Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
Clawver Reviews
Handle Clawver customer reviews. Monitor ratings, craft responses, track sentiment trends. Use when asked about customer feedback, reviews, ratings, or reputation management.
skill openclawclawhub Free
Handle Clawver customer reviews. Monitor ratings, craft responses, track sentiment trends. Use when asked about customer feedback, reviews, ratings, or reputation management.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/api-examples.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
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
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- nwang783
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Clawver Reviews
Manage customer reviews on your Clawver store. Monitor ratings, respond to feedback, and maintain your store's reputation.
Prerequisites
CLAW_API_KEY environment variable Active store with completed orders For platform-specific good and bad API patterns from claw-social, use references/api-examples.md.
Get All Reviews
curl https://api.clawver.store/v1/stores/me/reviews \ -H "Authorization: Bearer $CLAW_API_KEY" Response: { "success": true, "data": { "reviews": [ { "id": "review_abc123", "orderId": "order_xyz789", "productId": "prod_456", "rating": 5, "title": "Amazing quality!", "body": "The wallpapers are stunning.", "reviewerName": "John D.", "reviewerEmail": "john@example.com", "createdAt": "2024-01-15T10:30:00Z", "updatedAt": "2024-01-15T10:30:00Z" }, { "id": "review_def456", "orderId": "order_abc123", "productId": "prod_789", "rating": 3, "body": "Good quality but shipping took longer than expected.", "reviewerName": "Jane S.", "reviewerEmail": "jane@example.com", "createdAt": "2024-01-14T08:15:00Z", "updatedAt": "2024-01-14T09:00:00Z", "response": { "body": "Thank you for your feedback! We're working with our shipping partner to improve delivery times.", "createdAt": "2024-01-14T09:00:00Z" } } ] }, "pagination": { "cursor": "next_page_id", "hasMore": false, "limit": 20 } }
Pagination
curl "https://api.clawver.store/v1/stores/me/reviews?limit=20&cursor=abc123" \ -H "Authorization: Bearer $CLAW_API_KEY"
Filter Unanswered Reviews
response = api.get("/v1/stores/me/reviews") reviews = response["data"]["reviews"] unanswered = [r for r in reviews if not r.get("response")] print(f"Unanswered reviews: {len(unanswered)}")
Respond to Reviews
curl -X POST https://api.clawver.store/v1/reviews/{reviewId}/respond \ -H "Authorization: Bearer $CLAW_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "body": "Thank you for your kind review! We appreciate your support." }' Response: { "success": true, "data": { "review": { "id": "review_abc123", "response": { "body": "Thank you for your kind review! We appreciate your support.", "createdAt": "2024-01-15T11:00:00Z" } } } } Response requirements: Maximum 1000 characters Posting again replaces the existing response for that review Professional tone recommended
Review Webhook
Get notified when new reviews are posted: curl -X POST https://api.clawver.store/v1/webhooks \ -H "Authorization: Bearer $CLAW_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "url": "https://your-server.com/webhook", "events": ["review.received"], "secret": "your-secret-min-16-chars" }' Webhook payload: { "event": "review.received", "timestamp": "2024-01-15T10:30:00Z", "data": { "reviewId": "review_abc123", "orderId": "order_xyz789", "rating": 5 } } Signature format: X-Claw-Signature: sha256=abc123... Verification (Node.js): const crypto = require('crypto'); function verifyWebhook(body, signature, secret) { const expected = 'sha256=' + crypto .createHmac('sha256', secret) .update(body) .digest('hex'); return crypto.timingSafeEqual( Buffer.from(signature), Buffer.from(expected) ); }
Positive Reviews (4-5 stars)
Generic thank you: Thank you for your wonderful review! We're thrilled you love the product. Your support means everything to us! For repeat customers: Thank you for another great review! We truly appreciate your continued support. For detailed reviews: Thank you for taking the time to write such a thoughtful review! Feedback like yours helps other customers and motivates us to keep creating.
Neutral Reviews (3 stars)
Acknowledge and improve: Thank you for your honest feedback! We're always looking to improve. If there's anything specific we can do better, please reach outโwe'd love to hear from you.
Negative Reviews (1-2 stars)
Apologize and offer solution: We're sorry to hear about your experience. This isn't the standard we aim for. Please contact us at [email] so we can make this right. For shipping issues (POD): We apologize for the shipping delay. We're working with our fulfillment partner to improve delivery times. Thank you for your patience and feedback. For product issues: We're sorry the product didn't meet your expectations. We'd like to understand more about what went wrong. Please reach out to us so we can resolve this for you.
Overall Rating from Store Analytics
curl https://api.clawver.store/v1/stores/me/analytics \ -H "Authorization: Bearer $CLAW_API_KEY" Top products in the response include averageRating and reviewsCount.
Rating Distribution
response = api.get("/v1/stores/me/reviews") reviews = response["data"]["reviews"] distribution = {1: 0, 2: 0, 3: 0, 4: 0, 5: 0} for review in reviews: distribution[review["rating"]] += 1 total = len(reviews) for rating, count in distribution.items(): pct = (count / total * 100) if total > 0 else 0 print(f"{rating} stars: {count} ({pct:.1f}%)")
Daily Review Check
def check_and_respond_to_reviews(): response = api.get("/v1/stores/me/reviews") reviews = response["data"]["reviews"] for review in reviews: # Skip if already responded if review.get("response"): continue # Auto-respond based on rating if review["rating"] >= 4: response_text = "Thank you for your wonderful review! We're thrilled you love the product." elif review["rating"] == 3: response_text = "Thank you for your feedback! We're always looking to improve." else: # Flag for manual review print(f"Negative review needs attention: {review['id']}") continue api.post(f"/v1/reviews/{review['id']}/respond", { "body": response_text }) print(f"Responded to review {review['id']}")
Sentiment Monitoring
def check_sentiment_trend(): response = api.get("/v1/stores/me/reviews") reviews = response["data"]["reviews"] # Get last 10 reviews (already sorted by date) recent = reviews[:10] if not recent: return avg_rating = sum(r["rating"] for r in recent) / len(recent) negative_count = sum(1 for r in recent if r["rating"] <= 2) if avg_rating < 3.5: print("Warning: Recent review sentiment is declining") if negative_count >= 3: print("Warning: Multiple negative reviews in recent batch")
Best Practices
Respond quickly - Aim to respond within 24 hours Be professional - Avoid defensive or argumentative responses Take it offline - For complex issues, invite customers to email Thank everyone - Even negative reviewers deserve acknowledgment Learn from feedback - Use recurring themes to improve products Don't incentivize - Never offer discounts for positive reviews
Impact on Store
Reviews display on product pages Average rating shows on store profile Higher ratings improve marketplace visibility Responding to reviews builds trust with future buyers
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- references/api-examples.md