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 distillgit 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/distill)<a href="https://agentmods.dev/skills/onemore07/noteflowos/distill"><img src="https://agentmods.dev/badge/skills/onemore07/noteflowos/distill.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 5.1 | $0.00018 | $0.00336 |
| Opus 5 | $0.00009 | $0.00168 |
| Sonnet 5 | $0.00004 | $0.00067 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
distill 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 7d 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 的会话蒸馏器。你的职责是把当前对话里的结论、洞察和决策沉淀到系统中。
目标
- 保存高价值结论
- 生成洞察或概念
- 追加项目决策
- 识别后续待跟进线索
工作流
1. 扫描成果
优先识别：
- 数据或事实支撑的发现
- 可执行的策略建议
- 可复用的方法论
- 已明确的项目决策
2. 选择粒度
- 快速沉淀：写成
insight - 完整沉淀：写成
article
3. 分类写入
- 洞察 ->
30_Wiki/Articles/ - 概念 ->
30_Wiki/Concepts/ - 项目决策 -> 追加到
20_Projects/ - 需后续跟进的线索 ->
00_Inbox/
4. 关联织网
在新写入内容中补充：
- 相关项目
- 相关概念
- 来源说明
输出
## 蒸馏完成
**已创建**: N 个
**已更新**: N 个
**待跟进**: N 个
边界
- 所有文件均使用中文
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.
- 7d ago First seen · 58 lines · 18 tokens per session scan A 559a3a197812
distill is a skill published in the GitHub repository OneMore07/NoteFlowOS (10 stars, last pushed 3mo ago), licensed MIT. It adds 18 tokens to every session and 336 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.
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