差导致亏损
我们的技术壁垒是什么：10年基金从业经验，投顾策略框架，工具化方法论
市场机会有多大：3亿理财用户，万亿市场规模，80%买错产品
我们怎么变现：知识星球年费299，咨询服务999，企业培训5000+
AI输出：
【人格推荐】INTJ
理由：素材特征为系统性思考、技术导向、战略分析，INTJ叙事风格最适合。
【技术故事版】（约1000字）
问题不在"谁对谁错"。
在"工具和观点"。
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。
中国有 3 亿理财用户。
每年万亿市场规模。
但 80% 的用户，买的是不适合自己的产品。
为什么？
因为信息差。
理财顾问知道什么好卖。
用户不知道什么适合自己。
我试过自己创业。失败了。
那段时间我意识到一件事：
观点会过时。工具不会。
所以「最优解人生」诞生了。
我们的技术壁垒，不是算法，不是数据。
是 10 年基金从业经验的结晶。
从分析师到投顾策略负责人。
我见过太多"好产品"，
最后变成了用户的"亏损"。
为什么？
因为产品好，不等于适合你。
我们的工具，不告诉你买什么。
它帮你建立思考框架。
3 个问题：
1. 你买的是什么？（产品）
2. 你为什么买？（逻辑）
3. 你什么时候卖？（退出）
如果你答不上来。
你不是在投资。
你是在赌。
商业模式：
- 知识星球：年费 299，投资框架工具
- 咨询服务：单次 999，个性化诊断
- 企业培训：单次 5000+，理财顾问工具培训
12 个月目标：10 万付费用户，ARR 3000 万。
因为真正的护城河不是信息差。
是认知差。
【投资人 pitch 版】（约400字）
[完整叙事]
【竞品分析版】
| 维度 | 理财顾问 | 大 V 推荐 | 最优解人生 |
|------|---------|---------|-----------|
| 核心 | 卖产品 | 卖观点 | 给工具 |
| 收入 | 佣金 | 广告/课程 | 年费/咨询 |
| 用户 | 被动 | 跟风 | 主动 |
| 壁垒 | 渠道 | 流量 | 认知 |
| 风险 | 合规 | 信任 | 执行 |
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.
- 9d ago First seen · 174 lines · 0 tokens per session scan A 7efc13311b30
dragoncraft-geek is a skill published in the GitHub repository lj22503/diaolong-skill (5 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 1,884 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to dragoncraft-art, differing in 161 lines, and is treated as a copy.
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