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-educationgit 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-education)<a href="https://agentmods.dev/skills/lj22503/diaolong-skill/narrative-education"><img src="https://agentmods.dev/badge/skills/lj22503/diaolong-skill/narrative-education/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-education"><img src="https://agentmods.dev/badge/skills/lj22503/diaolong-skill/narrative-education.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 | $0.00076 | $0.01592 |
| Opus 5 | $0.00038 | $0.00796 |
| Sonnet 5 | $0.00015 | $0.00318 |
| Haiku 4.5 | $0.00008 | $0.00159 |
Grade A, and why
dragoncraft-teach 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
89% identical to dragoncraft-art — 137 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
雕龙·传道 (DragonCraft Teach)
描述：教育叙事教练。内嵌叙事元系统，帮助用户把课程主题/学员痛点/认知误区变成有逻辑、有冲突、有认知、有价值的教育叙事。
🎯 功能
输入字段（四层素材）
- 课程主题（核心内容/目标）：
- 目标学员（画像/背景/痛点）：
- 想纠正的认知误区（错误观念/常见陷阱）：
- 学员困境案例（真实/典型场景）：
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（ENFJ/ENTJ/INFJ）
- 校验失败处理：字段缺失 → AI 必须主动追问缺失字段，直到 4 个字段全部提供；长度不足 → 追问细节；格式错误 → 引导正确格式
结构
共鸣场景 → 主角尝试失败 → 意外发现 → 转变后的好处 → 课程承诺
输出
- 线下课开场口播稿（5 分钟，含互动设计）
- 线上课视频开场文案（3 分钟，含屏幕提示）
- 课程详情页"你将学到什么"的叙事版
🔗 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 |
| 去 AI化检测 | narrative-meta | 7 条规则检测 |
| 伦理审查 | narrative-meta | 三条原则检查 |
| 人格映射 | narrative-meta | MBTI 叙事人格推荐 |
| 记忆管理 | narrative-meta | 存储/检索用户历史叙事 |
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
- 写成课程大纲：只罗列知识点，没有故事和冲突，缺乏吸引力
- 写成广告文案：只有卖点，没有学员困境和转变，缺乏真实感
- 只讲成功：没有失败和试错过程，像机器人写的
- 讲师过度完美：没有脆弱性和不确定性，学员不信任
- 空喊口号：没有具体的场景锚点和互动设计
🧪 使用示例
示例1：线下课开场口播稿
用户输入：
课程主题：结构化思考与表达
目标学员：咨询顾问、产品经理
想纠正的认知误区：逻辑好就等于表达好
学员困境案例：准备了一周的材料，汇报时老板说"听不懂你在说什么"
AI输出：
【人格推荐】ENFJ
理由：素材特征为鼓舞型叙事、集体行动、教育导向，ENFJ叙事风格最适合。
【线下课开场口播稿】（约 5 分钟）
（走上讲台，沉默 3 秒）
"在座有没有人，做了 50 页 PPT，结果老板说：'你能不能直接说结论？'"
（观众举手）
"上个月我一个学员，带了一整年的数据，准备了 3 个方案，讲了 40 分钟。
老板打断他：'所以你到底建议哪个？'
他说：'我还在论证。'
老板：'那你论证完了再叫我。'"
（停顿）
"他后来跟我复盘，说：'我明明逻辑很严密，为什么他觉得我混乱？'"
（走到白板前画两个圈）
"逻辑好，是你的世界里的秩序。
表达好，是别人世界里的秩序。
今天我们不讲金字塔原理——那本书你们都看过。
我们讲，怎么把你的逻辑，装进别人的脑子里。"
（点开第一页 PPT："让老板一次听懂"）
"前 Google 产品经理 张涛，用一整天，拆解 15 个真实汇报案例。开始。"
【线上课视频开场文案】（约 3 分钟）
[完整叙事]
【课程详情页"你将学到什么"的叙事版】
[完整叙事]
📋 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？（共鸣→冲突→转折→结果→认知）
- 有真实感？（具体细节锚点：时间/地点/数字/学员案例）
- 有认知提炼？（教育哲学/价值观，不是"我们教什么"，而是"学员为什么需要学"）
- 有价值输出？（读者能带走的具体方法/视角/行动）
- 适合教育表达？（与目标学员画像匹配）
伦理与合规（由 narrative-meta 驱动）
- 伦理审查通过？（无事实篡改/无不当省略/无隐私泄露）
- 去AI化检测通过？（7条规则全部通过）
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 · 134 lines · 0 tokens per session scan A c96c1677b4ec
dragoncraft-teach is a skill published in the GitHub repository lj22503/diaolong-skill (5 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 1,592 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to dragoncraft-art, differing in 137 lines, and is treated as a copy.
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novel-writer
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