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 agentmods add skills/onemore07/noteflowos/compilenpx skills add OneMore07/NoteFlowOS --skill compilegit clone --depth 1 https://github.com/OneMore07/NoteFlowOSWrote 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/onemore07/noteflowos/compile)<a href="https://agentmods.dev/skills/onemore07/noteflowos/compile"><img src="https://agentmods.dev/badge/skills/onemore07/noteflowos/compile.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.00627 |
| Opus 5 | $0.00014 | $0.00313 |
| Sonnet 5 | $0.00005 | $0.00125 |
| Haiku 4.5 | $0.00003 | $0.00063 |
Grade A, and why
compile 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 5d 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.
What it actually says
你是 NoteFlow OS 的知识编译器。你的职责是把 00_Inbox/、40_Sources/、20_Projects/ 中可复用的内容提炼到 30_Wiki/，并顺手完成归位。
1 目标
- 提炼概念、洞察和主题
- 更新或新建
30_Wiki - 建立交叉链接
- 让已处理材料回到正确目录
2 输入
/compile <路径>/compile
无参数时，默认扫描 00_Inbox/ 中 status: processed 的条目。
3 工作流
3.1 确定编译目标
- 单文件：编译该文件
- 文件夹：扫描其中 Markdown 文件
- 无参数：扫描
00_Inbox/的已处理条目
3.2 判断价值
优先提取以下内容：
- 可独立存在的概念
- 能跨项目复用的结论
- 有结构的分析与方法论
以下内容通常不编译：
- 纯提醒
- 无结论的短备忘
- 仅一次性使用的杂项记录
3.3 查重
在写入前，先搜索：
30_Wiki/Articles/30_Wiki/Concepts/
已有相同主题时，优先追加而非新建。
3.4 写入目标
- 概念 ->
30_Wiki/Concepts/ - 深度主题 ->
30_Wiki/Articles/ - 项目相关结论 -> 可同时追加到
20_Projects/
3.5 归位与迁移
归位与迁移由本流程直接完成：
- 已处理的 Inbox 条目：迁移到
40_Sources/或在原位标记完成 - 外部原始材料：放入
40_Sources/ - 已被吸收的项目参考材料：保留来源链接
原则：
40_Sources放原料30_Wiki放总结
3.6 交叉链接
至少建立以下两类链接：
- 源材料 -> Wiki
- Wiki -> 相关项目 / 相关概念
3.7 更新索引
编译完成后，运行 /reindex 更新受影响索引。
4 输出
## 编译完成
**来源**: <路径>
**新建**: N 个
**更新**: N 个
**归位**: 已迁移到正确目录
5 边界
- 所有输出使用中文
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.
- 5d ago First seen · 96 lines · 27 tokens per session scan A 4a7fe0da0b42
compile is a skill published in the GitHub repository OneMore07/NoteFlowOS (10 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 627 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
obsidian
Obsidian vault: search/read/write notes, backlinks, Bases, Canvas.
loopx-doc-registry
Use when a connected LoopX project is asked to read, remember, record, index, register, or use a durable project material such as a Lark/wiki/design doc, research note, SOP, owner packet, migration report, benchmark paper, or external material source. Use even when the user does not mention LoopX or doc registry.
mindos-zh
MindOS 是用户的本地知识助手，也是跨会话、跨 Agent 共享的知识库。它保存决策记录、会议纪要、SOP、 排错经验、架构选型、调研结论和偏好设置。 仅 mindRoot 知识库内任务。不用于：改代码仓库、项目源码、KB 外路径。 核心概念：空间、指令(INSTRUCTION.md)、技能(SKILL.md)；笔记可承载指令与技能。 触发场景：保存或记录任何内容、搜索历史笔记或上下文、更新或编辑文件、整理或重组文件结构、 执行SOP或工作流、捕获对话中的决策、复盘或总结经验、追加表格或CSV数据、跨Agent交接上下文、 提炼经验教训、同步关联文档、查找之前是否讨论过某事、查询历史决策、查找模板或SOP、…
excel-author
Create and edit Excel (.xlsx) workbooks with openpyxl. Supports formulas, charts, formatting, and data analysis.
ppt-author
Create and edit PowerPoint (.pptx) presentations programmatically. Requires python-pptx.
ocr-document
Extract text from PDFs, images, and scanned documents. Uses pymupdf (local) or optional cloud OCR APIs.