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 jaylpp/pandajay-skills --skill chat-to-notesgit clone --depth 1 https://github.com/jaylpp/pandajay-skillsWrote 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/jaylpp/pandajay-skills/chat-to-notes)<a href="https://agentmods.dev/skills/jaylpp/pandajay-skills/chat-to-notes"><img src="https://agentmods.dev/badge/skills/jaylpp/pandajay-skills/chat-to-notes/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/jaylpp/pandajay-skills/chat-to-notes"><img src="https://agentmods.dev/badge/skills/jaylpp/pandajay-skills/chat-to-notes.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 | $0.00086 | $0.01624 |
| Opus 5 | $0.00043 | $0.00812 |
| Sonnet 5 | $0.00017 | $0.00325 |
| Haiku 4.5 | $0.00009 | $0.00162 |
Grade A, and why
chat-to-notes 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
对话转笔记
把对话变成一篇文章，不是一份报告。
像在跟朋友讲"我今天搞了个什么事"一样，自然地把探索过程写出来。读者看完应该觉得"这人真的在分享经验"，而不是"这是 AI 按模板填的"。
最重要的一条规则
没有固定结构。 结构为内容服务，不是反过来。
不要出现这种机械的骨架：
❌ 禁止的套路：
## 背景
## 探索过程
### 第一版：xxx
### 第二版：xxx
## 关键结论
## 实用启发
## 遗留问题
好文章的结构是从内容里"长"出来的，不是提前规定好的。每篇笔记的小标题应该是独特的、跟内容强相关的，而不是通用的分类标签。
怎样才算好文章
对比感受一下
模板感的写法（不要）：
背景
产品经理希望有一个 skill，能根据需求描述快速生成原型。
探索过程
第一版：直接输出 Vue 代码
最初的想法是输出 Vue 代码...
第二版：改成 HTML Demo
换了思路...
关键结论
- 原型的核心是"可演示"
- 改造优于新建
套路一眼就看穿了——几篇下来，读者就知道你永远是这几个板块换皮。
文章感的写法（要这样）：
原型不是画出来的，是从代码里"长"出来的
事情的起因很简单：产品经理想要一个能快速出原型的工具。需求进来，原型出去，双击就能给客户演示。
最开始我想的是直接输出 Vue 代码——毕竟最终是要开发的嘛，一步到位多好。产品经理看了一眼问我："这个……能点吗？"
不能。
.vue文件得跑在开发环境里，产品经理又不可能装 Node.js。原型的价值是"拿来就能演"，不是"拿来就能编译"。想明白这一点，整个方向就变了。改成输出单个 HTML 文件之后，新的问题冒出来了——开发拿到这个 HTML 怎么办？照着重写一遍？那原型不就成了一次性的东西？
解法是在 HTML 里埋注释……
区别在哪？后者在讲一个有起伏的故事，读者会想知道"后来怎样了"。前者在汇报工作，读者只想快进到结论。
写作指引
开头：一句话勾住人
用标题和第一段把读者拉进来。好的开头让人想继续读。
- 标题要具体且有观点："原型不是画出来的，是从代码里长出来的"，而不是"原型设计 Skill 开发记录"
- 第一段交代为什么值得读，不是交代背景信息
中间：跟着好奇心走
按"一个问题引出下一个问题"的节奏展开，而不是按时间线或版本号罗列。
关键要写出来的东西：
- 动机：当时为什么这么想？
- 意外：哪里跟预期不一样？
- 转折：什么时候改变了思路？为什么？
- 判断：做了什么取舍？放弃了什么？
不需要每个都有，挑最有信息量的写。
结尾：自然收束
不需要一个"总结"板块。如果前面写得好，读者已经知道结论了。
可以用一两句话收尾——一个感悟、一个未解的问题、一个对未来的想法。像聊天结束时的最后一句话，不是结业报告。
代码怎么放
代码片段嵌在行文中，作为论据出现，不要单独攒一个"代码展示"区域。就像写技术博客时贴代码一样自然。
表达要求
| 要 | 不要 |
|---|---|
| "试了一版发现不对" | "经过评估，方案存在不足" |
| "产品经理看了一眼问我：能点吗？" | "用户反馈该方案不满足交互需求" |
| "想明白这一点，方向就变了" | "基于以上分析，我们调整了技术方案" |
| "后来发现一个巧妙的办法" | "综合考虑后，我们提出了优化方案" |
| 把结论融进叙事里 | 单独拉一个"关键结论"清单 |
核心：写出"一个人在真诚地分享他的探索经历"的感觉，而不是"一个人在交作业"。
工作流程
第一步：通读对话，找到故事
回顾整段对话，问自己：
- 如果我要跟朋友讲这次经历，我会怎么开头？
- 最有意思的转折是什么？
- 读者看完能"带走"什么？
第二步：写初稿
从最想讲的那个点开始写，不要从"背景"开始。让行文自然地带出背景信息。
写的时候想象你在跟一个聪明但不了解这件事的朋友聊天。
第三步：自检
- 把所有
##标题单独列出来看一遍——它们像是文章的目录，还是像一个固定模板的字段名？ - 把结尾的"结论清单""启发清单"删掉，看文章是不是已经把这些信息讲清楚了。如果是，就不需要清单
- 找一段连续读三遍，有没有"在念文件"的感觉？有就改到没有为止
- 有没有任何一句以"综上""基于以上""总而言之"开头的？删掉
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.
- 10d ago First seen · 167 lines · 86 tokens per session scan A 1a76a3080a3b
chat-to-notes is a skill published in the GitHub repository jaylpp/pandajay-skills (11 stars, last pushed 3mo ago), licensed MIT. It adds 86 tokens to every session and 1,624 once invoked, about $0.0004 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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