# Send Clean Skill to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "clean-skill", "name": "Clean Skill", "source": "tencent", "type": "skill", "category": "数据分析", "sourceUrl": "https://clawhub.ai/zhongrenfei1-hub/clean-skill", "canonicalUrl": "https://clawhub.ai/zhongrenfei1-hub/clean-skill", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/clean-skill", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=clean-skill", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "examples/example_usage.py", "examples/test_high_consistency.py", "references/api_limitations.md", "references/data_schema.md", "references/sentiment_analysis.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "clean-skill", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-29T04:38:52.668Z", "expiresAt": "2026-05-06T04:38:52.668Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=clean-skill", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=clean-skill", "contentDisposition": "attachment; filename=\"clean-skill-1.1.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "clean-skill" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/clean-skill" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/clean-skill", "downloadUrl": "https://openagent3.xyz/downloads/clean-skill", "agentUrl": "https://openagent3.xyz/skills/clean-skill/agent", "manifestUrl": "https://openagent3.xyz/skills/clean-skill/agent.json", "briefUrl": "https://openagent3.xyz/skills/clean-skill/agent.md" } } ``` ## Documentation ### Restaurant Review Cross-Check Cross-reference restaurant data from Xiaohongshu and Dianping to provide validated recommendations. ### Quick Start Query restaurants by location and cuisine type: # Basic query crosscheck-restaurants "上海静安区" "日式料理" # With filters crosscheck-restaurants "北京朝阳区" "火锅" --min-rating 4.5 --min-reviews 100 ### 1. Data Collection Query both platforms simultaneously: Dianping: Fetch restaurants matching location + cuisine Extract: name, rating, review_count, price_range, address, tags Xiaohongshu: Search notes/posts matching location + cuisine Extract: restaurant_name, engagement_metrics (likes/saves), sentiment_score Note: Xiaohongshu data requires scraping as no public API ### 2. Data Matching Match restaurants across platforms using fuzzy matching: Restaurant name similarity (Levenshtein distance) Location proximity (address matching) Handle name variations (e.g., "银座寿司" vs "银座寿司静安店") See scripts/match_restaurants.py for matching logic. ### 3. Consistency Analysis Calculate consistency score based on: Rating correlation (0-1): Correlation between platform ratings Engagement validation (0-1): Do high ratings correlate with high engagement? Sentiment alignment (0-1): Do user sentiments align across platforms? Formula: consistency_score = (rating_corr * 0.5) + (engagement_val * 0.3) + (sentiment_align * 0.2) ### 4. Recommendation Score Calculate final recommendation score: recommendation_score = ( (dianping_rating * 0.4) + (xhs_engagement_normalized * 0.3) + (consistency_score * 0.3) ) * 10 Output: 0-10 scale, where >8.0 = high confidence recommendation ### Output Format 📍 [Location] [Cuisine Type] 餐厅推荐 1. [Restaurant Name] 🏆 推荐指数: X.X/10 ⭐ 大众点评: X.X (Xk评价) 💬 小红书: X.X⭐ (X笔记) 📍 地址: [Address] 💰 人均: ¥[Price] ✅ 一致性: [高/中/低] - [Brief explanation] 📊 平台对比: - 大众点评标签: [Tags] - 小红书热词: [Keywords] ⚠️ 注意: [Any discrepancies or warnings] [Continue for top 5-10 restaurants...] ### Thresholds Min rating: 4.0/5.0 (configurable) Min reviews: 50 on Dianping, 20 notes on Xiaohongshu (configurable) Max results: Top 10 restaurants by recommendation score High consistency: Score > 0.7 Medium consistency: Score 0.5-0.7 Low consistency: Score < 0.5 (flag for manual review) ### Dianping Method: Web scraping (Dianping API requires business partnership) Base URL: https://www.dianping.com Rate limiting: 1 request/2 seconds minimum Anti-scraping: Use residential proxies, rotate user agents See scripts/fetch_dianping.py for implementation. ### Xiaohongshu Method: Web scraping (no public API) Base URL: https://www.xiaohongshu.com Rate limiting: 1 request/3 seconds minimum Authentication: Cookies required for full access See scripts/fetch_xiaohongshu.py for implementation. ### Configuration Edit scripts/config.py to set: DEFAULT_THRESHOLDS = { "min_rating": 4.0, "min_dianping_reviews": 50, "min_xhs_notes": 20, "max_results": 10 } PROXY_CONFIG = { "use_proxy": True, "proxy_list": ["http://proxy1:port", "http://proxy2:port"] } ### Error Handling No matches found: Suggest broader search terms or nearby areas Platform timeout: Retry with exponential backoff, max 3 attempts Rate limiting detected: Pause for 60 seconds, rotate proxy Low confidence results: Flag results with consistency < 0.5 for manual review ### Sentiment Analysis Xiaohongshu posts use NLP to extract: Food quality mentions Service quality mentions Atmosphere mentions Price/value mentions See references/sentiment_analysis.md for methodology. ### Fuzzy Matching Handle restaurant name variations: Chain stores (e.g., "海底捞火锅" vs "海底捞静安店") Abbreviations (e.g., "鼎泰丰" vs "鼎泰丰上海店") Translation differences Uses thefuzz library for similarity scoring. ### Dependencies pip install requests beautifulsoup4 pandas numpy thefuzz selenium lxml See scripts/requirements.txt for complete list. ### Troubleshooting Issue: Xiaohongshu returns empty results Solution: Check if cookies expired, re-authenticate Issue: Dianping blocks requests Solution: Reduce request rate, rotate proxies Issue: Poor matching between platforms Solution: Adjust similarity threshold in match_restaurants.py ### References Data schema documentation Sentiment analysis guide API limitations ## Trust - Source: tencent - Verification: Indexed source record - Publisher: zhongrenfei1-hub - Version: 1.1.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-04-29T04:38:52.668Z - Expires at: 2026-05-06T04:38:52.668Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/clean-skill) - [Send to Agent page](https://openagent3.xyz/skills/clean-skill/agent) - [JSON manifest](https://openagent3.xyz/skills/clean-skill/agent.json) - [Markdown brief](https://openagent3.xyz/skills/clean-skill/agent.md) - [Download page](https://openagent3.xyz/downloads/clean-skill)