maxhub-pipixia
Query PiPiXia social data with AI
Finding and analyzing content on PiPiXia requires manual browsing with no efficient way to search, compare trends, or extract insights. This skill lets you query PiPiXia data through natural language, search posts, analyze user profiles, track trending topics, and generate structured reports without leaving your AI assistant.
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測試它
正在使用「maxhub-pipixia」。 Find trending posts about food on PiPiXia
預期結果:
Found 15 trending posts about food on PiPiXia.
Top post: 'Home cooking tips that went viral' - 2.3M views
- 156K likes, 23K comments, 8.5K shares
- Posted by user 123456, 3 days ago
- Tags: cooking, recipes, foodie
Trending keywords: street food, hot pot, barbecue
Next steps: Would you like me to analyze comments or find similar creators?
正在使用「maxhub-pipixia」。 Analyze user 1310254082831248 on PiPiXia
預期結果:
User Profile: CreativeFoodie
- Followers: 45,678 | Following: 2,134
- Total posts: 892
- Joined: March 2023
Recent Posts (top 5):
1. '5-minute breakfast ideas' - 234K views
2. 'Secret restaurant in Shanghai' - 567K views
3. 'Homemade noodles tutorial' - 890K views
The user focuses on food content with high engagement on tutorial-style videos.
安全審計
低風險This skill is an API wrapper for querying PiPiXia social media data through the MaxHub API. All 225 static analysis findings are false positives. URLs point to the legitimate MaxHub API service at aconfig.cn. Shell execution patterns are markdown code examples showing curl commands for API access. Environment variable MAXHUB_API_KEY is properly declared with sensitive flag and used only for API authentication. No obfuscation, data exfiltration, or malicious patterns were found.
低風險問題 (6)
風險因素
🌐 網路存取 (22)
⚙️ 外部命令 (123)
品質評分
你能建構什麼
Content trend analysis for creators
Content creators can search trending topics, analyze popular posts, and identify content patterns to guide their creation strategy on PiPiXia.
Community research for operations teams
Operations teams can study user behavior, analyze comment data, and track hashtag trends to understand community dynamics on the platform.
Competitive monitoring for brand teams
Brand teams can monitor popular content, track engagement metrics, and analyze audience preferences on the PiPiXia social platform.
試試這些提示
Search for posts about [keyword] on PiPiXia and summarize the top results with key statistics.
Get the profile and recent posts for PiPiXia user [user_id], then summarize their content style and engagement levels.
Fetch today trending topics on PiPiXia and show me the top 10 with their popularity metrics.
Compare the performance data for these two PiPiXia posts: [post_id_1] and [post_id_2]. Show a side-by-side comparison of likes, comments, and shares.
最佳實務
- Start by checking the API key configuration to ensure queries will succeed before making requests
- Use specific search terms and known user IDs for more accurate and relevant results
- Combine multiple API endpoints for deeper analysis, such as user info plus their recent posts
避免
- Do not share or expose the MAXHUB_API_KEY value in any output or log message
- Do not make excessive repeated calls to the same endpoint to avoid rate limiting
- Do not assume data from a single endpoint provides complete context without cross-referencing
常見問題
Do I need an API key to use this skill?
What data can this skill access on PiPiXia?
Is this skill officially affiliated with PiPiXia?
Can this skill post or edit content on PiPiXia?
What languages does the skill support?
How do I configure the API key for this skill?
開發者詳情
檔案結構