Content Boom Monitor
xintu1314/content-boom-monitor
Search Xiaohongshu (小红书) and Douyin (抖音) keywords for high-engagement posts and monitor competitor accounts for account-relative anomalies through Just One API, then normalize, deduplicate, rank…
Run the AI博主爬取 Feishu 收藏 table orchestration layer. An agent skill from dragon-hh/ai-boshu-crawler.
Install Favorites Runner
$ npx skills add dragon-hh/ai-boshu-crawler --skill favorites-runner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dragon-hh/ai-boshu-crawler favorites-runner --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/dragon-hh/ai-boshu-crawler.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/favorites-runner .claude/skills/favorites-runner && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "favorites-runner" agent skill from https://github.com/dragon-hh/ai-boshu-crawler/tree/main/.agents/skills/favorites-runner into .claude/skills/favorites-runner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "favorites-runner", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/dragon-hh/ai-boshu-crawler/tree/main/.agents/skills/favorites-runnerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add dragon-hh/ai-boshu-crawler --skill favorites-runner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dragon-hh/ai-boshu-crawler favorites-runner --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dragon-hh/ai-boshu-crawler.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/favorites-runner .agents/skills/favorites-runner && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "favorites-runner" agent skill from https://github.com/dragon-hh/ai-boshu-crawler/tree/main/.agents/skills/favorites-runner into .agents/skills/favorites-runner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "favorites-runner", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dragon-hh/ai-boshu-crawler --skill favorites-runner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dragon-hh/ai-boshu-crawler favorites-runner --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dragon-hh/ai-boshu-crawler.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/favorites-runner .cursor/skills/favorites-runner && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "favorites-runner" agent skill from https://github.com/dragon-hh/ai-boshu-crawler/tree/main/.agents/skills/favorites-runner into .cursor/skills/favorites-runner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "favorites-runner", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/dragon-hh/ai-boshu-crawler.git --path .agents/skills/favorites-runner--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add dragon-hh/ai-boshu-crawler --skill favorites-runner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dragon-hh/ai-boshu-crawler favorites-runner --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dragon-hh/ai-boshu-crawler.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/favorites-runner .gemini/skills/favorites-runner && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "favorites-runner" agent skill from https://github.com/dragon-hh/ai-boshu-crawler/tree/main/.agents/skills/favorites-runner into .gemini/skills/favorites-runner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "favorites-runner", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install dragon-hh/ai-boshu-crawler favorites-runnerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add dragon-hh/ai-boshu-crawler --skill favorites-runner -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/dragon-hh/ai-boshu-crawler.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/favorites-runner .github/skills/favorites-runner && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "favorites-runner" agent skill from https://github.com/dragon-hh/ai-boshu-crawler/tree/main/.agents/skills/favorites-runner into .github/skills/favorites-runner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "favorites-runner", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dragon-hh/ai-boshu-crawler --skill favorites-runner -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install dragon-hh/ai-boshu-crawler favorites-runner --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dragon-hh/ai-boshu-crawler.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/favorites-runner .opencode/skills/favorites-runner && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "favorites-runner" agent skill from https://github.com/dragon-hh/ai-boshu-crawler/tree/main/.agents/skills/favorites-runner into .opencode/skills/favorites-runner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "favorites-runner", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
favorites-runner- GitHub stars
- 106
- Token cost
- ~924 tokens
- SKILL.md length
- 347 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 21
- Repo updated
- First seen
- Licence
- None found
At a glance
Run the AI博主爬取 Feishu 收藏 table orchestration layer. An agent skill from dragon-hh/ai-boshu-crawler.
- Works in 2 steps: feishu-base-config.json ->… → a Feishu Base table named 收藏
- The task is to read enabled favorite-source rows
- SKILL.md covers Scope, Feishu Table, Command and Outputs, plus 1 more section
- Runs Python scripts from its folder; calls python
What it does
Favorites Runner is an agent skill from dragon-hh/ai-boshu-crawler. Run the AI博主爬取 Feishu 收藏 table orchestration layer. Use when the task is to read enabled favorite-source rows, call the Bilibili/Douyin/Xiaohongshu favorite-link extractors, dedupe against the existing Feishu 视频 table, write manifests, optionally write extraction status back to 收藏 rows, produce a download plan for existing platform download skills, then sync downloaded favorite items into the 视频 table and link them back to 收藏 rows.
Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `agents/openai.yaml` and `scripts/run_favorites_from_feishu.py`).
It sits in Productivity & Automation, covering Messaging and chat bots. It works with Feishu (Lark), Bilibili, Douyin and Xiaohongshu. The repository describes itself as: AI creator ingestion workflows for Bilibili, Douyin, and Feishu Base.
When your agent uses it
- The task is to read enabled favorite-source rows
- Call the Bilibili/Douyin/Xiaohongshu favorite-link extractors
- Dedupe against the existing Feishu 视频 table
- Write manifests
Example prompts
- “/favorites-runner”
Requirements
- Python 3
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- feishu-base-config.json -> tables.favorites.table_id
- a Feishu Base table named 收藏
What it can do on your machine
Read from SKILL.md and the folder at commit 57ad263. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Favorites Runner loads about 924 tokens when it runs. Until then it costs about 113 tokens; SKILL.md has 347 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 347 words (~924 tokens).
“Use this skill for the project-level 收藏 table workflow in E:\projects\codexProjects\AI博主爬取.”
- name
- favorites-runner
Files
SKILL.md and 2 other files (scripts) in .agents/skills/favorites-runner of dragon-hh/ai-boshu-crawler.
- SKILL.md
- agents/openai.yaml
- scripts/run_favorites_from_feishu.py
Open the folder on GitHubat commit 57ad263
Compare with similar skills
Favorites Runner next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Favorites Runner this skilldragon-hh/ai-boshu-crawler | 106 | — | ~924 | Automated safety check: Pass | None | |
| Content Boom Monitorxintu1314/content-boom-monitor | 113 | — | ~2.2k | Automated safety check: Pass | None | |
| Cn Content MatrixLeoYeAI/openclaw-master-skills | 2.2k | — | ~2.4k | Automated safety check: Notes | MIT | |
| FeedgrabiBigQiang/feedgrab | 614 | — | ~2k | Automated safety check: Pass | MIT | |
| SpecfusionLiangNiang/OpenMantis | 110 | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | |
| Social Cover DirectorJamailar/Beav | 1.8k | — | ~1.7k | Automated safety check: Warn | Custom licence |
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Cn Content Matrix
LeoYeAI/openclaw-master-skills
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Feedgrab
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Specfusion
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企业微信 飞书 钉钉 淘宝 小红书 抖音电商 微信小程序 微信小店 拼多多 有赞 微信支付 支付宝 京东 SHEIN 得物 火山引擎 阿里云百炼 泛微 北森 API文档搜索。
Social Cover Director
Jamailar/Beav
A skill your agent uses when the user wants to plan or generate a social media cover image for a Xiaohongshu note, Douyin/TikTok photo post, Reels/Shorts cover, WeChat/Video Account post…
Video Downloader
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Download or open videos and recover platform captions, audio transcripts, keyframes, screen text, visual facts, and editing observations as a plain multimodaltranscript.md.
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Related
Works with
Categories
Questions about Favorites Runner
What does Favorites Runner do?
Run the AI博主爬取 Feishu 收藏 table orchestration layer. An agent skill from dragon-hh/ai-boshu-crawler. Favorites Runner is an agent skill from dragon-hh/ai-boshu-crawler. Run the AI博主爬取 Feishu 收藏 table orchestration layer.
When should I use Favorites Runner?
Favorites Runner fits situations like: the task is to read enabled favorite-source rows; call the Bilibili/Douyin/Xiaohongshu favorite-link extractors; dedupe against the existing Feishu 视频 table; write manifests.
How do I install Favorites Runner in Claude Code?
Run `npx skills add dragon-hh/ai-boshu-crawler --skill favorites-runner -a claude-code`. Or copy the skill folder (.agents/skills/favorites-runner in dragon-hh/ai-boshu-crawler) into .claude/skills/favorites-runner in your project. Claude Code loads it when a task matches its description.
How do I install Favorites Runner in Codex?
Run `npx skills add dragon-hh/ai-boshu-crawler --skill favorites-runner -a codex`. Or copy the skill folder (.agents/skills/favorites-runner in dragon-hh/ai-boshu-crawler) into .agents/skills/favorites-runner in your project. Codex loads it when a task matches its description.
Can I use Favorites Runner in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dragon-hh/ai-boshu-crawler --skill favorites-runner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/favorites-runner, .gemini/skills/favorites-runner, .github/skills/favorites-runner and .opencode/skills/favorites-runner in your project.
What does Favorites Runner need to run?
Going by SKILL.md and its folder, Favorites Runner needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Favorites Runner access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Favorites Runner safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Favorites Runner use?
No licence was found for Favorites Runner or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Favorites Runner use?
About 924 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Favorites Runner?
Skills that share tags, products or a category with Favorites Runner: Content Boom Monitor (xintu1314/content-boom-monitor, 113 stars), Cn Content Matrix (LeoYeAI/openclaw-master-skills, 2.2k stars), Feedgrab (iBigQiang/feedgrab, 614 stars) and Specfusion (LiangNiang/OpenMantis, 110 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Favorites Runner?
dragon-hh (a GitHub user) maintains it in dragon-hh/ai-boshu-crawler, which has 106 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on August 11, 2026.
Source: dragon-hh/ai-boshu-crawler on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.