Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
browser-use Skill for Claude Code browser-use Skill for Claude Code A wrapper around the official $1 library that enables Claude Code to perform browser automation tasks through two modes: Direct Mode (Claude controls browser directly) and Subagent Mode (autonomous agent execution). Features - **Direct Mode**: Claude directly controls browser via Actor API (no external LLM API key required!) - **Subagent Mode**: Delegate complex browser tasks to auto Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/25/2026.
Freshness
Last checked 2/25/2026
Best For
browser-use-skill is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB REPOS, runtime-metrics, public facts pack
browser-use Skill for Claude Code browser-use Skill for Claude Code A wrapper around the official $1 library that enables Claude Code to perform browser automation tasks through two modes: Direct Mode (Claude controls browser directly) and Subagent Mode (autonomous agent execution). Features - **Direct Mode**: Claude directly controls browser via Actor API (no external LLM API key required!) - **Subagent Mode**: Delegate complex browser tasks to auto
Public facts
5
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Dalbit Mir
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/25/2026.
Setup snapshot
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Dalbit Mir
Protocol compatibility
OpenClaw
Adoption signal
2 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
bash
pip install browser-use playwright install chromium
bash
cp -r browser-use-skill ~/.claude/skills/browser-use
bash
cd ~/.claude/skills/browser-use python server.py start &
bash
cd ~/.claude/skills/browser-use
# Start server
python server.py start &
sleep 2
# Navigate to page
python server.py call '{"tool": "navigate", "args": {"url": "https://google.com"}}'
# Get page state with screenshot
python server.py call '{"tool": "get_state", "args": {"include_screenshot": true}}'
# Returns: elements list + screenshot_path (read with Vision!)
# Click element by index (from get_state)
python server.py call '{"tool": "click", "args": {"index": 0}}'
# Type text
python server.py call '{"tool": "type", "args": {"index": 0, "text": "search query"}}'
# Press Enter
python server.py call '{"tool": "press_key", "args": {"key": "Enter"}}'
# Take screenshot
python server.py call '{"tool": "screenshot", "args": {"path": "result.png"}}'text
Use Task tool with subagent_type: "general-purpose" Prompt template: "Browser automation task using browser-use skill (Direct Mode). Goal: [your task] Server already running on port 9223. Workflow: get_state -> analyze screenshot -> click/type -> repeat until done"
bash
python server.py start # Start server (use & for background)
python server.py stop # Stop server
python server.py status # Check status
python server.py call '{"tool": "...", "args": {...}}'Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
browser-use Skill for Claude Code browser-use Skill for Claude Code A wrapper around the official $1 library that enables Claude Code to perform browser automation tasks through two modes: Direct Mode (Claude controls browser directly) and Subagent Mode (autonomous agent execution). Features - **Direct Mode**: Claude directly controls browser via Actor API (no external LLM API key required!) - **Subagent Mode**: Delegate complex browser tasks to auto
A wrapper around the official browser-use library that enables Claude Code to perform browser automation tasks through two modes: Direct Mode (Claude controls browser directly) and Subagent Mode (autonomous agent execution).
AI Automation Requests:
Development Testing:
pip install browser-use
playwright install chromium
cp -r browser-use-skill ~/.claude/skills/browser-use
cd ~/.claude/skills/browser-use
python server.py start &
Claude directly controls the browser step by step:
cd ~/.claude/skills/browser-use
# Start server
python server.py start &
sleep 2
# Navigate to page
python server.py call '{"tool": "navigate", "args": {"url": "https://google.com"}}'
# Get page state with screenshot
python server.py call '{"tool": "get_state", "args": {"include_screenshot": true}}'
# Returns: elements list + screenshot_path (read with Vision!)
# Click element by index (from get_state)
python server.py call '{"tool": "click", "args": {"index": 0}}'
# Type text
python server.py call '{"tool": "type", "args": {"index": 0, "text": "search query"}}'
# Press Enter
python server.py call '{"tool": "press_key", "args": {"key": "Enter"}}'
# Take screenshot
python server.py call '{"tool": "screenshot", "args": {"path": "result.png"}}'
Delegate browser tasks to Claude Code subagents:
Use Task tool with subagent_type: "general-purpose"
Prompt template:
"Browser automation task using browser-use skill (Direct Mode).
Goal: [your task]
Server already running on port 9223.
Workflow: get_state -> analyze screenshot -> click/type -> repeat until done"
python server.py start # Start server (use & for background)
python server.py stop # Stop server
python server.py status # Check status
python server.py call '{"tool": "...", "args": {...}}'
| Tool | Description | Args | |------|-------------|------| | navigate | Go to URL | url, new_tab | | go_back | Navigate back | - | | go_forward | Navigate forward | - | | reload | Refresh page | - | | get_state | Get page state + elements | include_screenshot | | screenshot | Save screenshot | path, format, quality | | evaluate | Run JavaScript | script, args | | press_key | Keyboard input | key |
| Tool | Description | Args | |------|-------------|------| | find_elements | Find by CSS selector | selector | | click | Click element | index | | type | Type into input | index, text, clear | | hover | Mouse hover | index | | check | Toggle checkbox | index | | select_option | Select dropdown | index, value | | drag_to | Drag and drop | source_index, target_index |
| Tool | Description | Args | |------|-------------|------| | mouse_click | Click at coordinates | x, y, button, click_count | | mouse_move | Move mouse | x, y | | mouse_drag | Drag from A to B | start_x, start_y, end_x, end_y | | scroll | Scroll page | direction, amount, x, y |
| Tool | Description | Args | |------|-------------|------| | list_tabs | List open tabs | - | | switch_tab | Switch to tab | tab_id (index) | | close_tab | Close tab | tab_id (index) | | close | Close browser | - |
| Tool | Description | Args | |------|-------------|------| | run_agent | AI agent execution | task, max_steps, use_vision, flash_mode | | run_code_agent | Python code agent | task, max_steps, use_vision |
cd ~/.claude/skills/browser-use
python server.py start &
sleep 2
# Open Google
python server.py call '{"tool": "navigate", "args": {"url": "https://google.com"}}'
# Get elements
python server.py call '{"tool": "get_state", "args": {"include_screenshot": true}}'
# Type search query (index 0 is usually search box)
python server.py call '{"tool": "type", "args": {"index": 0, "text": "Claude AI"}}'
# Press Enter
python server.py call '{"tool": "press_key", "args": {"key": "Enter"}}'
# Screenshot results
python server.py call '{"tool": "screenshot", "args": {"path": "google_results.png"}}'
# Navigate to form
python server.py call '{"tool": "navigate", "args": {"url": "https://example.com/form"}}'
# Get form elements
python server.py call '{"tool": "get_state", "args": {"include_screenshot": true}}'
# Fill fields (use indices from get_state)
python server.py call '{"tool": "type", "args": {"index": 0, "text": "John Doe"}}'
python server.py call '{"tool": "type", "args": {"index": 1, "text": "john@example.com"}}'
# Submit
python server.py call '{"tool": "click", "args": {"index": 5}}'
# Get screenshot first
python server.py call '{"tool": "get_state", "args": {"include_screenshot": true}}'
# Analyze screenshot with Vision, then click at coordinates
python server.py call '{"tool": "mouse_click", "args": {"x": 500, "y": 300}}'
# Tab through elements
python server.py call '{"tool": "press_key", "args": {"key": "Tab"}}'
python server.py call '{"tool": "press_key", "args": {"key": "Tab"}}'
python server.py call '{"tool": "press_key", "args": {"key": "Enter"}}'
# Keyboard shortcuts
python server.py call '{"tool": "press_key", "args": {"key": "Control+a"}}' # Select all
python server.py call '{"tool": "press_key", "args": {"key": "Control+c"}}' # Copy
python server.py start &
sleep 2
python server.py status
get_state with include_screenshot: truepress_key("Tab") then press_key("Enter")mouse_click(x, y)This is normal for complex pages. The element cache still works - use the index to click/type.
Server runs headless by default in background. Browser window appears but may be behind other windows.
Always use server.py (server mode). Each server.py call maintains the same session.
Without server mode, each Python call would:
With server mode:
Direct Mode:
Subagent Mode:
MIT
Freedom without surveillance, protection for everyone.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/dalbit-mir-browser-use-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/dalbit-mir-browser-use-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/dalbit-mir-browser-use-skill/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 5d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/dalbit-mir-browser-use-skill/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/dalbit-mir-browser-use-skill/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/dalbit-mir-browser-use-skill/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/dalbit-mir-browser-use-skill/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/dalbit-mir-browser-use-skill/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/dalbit-mir-browser-use-skill/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-04-17T01:46:48.043Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Dalbit Mir",
"href": "https://github.com/dalbit-mir/browser-use-skill",
"sourceUrl": "https://github.com/dalbit-mir/browser-use-skill",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T04:22:53.746Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/dalbit-mir-browser-use-skill/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/dalbit-mir-browser-use-skill/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-25T04:22:53.746Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "2 GitHub stars",
"href": "https://github.com/dalbit-mir/browser-use-skill",
"sourceUrl": "https://github.com/dalbit-mir/browser-use-skill",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T04:22:53.746Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/dalbit-mir-browser-use-skill/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/dalbit-mir-browser-use-skill/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to browser-use-skill and adjacent AI workflows.