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-sustainablegit 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-sustainable)<a href="https://agentmods.dev/skills/lj22503/diaolong-skill/narrative-sustainable"><img src="https://agentmods.dev/badge/skills/lj22503/diaolong-skill/narrative-sustainable/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-sustainable"><img src="https://agentmods.dev/badge/skills/lj22503/diaolong-skill/narrative-sustainable.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 | $0.00073 | $0.01726 |
| Opus 5 | $0.00036 | $0.00863 |
| Sonnet 5 | $0.00015 | $0.00345 |
| Haiku 4.5 | $0.00007 | $0.00173 |
Grade A, and why
dragoncraft-green 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.
This is a copy
83% identical to dragoncraft-art — 147 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
雕龙·长青 (DragonCraft Green)
描述：可持续叙事教练。内嵌叙事元系统，帮助用户把环保理念/行动/影响变成有逻辑、有冲突、有认知、有价值的可持续叙事。
🎯 功能
输入字段（四层素材）
- 我们关注什么环境问题（议题/场景/严重性）：
- 我们做了什么（行动/投入/合作）：
- 改变了什么（成果/数据/影响）：
- 下一步是什么（承诺/目标/参与方式）：
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（消费者/投资人/监管机构/NGO）
- 叙事人格（可选）：不填时根据素材特征自动推荐（INFJ/ENFJ/INFP）
- 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
- ⚠️ 强制合规：可持续叙事不得"漂绿"（greenwashing），必须有具体数据和行动支撑
结构
环境问题 → 现状痛点/现有方案不足 → 行动入场/关键突破 → 改变/数据/影响 → 可持续哲学
输出
- 可持续报告版（800-1200字）
- 行动号召版（300-500字）
- 品牌承诺版（150-300字）
🔗 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（可持续叙事不得"漂绿"，必须有具体数据和行动支撑） |
| 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
- 写成公关稿：只罗列环保行动，没有具体数据和影响，缺乏可信度
- 写成悲情故事：只渲染环境危机，没有行动和改变，缺乏希望
- 只讲成功：没有承认可持续的复杂性和长期性，像机器人写的
- 组织过度完美：没有承认不足和需要改进的地方，消费者不信任
- 空喊口号：没有具体的数据锚点和行动指南（"漂绿"风险）
🧪 使用示例
示例1：可持续报告版
用户输入：
我们关注什么环境问题：塑料污染，每年 800 万吨塑料进入海洋
我们做了什么：推出可降解包装，减少 50% 塑料使用，与 NGO 合作清理海洋
改变了什么：100 万用户参与，减少 100 吨塑料，清理 10 公里海岸线
下一步是什么：2026 年实现 100% 可降解包装，邀请用户参与
AI输出：
【人格推荐】INFJ
理由：素材特征为深度思考、可持续理念、长期主义，INFJ叙事风格最适合。
【可持续报告版】（约1000字）
800 万吨。
这是每年进入海洋的塑料量。
相当于每分钟一辆垃圾车的塑料，倒入海洋。
我们不是"受害者"。
我们是"贡献者"。
2023年，我们做了件事：
把产品包装，从塑料换成可降解材料。
不是"营销"。
是"必须"。
第一年，我们减少了 50% 的塑料使用。
不是"很容易"。
是"必须做"。
我们和 NGO 合作，清理海岸线。
100 万用户参与。
100 吨塑料减少。
10 公里海岸线清理。
数据不会说谎。
但数据，不是全部。
更重要的是：
100 万人，开始思考"塑料"这个问题。
不是"别人该做"。
是"我该做"。
2026年，我们要实现 100% 可降解包装。
不是"目标"。
是"承诺"。
我们邀请你：
参与。监督。改进。
因为可持续，不是"我们"的事。
是"我们所有人"的事。
⚠️ 本报告数据经过第三方审计，可验证。
【行动号召版】（约400字）
[完整叙事]
【品牌承诺版】（约200字）
我们承诺：
- 2026年实现100%可降解包装
- 每年发布可持续报告，数据经第三方审计
- 邀请用户参与和监督
- 不"漂绿"，只行动
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.
- 12d ago First seen · 156 lines · 0 tokens per session scan A bd34a3f0ead7
dragoncraft-green is a skill published in the GitHub repository lj22503/diaolong-skill (5 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 1,726 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to dragoncraft-art, differing in 147 lines, and is treated as a copy.
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