Favorites Runner
dragon-hh/ai-boshu-crawler
Run the AI博主爬取 Feishu 收藏 table orchestration layer. An agent skill from dragon-hh/ai-boshu-crawler.
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…
Install Content Boom Monitor
$ npx skills add xintu1314/content-boom-monitor --skill content-boom-monitor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xintu1314/content-boom-monitor content-boom-monitor --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "content-boom-monitor" agent skill from https://github.com/xintu1314/content-boom-monitor/tree/main into .claude/skills/content-boom-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-boom-monitor", 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.
$ npx skills add xintu1314/content-boom-monitor --skill content-boom-monitor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xintu1314/content-boom-monitor content-boom-monitor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "content-boom-monitor" agent skill from https://github.com/xintu1314/content-boom-monitor/tree/main into .agents/skills/content-boom-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-boom-monitor", 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 xintu1314/content-boom-monitor --skill content-boom-monitor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xintu1314/content-boom-monitor content-boom-monitor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "content-boom-monitor" agent skill from https://github.com/xintu1314/content-boom-monitor/tree/main into .cursor/skills/content-boom-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-boom-monitor", 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.
$ npx skills add xintu1314/content-boom-monitor --skill content-boom-monitor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xintu1314/content-boom-monitor content-boom-monitor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "content-boom-monitor" agent skill from https://github.com/xintu1314/content-boom-monitor/tree/main into .gemini/skills/content-boom-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-boom-monitor", 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 xintu1314/content-boom-monitor content-boom-monitorInstalls 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 xintu1314/content-boom-monitor --skill content-boom-monitor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "content-boom-monitor" agent skill from https://github.com/xintu1314/content-boom-monitor/tree/main into .github/skills/content-boom-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-boom-monitor", 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 xintu1314/content-boom-monitor --skill content-boom-monitor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xintu1314/content-boom-monitor content-boom-monitor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "content-boom-monitor" agent skill from https://github.com/xintu1314/content-boom-monitor/tree/main into .opencode/skills/content-boom-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-boom-monitor", 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
content-boom-monitor- GitHub stars
- 113
- Token cost
- ~2.2k tokens
- SKILL.md length
- 942 words
- Files
- 12 (incl. scripts, references)
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- None found
At a glance
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…
- Works in 7 steps: Collect minimal input → Prepare the run config → Run collection → …
- The user asks to 搜关键词找爆款笔记或视频、建立或运行关键词爆款监控、对标账号监控、爆款雷达、竞品内容监控、异常作品检测、内容库更新、飞书内容监控日报
- SKILL.md covers Operating principles, Workflow, Scaling gate and References
- Runs Python scripts from its folder; calls python3; needs JUSTONE_API_TOKEN and CBM_FEISHU_BASE_TOKEN
What it does
Content Boom Monitor is an agent skill from 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, analyze, and publish selected results to Feishu Base. Use when the user asks to 搜关键词找爆款笔记或视频、建立或运行关键词爆款监控、对标账号监控、爆款雷达、竞品内容监控、异常作品检测、内容库更新、飞书内容监控日报, or calibrate these monitoring rules.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `README.md`, `agents/openai.yaml` and `references/feishu-schema.md`).
It sits in Productivity & Automation, covering Messaging and chat bots. It works with Feishu (Lark), Xiaohongshu and Douyin. The repository describes itself as: Codex skill for Xiaohongshu and Douyin keyword and competitor-account monitoring with Just One API and Feishu Base.
When your agent uses it
- The user asks to 搜关键词找爆款笔记或视频、建立或运行关键词爆款监控、对标账号监控、爆款雷达、竞品内容监控、异常作品检测、内容库更新、飞书内容监控日报
- Calibrate these monitoring rules
Example prompts
- “/content-boom-monitor”
Requirements
- Python 3
- A credential in JUSTONE_API_TOKEN
- A credential in CBM_FEISHU_BASE_TOKEN
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Collect minimal input
- Prepare the run config
- Run collection
- Review collection quality
- Apply AI analysis automatically
- Preview and publish to Feishu
- Ask for lightweight feedback
What it can do on your machine
Read from SKILL.md and the folder at commit 98e786e. 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 4 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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 these keys or tokens, usually read from environment variables:
JUSTONE_API_TOKENCBM_FEISHU_BASE_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Content Boom Monitor loads about 2.2k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 942 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 942 words (~2,213 tokens).
“Run a small, evidence-based content-monitoring pipeline for Xiaohongshu and Douyin. Keep human input limited to seed keywords, account links/IDs, and final relevance feedback.”
- name
- content-boom-monitor
Files
SKILL.md and 11 other files (scripts, references) in the repository root of xintu1314/content-boom-monitor.
- SKILL.md
- .gitignore
- README.md
- agents/openai.yaml
- references/feishu-schema.md
- references/justoneapi.md
- references/pilot-config.md
- references/scoring.md
- scripts/apply_analysis.py
- scripts/build_config_from_feishu.py
- scripts/pilot_monitor.py
- scripts/publish_feishu.py
Open the folder on GitHubat commit 98e786e
Compare with similar skills
Content Boom Monitor 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 |
|---|---|---|---|---|---|---|
| Content Boom Monitor this skillxintu1314/content-boom-monitor | 113 | — | ~2.2k | Automated safety check: Pass | None | |
| Favorites Runnerdragon-hh/ai-boshu-crawler | 106 | — | ~924 | Automated safety check: Pass | None | |
| Single Video To Feishudragon-hh/ai-boshu-crawler | 106 | — | ~1.6k | Automated safety check: Pass | None | |
| Chrome Daily Update Checkdragon-hh/ai-boshu-crawler | 106 | — | ~1.3k | Automated safety check: Pass | None | |
| Add Creator To Feishudragon-hh/ai-boshu-crawler | 106 | — | ~2.4k | Automated safety check: Pass | None | |
| SpecfusionLiangNiang/OpenMantis | 110 | — | ~2.1k | Automated safety check: Notes | Apache-2.0 |
Similar skills
Single Video To Feishu
dragon-hh/ai-boshu-crawler
Download and parse one Bilibili, Douyin, or Xiaohongshu video URL into this project's Feishu 视频 table.
Chrome Daily Update Check
dragon-hh/ai-boshu-crawler
Run the AI blogger crawler daily update check for Bilibili, Douyin, Xiaohongshu, and YouTube with Chrome producers only where required, the merged Xiaohongshu profile-video skill, and the yt-dlp…
Add Creator To Feishu
dragon-hh/ai-boshu-crawler
Add Bilibili, Douyin, Xiaohongshu, or YouTube creator homepages to this project's Feishu Base 博主 table from only creator homepage URLs.
Specfusion
LiangNiang/OpenMantis
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。
Feedgrab Batch
iBigQiang/feedgrab
Batch content grabber — bulk fetch bookmarks, user tweets, search results, author notes, wiki pages, subreddit posts, and more from X/Twitter, Xiaohongshu, Reddit, WeChat, YouTube, Feishu, Zhihu.
Related
Works with
Categories
Questions about Content Boom Monitor
What does Content Boom Monitor do?
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…. Content Boom Monitor is an agent skill from 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, analyze, and publish selected results to Feishu Base.
When should I use Content Boom Monitor?
Content Boom Monitor fits situations like: the user asks to 搜关键词找爆款笔记或视频、建立或运行关键词爆款监控、对标账号监控、爆款雷达、竞品内容监控、异常作品检测、内容库更新、飞书内容监控日报; calibrate these monitoring rules.
How do I install Content Boom Monitor in Claude Code?
Run `npx skills add xintu1314/content-boom-monitor --skill content-boom-monitor -a claude-code`. Or copy the skill folder (the xintu1314/content-boom-monitor repository) into .claude/skills/content-boom-monitor in your project. Claude Code loads it when a task matches its description.
How do I install Content Boom Monitor in Codex?
Run `npx skills add xintu1314/content-boom-monitor --skill content-boom-monitor -a codex`. Or copy the skill folder (the xintu1314/content-boom-monitor repository) into .agents/skills/content-boom-monitor in your project. Codex loads it when a task matches its description.
Can I use Content Boom Monitor 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 xintu1314/content-boom-monitor --skill content-boom-monitor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/content-boom-monitor, .gemini/skills/content-boom-monitor, .github/skills/content-boom-monitor and .opencode/skills/content-boom-monitor in your project.
What does Content Boom Monitor need to run?
Going by SKILL.md and its folder, Content Boom Monitor needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named JUSTONE_API_TOKEN and CBM_FEISHU_BASE_TOKEN. Our summary lists: Python 3; A credential in JUSTONE_API_TOKEN; A credential in CBM_FEISHU_BASE_TOKEN.
Does Content Boom Monitor 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 Content Boom Monitor 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 Content Boom Monitor use?
No licence was found for Content Boom Monitor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Content Boom Monitor use?
About 2.2k tokens (SKILL.md is roughly 8.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.
What are the alternatives to Content Boom Monitor?
Skills that share tags, products or a category with Content Boom Monitor: Favorites Runner (dragon-hh/ai-boshu-crawler, 106 stars), Single Video To Feishu (dragon-hh/ai-boshu-crawler, 106 stars), Chrome Daily Update Check (dragon-hh/ai-boshu-crawler, 106 stars) and Add Creator To Feishu (dragon-hh/ai-boshu-crawler, 106 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Content Boom Monitor?
xintu1314 (a GitHub user) maintains it in xintu1314/content-boom-monitor, which has 113 GitHub stars. The repository was last updated on August 3, 2026.
Source: xintu1314/content-boom-monitor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.