Content Boom Monitor skill

A Codex skill that tracks keywords and benchmark accounts on Xiaohongshu and Douyin and logs standout posts to a Feishu table.

  • 125 ★ on the repository
  • Last commit
Skill

Extended access

Why this level

  • A paid third-party API with a token, and writes to a company Feishu table when run with `--write`.
All reasons and checks

xintu1314/content-boom-monitor

Install

In your terminal, with SkillFoxx CLI

npx skillfoxx add skills/content-boom-monitor

Detects the agents on your machine, shows the access level and pins the version.

Other ways to install

Access and checks

How we review

Extended accessThe tool runs code or makes network calls and only reads external data.

  • A paid third-party API with a token, and writes to a company Feishu table when run with `--write`.

This is third-party code. Review the repository files before installing.

What it does

Content Boom Monitor collects public Xiaohongshu and Douyin posts through the paid Just One API for a list of keywords and benchmark accounts. Data is normalized, deduplicated by platform and post ID, and each account's engagement is compared with its own median. Posts get tiers T1, T2 and T3, Codex briefly analyses up to ten candidates, and the table and report go to a Feishu Base. The `publish_feishu.py` script writes with the `--write` flag.

Who it is for. Content managers and social media marketers who mine Chinese platforms for topics and benchmark competitors by engagement.

Good fit when

  • You want a daily list of AI-tools posts from Xiaohongshu and Douyin.
  • A small competitor account posted something far above its usual engagement.
  • A team keeps an idea base in Feishu and wants it filled automatically.
  • The first run is capped at three keywords and two accounts per platform.

Not a fit when

  • You need day-over-day growth speed: the version scores outliers within an account, not trends.
  • You have no Just One API token or authorized `lark-cli`.
  • You need other social networks: only two platforms are supported.

Example request

Build a trial report for a keyword from the Feishu table and show the top 10 posts with engagement scores, without writing anything.

Limitations

The skill depends on a third-party paid API and its token. A keyword result is a candidate for popular content, not proof of network-wide virality. The last commit is from August 2026. Do a trial run before unattended `--write` runs and authorize writing to a specific table. The project targets Codex and a Chinese stack of Xiaohongshu, Douyin and Feishu, and documentation is mostly in Chinese. Limit Feishu write access to the one table you need.

How to disable. Delete `~/.codex/skills/content-boom-monitor`, revoke the Just One API token and `lark-cli` access, and stop any cron or Automation schedule you set up.

FAQ

Which platforms are supported?

Xiaohongshu and Douyin. Both are mapped to one field set and duplicates are removed by platform and post ID.

What do tiers T1, T2 and T3 mean?

They mark deviation: potential, hit and phenomenon. The tier depends on the ratio to the account median and an absolute engagement threshold.

Does the skill write to Feishu by itself?

Only with the `--write` flag of `publish_feishu.py`. Without it you get a preview of the result.

How do I run a safe first pass?

First build a limited config: 3 keywords, 2 accounts per platform, 1 page. Then run `pilot_monitor.py` and inspect the output folder.

Where are API responses stored?

Raw responses are saved in the output `raw/` folder with secrets redacted. The token must never be written to files, reports or Feishu.

Discussion

No questions or reviews yet.

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Comparison with similar tools

Cards that share the main search query, and how they differ.

ToolOfficialAuthenticationRepository starsMain difference
Content Boom Monitor (this card)no125
TrendRadaryesnot required63,615aggregates trends and news from many sources; Content Boom Monitor scores post engagement against the account baseline
xiaohongshu-mcpnonot required17,104gives an agent Xiaohongshu access through MCP; this one is a separate monitoring pipeline reporting to Feishu

README in short

Scripts handle the repeatable steps, Codex does the semantic analysis and a person decides whether a topic fits. No scheduler is imposed: Codex Automation, cron or CI all work.

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