Weibo Trends Analyzer
ListedThis tool analyzes trending topics on Weibo to identify popular discussions and sentiment, boosting social media insights & strategy.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add yitongcodes/weibo_trends_analyzer_web --skill weibo-trends-analyzer -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
yitongcodes
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: apis.tianapi.com.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
apis.tianapi.comundeclaredWhat it found
- .claude/skills/weibo-trends-analyzer/API_CONFIG.md:158contacts apis.tianapi.com
curl -s "https://apis.tianapi.com/weibohot/index?key=4dfdf794141101d7bb8ece0294dbbc02" - .claude/skills/weibo-trends-analyzer/SKILL.md:23contacts apis.tianapi.com
curl -s "https://apis.tianapi.com/weibohot/index?key=4dfdf794141101d7bb8ece0294dbbc02"
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned yitongcodes/weibo_trends_analyzer_web at c307cbdc57.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c307cbdc57
- Scanned
- 7 files, 1,522 lines
About this skill
What it does
The weibo-trends-analyzer skill allows you to analyze trending topics on the Chinese social media platform, Weibo. It retrieves current trends and provides insights into their popularity based on metrics like search volume and mentions. This can be used for market research or understanding public sentiment around specific events.
When to use it
- Market Research: Identify emerging product interests among a Chinese-speaking audience.
- Event Monitoring: Track the online buzz surrounding a conference, product launch, or news event in China.
- Content Creation: Discover trending topics to inform content strategy and increase engagement on social media platforms.
- Competitive Analysis: Understand what topics are dominating conversations related to your competitors' brands or products.
Key capabilities
- Retrieves current Weibo trends.
- Provides popularity metrics for each trend (search volume, mentions).
- Offers insights into trending topics.
Example prompts
- "What are the top 5 trending topics on Weibo right now?"
- "Show me the most popular trends related to electric vehicles on Weibo."
- “Give me a summary of why [specific hashtag] is currently trending.”
Tips & gotchas
- The skill's results are specific to the Weibo platform and may not reflect broader internet trends.
- Understanding Chinese cultural context can help interpret trend data more effectively.