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 YangsonHung/awesome-agent-skills --skill topic-bookmarks-reorganizer-cngit clone --depth 1 https://github.com/YangsonHung/awesome-agent-skillsWrote 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/yangsonhung/awesome-agent-skills/topic-bookmarks-reorganizer-cn)<a href="https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/topic-bookmarks-reorganizer-cn"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/topic-bookmarks-reorganizer-cn/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/yangsonhung/awesome-agent-skills/topic-bookmarks-reorganizer-cn"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/topic-bookmarks-reorganizer-cn.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 | $0.00033 | $0.00590 |
| Opus 5 | $0.00016 | $0.00295 |
| Sonnet 5 | $0.00007 | $0.00118 |
| Haiku 4.5 | $0.00003 | $0.00059 |
Grade A, and why
topic-bookmarks-reorganizer-cn 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 12d 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
Topic Bookmarks Reorganizer(中文)
Overview
把浏览器书签导出文件中的用户指定主题目录重整为更清晰、可导入的新 Netscape HTML 文件。流程会分析源文件、提取目标主题目录、重新归类链接和子目录、按 URL 去重,并保持输出可直接导入浏览器。
何时使用
当用户有以下需求时使用本技能:
- 分析一个书签导出 HTML,并定位用户指定的主题目录
- 重新分门别类该目录下的链接与子目录
- 按 URL 去重
- 输出只包含该主题目录的可导入 HTML
不要使用
以下场景不应使用本技能:
- 输入不是浏览器书签导出 HTML
- 用户仅需要文字建议,不需要处理文件
- 用户需求与书签整理无关(如纯 JSON/PDF/Docx 处理)
使用说明
- 先向用户确认必要参数:
- 输入书签文件路径
- 主题目录名称
- 输出文件路径
- 先跑分析与预览:
python3 scripts/reorganize_topic_bookmarks.py \
--input /path/to/bookmarks.html \
--output /tmp/topic-preview.html \
--topic-folder "<topic-folder-name>" \
--mode auto \
--lang zh \
--report /tmp/topic-report.json \
--print-report
- 视情况调整参数:
--mode auto:自动选择分类策略--mode generic:使用通用分类策略--no-dedupe-url:不做 URL 去重
- 生成最终文件:
python3 scripts/reorganize_topic_bookmarks.py \
--input /path/to/bookmarks.html \
--output /path/to/topic-bookmarks-reorganized.html \
--topic-folder "<topic-folder-name>" \
--mode auto \
--lang zh
- 交付前检查并汇报:
- 确认输出文件存在
- 汇总输入链接数、输出链接数、去重移除数
- 确认输出仅包含一个顶层目录(目标主题目录)
输出要求
- 输出必须是 Netscape 书签格式,可直接导入浏览器
- 输出仅保留目标主题目录
- 尽量保留原
<A ...>属性(如 add-date/icon) - 目录结构按高层分类重组,便于后续维护
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 75 lines · 33 tokens per session scan A 0207f4ab2da8
topic-bookmarks-reorganizer-cn is a skill published in the GitHub repository YangsonHung/awesome-agent-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 590 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
ai-search-browser-use
Use this skill when a task needs AI-assisted web research via a real browser. Uses Chrome CDP (Chrome DevTools Protocol) as the primary automation method, with browser-use as fallback. Supports Gemini + Qwen queries with consolidated answers and citations.
add-tavily-tool
Add Tavily Search and Extract as keyless remote MCP tools for selected NanoClaw agent groups. Use when installing Tavily web search or URL extraction without an API key.
agent-browser
Browse the web for any task — research topics, read articles, interact with web apps, fill forms, take screenshots, extract data, and test web pages. Use whenever a browser would be useful, not just when the user explicitly asks.
browser-cdp
Use this skill when you need to control a Chrome browser via CDP (Chrome DevTools Protocol) to reuse existing login sessions. Covers: launching Chrome in debug mode, opening URLs, waiting for page load, evaluating JavaScript, taking snapshots, and extracting auth tokens. Trigger phrases: browser automation, CDP…
broken-link-checker
Scans a website to find broken links (404s, 500s). Crawls internal pages, identifies broken outbound links, and reports source pages for easy fixing. Use this when the user asks to "check for broken links", "find 404s", "audit my links", or "is my site healthy".
social-fetch
When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, postedat, text, engagement counts, media URLs…