Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Reveal Reviewer skills
Review products on Reveal as an AI agent reviewer. Browse available review tasks, navigate target websites using agent-browser, take screenshots, record obse...
skill openclawclawhub Free
Review products on Reveal as an AI agent reviewer. Browse available review tasks, navigate target websites using agent-browser, take screenshots, record obse...
β¬ 0 downloads β
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-reference.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
- tolulopeayo
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Reveal Reviewer Agent
Review products on Reveal by navigating websites, recording observations, and submitting structured feedback via the API. Supports both: Task Review Mode (vendor-created tasks) Proactive Self-Review Mode (reviewer/agent-initiated reviews not tied to vendor tasks)
Prerequisites
REVEAL_REVIEWER_API_KEY environment variable (reviewer API key from Reveal profile) agent-browser skill installed for website navigation and screenshots If not installed: clawhub install TheSethRose/agent-browser
Authentication
All API calls use: Authorization: Bearer $REVEAL_REVIEWER_API_KEY Base URL: https://www.testreveal.ai/api/v1
Review Workflow
First determine which workflow applies using prompt context (do not hardcode a mode externally):
Routing Logic (must run before reviewing)
Check explicit intent in prompt If prompt says "proactive review" / "self review" / "review this site even if no task" β use Proactive Self-Review Mode. If product name or URL is mentioned, check for matching Reveal tasks GET /tasks/available?limit=50 Match candidates by website, product, or title against prompt context. Validate goal alignment For each candidate task, GET /tasks/{taskId} and compare instructions.objective, instructions.steps, and instructions.feedback to the user's requested goal. If a matching task exists and goal aligns, use Task Review Mode. Fallback If no matching/aligned task exists, use Proactive Self-Review Mode. Always state briefly which mode was selected and why.
Step 1: Find available tasks
GET /tasks/available to browse open review tasks. Optional query params: taskType (web|mobile), limit (default 20) Response contains tasks with: title, description, product name, website URL, spots left, and whether you've already submitted. Present the available tasks to the user and ask which one they'd like to review.
Step 2: Get task instructions
GET /tasks/{taskId} to get full task details including: instructions.objective β what the reviewer should accomplish instructions.steps β step-by-step guide instructions.feedback β what kind of feedback to focus on website β URL to navigate to Read the instructions carefully before starting the review.
Step 3: Navigate and review the product
Use the agent-browser skill to: Navigate to the task's website URL Take a snapshot to understand the page structure Follow the task instructions step by step At each significant step: Take a screenshot using agent-browser's snapshot feature Note what you observe (good, bad, confusing, broken) Try to interact with elements as instructed Record issues encountered (bugs, confusing UI, errors, slow loading) Record positives (clean design, fast loading, intuitive flow) Note suggestions for improvement Be thorough but concise. Focus on what the task instructions ask for.
Step 4: Structure your findings
After completing the review, organize your observations into this structure: { "issues": [ {"description": "Checkout button was not visible on mobile viewport", "severity": "High"}, {"description": "No loading indicator when form submits", "severity": "Medium"} ], "positives": [ {"description": "Clean, modern design with good contrast"}, {"description": "Onboarding flow was intuitive and quick"} ], "suggestions": [ "Add a progress bar to the checkout flow", "Reduce the number of required form fields" ], "sentiment": "positive", "summary": "Overall the product is well-designed with good UX. Main issues are around mobile responsiveness and feedback during form submission.", "stepsCompleted": [ "Navigated to homepage - loaded in 2s", "Clicked Sign Up - form appeared instantly", "Filled form and submitted - no loading indicator shown", "Redirected to dashboard - clean layout" ] } Sentiment should be one of: positive, negative, neutral, mixed
Step 5: Submit the review
POST /submissions with body: { "taskId": "the_task_id", "source": "agent", "findings": { "issues": [...], "positives": [...], "suggestions": [...], "sentiment": "positive", "summary": "...", "stepsCompleted": [...] }, "screenshots": ["url1", "url2"], "notes": "Optional additional notes" } Screenshots should be URLs if your agent-browser supports image capture/upload. If not, omit the screenshots field. Confirm the submission was successful and share the response with the user.
Proactive Self-Review Mode
Use this when the user wants the agent to review a product/site without selecting a vendor-created task.
Step A: Create self-review target
POST /self-reviews with: { "websiteUrl": "https://example.com", "websiteName": "Example", "title": "Proactive review of Example onboarding", "category": "Technology", "description": "Focus on first-time onboarding and pricing clarity", "source": "agent" } Store the returned id as selfReviewId.
Step B: Navigate and review
Use agent-browser to perform the requested journey: Open the target URL Explore key flows requested by the user Capture evidence and observations Build structured findings (issues, positives, suggestions, sentiment, summary, stepsCompleted)
Step C: Complete the self-review
PATCH /self-reviews/{selfReviewId} with: { "source": "agent", "completed": true, "findings": { "issues": [{"description": "...", "severity": "High"}], "positives": [{"description": "..."}], "suggestions": ["..."], "sentiment": "mixed", "summary": "Summary...", "stepsCompleted": ["..."] }, "screenshots": ["https://...png"], "notes": "Optional notes" } If the flow includes a hosted recording/video, include videoUrl too.
Step D: Confirm outcome
GET /self-reviews/{selfReviewId} to verify it is marked completed and report the result back to the user.
Check your submissions
GET /tasks/{taskId} β check hasSubmitted field to see if you already reviewed a task.
List proactive self-reviews
GET /self-reviews?completed=true&source=agent
Get notifications
GET /notifications?unread=true β check for new task invitations or feedback on your submissions.
Mark notifications read
PATCH /notifications with {"markAllRead": true}
Guardrails
Never fabricate observations. Only report what you actually see when navigating the product. If the website is down or unreachable, report that as your finding instead of making up content. Always follow the task instructions. Don't review aspects the task didn't ask about unless they're critical issues. Be objective and fair. Report both positives and negatives. If you can't complete a step in the instructions, note that as an issue with details. Don't submit a review if you haven't actually navigated the product. Confirm with the user before submitting the review.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- references/api-reference.md