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 ai-curationgit 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/ai-curation)<a href="https://agentmods.dev/skills/onemore07/noteflowos/ai-curation"><img src="https://agentmods.dev/badge/skills/onemore07/noteflowos/ai-curation.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 | $0.00021 | $0.00410 |
| Opus 5 | $0.00010 | $0.00205 |
| Sonnet 5 | $0.00004 | $0.00082 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
ai-curation 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 8d 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
AI Curation
将 AI 资讯、产品发布和工具更新统一整理为一个信息汇总输出。
1 目标
- 从多个公开来源抓取 AI 相关内容
- 对重复项做去重和合并
- 按统一分类整理结果
- 输出到
40_Sources/Feeds/
2 输入
- 日期窗口
- 主题偏好
- 是否更偏资讯或更偏产品
3 分类
至少输出以下类别：
- 行业资讯
- 产品发布
- 工具更新
- 值得跟进项
4 工作流
4.1 获取来源
优先使用公开可访问来源，例如：
- 技术媒体
- 产品发布平台
- 开发者社区
- 开源趋势源
4.2 去重与合并
对语义重复的条目进行合并，保留：
- 更清楚的标题
- 更完整的摘要
- 来源链接
4.3 价值排序
优先保留：
- 对知识工作和产品工作有直接帮助的更新
- 有明显行动价值的产品发布
- 可跟进的工具和平台变化
4.4 输出格式
将结果写入 40_Sources/Feeds/YYYY-MM/，文件类型为 curation。
5 输出
## AI 信息汇总完成
**时间窗口**: <日期范围>
**总条目**: N
**行业资讯**: N
**产品发布**: N
**工具更新**: N
**值得跟进**: N
6 边界
- 本 skill 统一承载 AI 资讯、产品发布和工具更新的整理工作
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.
- 8d ago First seen · 78 lines · 21 tokens per session scan A cf54d8f6d2b8
ai-curation is a skill published in the GitHub repository OneMore07/NoteFlowOS (10 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 410 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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