secret-notes
悄悄记笔记,异步写入,不打扰聊天
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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悄悄记笔记,异步写入,不打扰聊天
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Query TikTok, YouTube, and Twitter/X data through TikHub API. Use when the user needs to fetch social media information including video details by share link, user profiles, user posts, video comments, live stream info, search videos/users, or channel data. Supports TikTok, YouTube, and Twitter/X data extraction tasks via api.tikhub.io.
使用 TikHub API 查询 TikTok、Reddit、Twitter/X、Instagram、YouTube 的帖子、用户、视频等数据
Automatically fetch tweets from followed influencers, analyze content using AI, and generate formatted posts with media processing. Features include contextual title generation (based on user's question), deduplication, fast concurrent processing, and smart media handling.
Alias of tikhub-tiktok. Use this skill name when users ask for "tikhubapi" and route to the same TikHub social APIs.
使用Kimi AI进行联网搜索,生成本地知识库和索引,适用于创建Agents、查找人设信息、构建知识库等场景
使用哼哼猫 API 下载各种网站的视频和图片,支持 YouTube、Bilibili、Twitter、Instagram、TikTok 等
| name | secret-notes |
| description | 悄悄记笔记,异步写入,不打扰聊天 |
| metadata | {"openclaw":{"emoji":"📝","requires":{"bins":["python3"]},"install":[{"id":"local","kind":"copy","files":[{"src":"secret-notes","dst":"~/.local/bin/secret-notes"}],"label":"Install secret-notes CLI"}],"priority":"low","tags":["notes","async","background","memory"]}} |
悄悄记笔记技能 - 异步写入,不打扰聊天。
{agent_name}_{YYYYMMDD}_{HHMMSS}.json
例如:
main_20260212_003300.jsonjobs_20260212_004500.json{
"timestamp": "2026-02-12T00:30:00",
"Initiator Name": "main",
"Task": "记得查一下量子计算的最新进展"
}
# 基本用法
secret-notes <agent_name> <task_description>
# 示例
secret-notes main "记得查一下量子计算资料"
secret-notes jobs "这个任务需要后台执行"
import subprocess
# 异步调用,不等待结果,不干扰聊天
subprocess.Popen(
['secret-notes', 'main', '灵光一现的想法'],
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL
)
# 不说出来,悄咪咪记
~/Documents/笔记本/
├── main_20260212_003300.json # 单条笔记
├── main_20260212_003301.json # 单条笔记
├── main_notes.json # 汇总文件(按智能体分类)
└── jobs_notes.json # 汇总文件