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 OneMore07/NoteFlowOS --skill importgit 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/import)<a href="https://agentmods.dev/skills/onemore07/noteflowos/import"><img src="https://agentmods.dev/badge/skills/onemore07/noteflowos/import/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/onemore07/noteflowos/import"><img src="https://agentmods.dev/badge/skills/onemore07/noteflowos/import.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 | $0.00029 | $0.00661 |
| Opus 5.5 | $0.00012 | $0.00264 |
| Sonnet 5.5 | $0.00006 | $0.00132 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
import 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 2mo 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
Skill: /import
将外部文件（PDF、Word、HTML、纯文本）转为 Markdown 并导入 40_Sources/。
触发方式
/import <文件路径或URL>
/import <文件路径> --topic <主题名>
/import <文件路径> --compile
参数：
--topic <主题名>：指定存放的子目录（默认自动推断）--compile：导入后立即触发/compile处理该文件
支持格式
| 格式 | 处理方式 |
|---|---|
.pdf |
使用 markitdown 转换为 Markdown |
.docx / .doc |
使用 markitdown 转换为 Markdown |
.html |
提取正文内容，去除导航/广告 |
.txt |
直接导入，补全 frontmatter |
| URL | 抓取页面正文，转为 Markdown |
依赖：PDF/Word 转换需安装 markitdown 安装：
pip install markitdown
执行步骤
Step 1 — 文件检测
- 检测文件格式
- 确认文件可读
- 告知用户将存放的目标路径，等待确认
Step 2 — 格式转换
- PDF/Word → 调用 markitdown 转换
- HTML/URL → 提取正文
- 纯文本 → 直接使用
Step 3 — 去重检查
- 在
40_Sources/中搜索同名或同主题文件 - 已有相同文件 → 提示用户，不覆盖
Step 4 — 确定目标路径
优先级：
- 用户通过
--topic指定 →40_Sources/<topic>/ - 文件名/内容可推断主题 →
40_Sources/<推断主题>/ - 无法判断 →
40_Sources/未分类/
Step 5 — 写入文件
---
type: source
created: YYYY-MM-DD # 用系统时间
title: <原文件名或页面标题>
source: <原始路径或URL>
tags: []
---
Step 6 — 更新索引
- 更新
40_Sources/00_索引.md，添加新文件条目
Step 7 — 可选编译
- 如有
--compile参数，将新文件 status 设为processed，立即执行/compile
读取 Schema 章节
- §1.3（路由判断）
- §2（source 类型 frontmatter）
- §3（frontmatter 规范）
- §5（索引维护）
- §6（编译规则，当 --compile 时）
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.
- 2mo ago First seen · 90 lines · 29 tokens per session scan A ad2606646df5
import is a skill published in the GitHub repository OneMore07/NoteFlowOS (10 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 661 once invoked, about $0.0001 per session on Opus 5.5. 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.
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