Xpersona

Crawler Summary

google-ai-mode-skill answer-first brief

Use this skill when the user requests current information, documentation, coding examples, or web research beyond the knowledge cutoff. Queries Google's AI Search mode to retrieve comprehensive AI-generated overviews with source citations from 100+ websites. Returns markdown with inline footnoted references [1][2][3]. You will receive a detailed Markdown file with references and information summarized directly from Google's AI search. Ideal for you to get new information and clues for further research. --- name: google-ai-mode-skill description: Use this skill when the user requests current information, documentation, coding examples, or web research beyond the knowledge cutoff. Queries Google's AI Search mode to retrieve comprehensive AI-generated overviews with source citations from 100+ websites. Returns markdown with inline footnoted references [1][2][3]. You will receive a detailed Markdown file with reference Published capability contract available. No trust telemetry is available yet. 100 GitHub stars reported by the source. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

google-ai-mode-skill is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 98/100

google-ai-mode-skill

Use this skill when the user requests current information, documentation, coding examples, or web research beyond the knowledge cutoff. Queries Google's AI Search mode to retrieve comprehensive AI-generated overviews with source citations from 100+ websites. Returns markdown with inline footnoted references [1][2][3]. You will receive a detailed Markdown file with references and information summarized directly from Google's AI search. Ideal for you to get new information and clues for further research. --- name: google-ai-mode-skill description: Use this skill when the user requests current information, documentation, coding examples, or web research beyond the knowledge cutoff. Queries Google's AI Search mode to retrieve comprehensive AI-generated overviews with source citations from 100+ websites. Returns markdown with inline footnoted references [1][2][3]. You will receive a detailed Markdown file with reference

OpenClawself-declared

Public facts

7

Change events

1

Artifacts

0

Freshness

Feb 22, 2026

Verifiededitorial-contentNo verified compatibility signals100 GitHub stars

Published capability contract available. No trust telemetry is available yet. 100 GitHub stars reported by the source. Last updated 2/24/2026.

100 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 22, 2026

Vendor

Pleaseprompto

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. 100 GitHub stars reported by the source. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/PleasePrompto/google-ai-mode-skill.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    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.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Pleaseprompto

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance

Auth modes

api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Adoption (1)

Adoption signal

100 GitHub stars

profilemedium
Observed Feb 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

python scripts/run.py search.py --query "..." --debug

bash

python scripts/run.py search.py --query "..." --save

bash

python scripts/run.py search.py --query "..." --debug --save

bash

python scripts/run.py search.py --query "..." --show-browser

bash

python scripts/run.py search.py --query "..." --output result.md

bash

python scripts/run.py search.py --query "..." --output result.md --json

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Use this skill when the user requests current information, documentation, coding examples, or web research beyond the knowledge cutoff. Queries Google's AI Search mode to retrieve comprehensive AI-generated overviews with source citations from 100+ websites. Returns markdown with inline footnoted references [1][2][3]. You will receive a detailed Markdown file with references and information summarized directly from Google's AI search. Ideal for you to get new information and clues for further research. --- name: google-ai-mode-skill description: Use this skill when the user requests current information, documentation, coding examples, or web research beyond the knowledge cutoff. Queries Google's AI Search mode to retrieve comprehensive AI-generated overviews with source citations from 100+ websites. Returns markdown with inline footnoted references [1][2][3]. You will receive a detailed Markdown file with reference

Full README

name: google-ai-mode-skill description: Use this skill when the user requests current information, documentation, coding examples, or web research beyond the knowledge cutoff. Queries Google's AI Search mode to retrieve comprehensive AI-generated overviews with source citations from 100+ websites. Returns markdown with inline footnoted references [1][2][3]. You will receive a detailed Markdown file with references and information summarized directly from Google's AI search. Ideal for you to get new information and clues for further research.

Google AI Mode Skill

Query Google's AI Search mode to retrieve comprehensive, source-grounded answers from across the web.

When to Use This Skill

Trigger this skill when the user:

  • Requests current information beyond the knowledge cutoff (post-January 2025)
  • Needs documentation or API references for libraries and frameworks
  • Asks for coding examples or implementation patterns
  • Wants technical comparisons or best practices
  • Requires research with citations and sources
  • Mentions "Google AI search", "Google AI mode", or "web research"

CLI Flags

Essential Flags

--debug - Enable comprehensive logging

python scripts/run.py search.py --query "..." --debug
  • Saves detailed logs to logs/search_YYYY-MM-DD_HH-MM-SS.log
  • Logs every step: browser launch, CAPTCHA detection, AI content waiting, citation extraction
  • Essential for troubleshooting CAPTCHA issues or failed searches
  • Log file path printed at completion

--save - Save results to skill folder

python scripts/run.py search.py --query "..." --save
  • Saves markdown to results/YYYY-MM-DD_HH-MM-SS_Query_Name.md
  • Timestamped filename for organized storage
  • Results preserved in skill directory for future reference
  • Use instead of --output for automatic naming

Combined usage (recommended for debugging):

python scripts/run.py search.py --query "..." --debug --save

Other Flags

--show-browser - Show browser window (for CAPTCHA solving)

python scripts/run.py search.py --query "..." --show-browser

--output <path> - Custom output file path

python scripts/run.py search.py --query "..." --output result.md

--json - Include JSON metadata in output

python scripts/run.py search.py --query "..." --output result.md --json

Query Optimization Strategy

CRITICAL: Always optimize user queries before execution. Google AI Mode's quality depends on query precision.

Optimization Template

[Technology/Topic] [Version] [Year] ([Specific Aspect 1], [Aspect 2], [Aspect 3]). [Output format request].

Optimization Rules

  1. Include Current Year (2026) for up-to-date results
  2. Use parentheses to list specific aspects needed
  3. Request structured output (tables, comparisons, categorized lists)
  4. Include version numbers for library/framework queries

Examples

| User Query | Optimized Query | |-----------|----------------| | "React hooks" | "React hooks best practices 2026 (useState, useEffect, custom hooks, common pitfalls). Provide code examples." | | "What's new in Rust?" | "Rust 1.75 new features 2026 (async traits, impl Trait improvements, const generics, stabilized APIs). Include migration guide and code examples." | | "PostgreSQL vs MySQL performance?" | "PostgreSQL vs MySQL performance comparison 2026 (query optimization, indexing strategies, concurrent writes, JSON handling, scaling patterns). Provide benchmark data and use case recommendations." | | "How to handle errors in Go?" | "Go error handling patterns 2026 (error wrapping, custom errors, sentinel errors, panic vs error, testing error cases). Provide code examples and best practices comparison." | | "Learn FastAPI basics" | "FastAPI tutorial 2026 (routing, dependency injection, async endpoints, request validation with Pydantic, OpenAPI documentation, testing). Include step-by-step implementation guide." |

Note: If user provides an already detailed query with version numbers and requirements, use it as-is.

Workflow

  1. Receive user request
  2. Optimize query using template above
  3. Inform user: "Searching for: '[optimized query]'"
  4. Execute search with --save --debug flags
  5. Return results with inline citations [1][2][3]

Script Execution

CRITICAL: Always use the run.py wrapper. Direct script execution will fail.

Basic Search

python scripts/run.py search.py --query "Your search query"

Recommended Usage

python scripts/run.py search.py --query "..." --save --debug

The run.py wrapper automatically:

  • Creates .venv on first run
  • Installs dependencies (patchright, beautifulsoup4, html-to-markdown)
  • Activates virtual environment
  • Executes search script
  • Installs Google Chrome (not Chromium) for anti-detection

How It Works

  1. Persistent Browser Context: Uses saved browser profile at ~/.cache/google-ai-mode-skill/chrome_profile to preserve cookies/session between searches
  2. Eliminates CAPTCHAs: Persistent context means Google recognizes the browser → rarely triggers CAPTCHA
  3. AI Content Detection: Waits for Google AI Overview to appear on page
  4. Citation Extraction: Injects JavaScript to extract source links from AI response
  5. Markdown Conversion: Converts HTML to markdown with inline citations [1][2][3]
  6. Fast Results: Typical search completes in 5-7 seconds (no CAPTCHA)

CAPTCHA Handling

With persistent context, CAPTCHAs are rare. If encountered:

  1. Detection: Multi-layer check (URL /sorry/index, page text, content length)
  2. Automatic Handling: If CAPTCHA detected in headless mode → script returns CAPTCHA_REQUIRED error
  3. Manual Solution: Re-run with --show-browser flag, solve CAPTCHA in browser, script continues automatically

Note: After CAPTCHA is solved once, persistent context preserves the session → future searches won't require CAPTCHA.

Output Format

Returns markdown with inline citations and source list. Example:

React 18 introduces concurrent features including Suspense for data fetching[1],
automatic batching for state updates[2], and transitions for non-urgent updates[3].

---

## Sources:

[1] React 18 Release Notes
https://react.dev/blog/2022/03/29/react-v18

[2] Automatic Batching Explained
https://github.com/reactwg/react-18/discussions/21

[3] Transitions API Documentation
https://react.dev/reference/react/useTransition

Common Use Cases

Finding Library Documentation

python scripts/run.py search.py --query "Prisma ORM 2026 (schema definition, migrations, client API, relation queries, transactions). Include TypeScript examples." --save --debug

Getting Coding Examples

python scripts/run.py search.py --query "WebSocket implementation Node.js 2026 (server setup, client connection, message handling, authentication, reconnection logic). Production-ready code examples." --save

Technical Comparisons

python scripts/run.py search.py --query "GraphQL vs REST API 2026 (performance, caching, tooling, type safety, learning curve). Comparison table with use case recommendations." --save

Best Practices Research

python scripts/run.py search.py --query "Microservices security patterns 2026 (API gateway authentication, service mesh, mutual TLS, secret management, observability). Architecture diagrams and implementation guide." --save --debug

Troubleshooting

| Issue | Solution | |-------|----------| | ModuleNotFoundError | Use run.py wrapper, never execute scripts directly | | CAPTCHA every time | First-time setup: solve CAPTCHA once with --show-browser, then persistent context preserves session | | No AI overview found | Rephrase query with more specificity using optimization template | | Browser fails to start | Verify internet connection and Chrome installation | | Need detailed logs | Use --debug flag - log saved to logs/ folder | | AI Mode not available | Your region/country doesn't support Google AI Mode. Use a proxy/VPN to access from supported regions (US, UK, Germany, etc.) |

Exit Codes:

  • 0 - Success
  • 1 - General error
  • 2 - CAPTCHA required (retry with --show-browser)
  • 3 - Browser closed by user
  • 4 - AI Mode not available in region (use proxy/VPN)
  • 130 - User interrupted (Ctrl+C)

Best Practices

  1. Always optimize queries - Specificity determines result quality
  2. Use --save --debug for important searches - Preserves results and provides audit trail
  3. Include version numbers for library/framework queries
  4. Request structured output - Tables and comparisons improve usability
  5. Solve CAPTCHA once - Persistent context eliminates future CAPTCHAs
  6. Verify citations - Check provided sources for accuracy

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

ready

Auth

api_key

Streaming

No

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

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

OPENCLAW
GITHUB_REPOScherry-studio

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 6d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

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

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/PleasePrompto/google-ai-mode-skill#input",
  "outputSchemaRef": "https://github.com/PleasePrompto/google-ai-mode-skill#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:43:58.805Z",
  "sourceUpdatedAt": "2026-02-24T19:43:58.805Z",
  "freshnessSeconds": 4430614
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T02:27:33.282Z"
    }
  },
  "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"
    },
    {
      "key": "google",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:google|supported|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": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:58.805Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:43:58.805Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/PleasePrompto/google-ai-mode-skill#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:43:58.805Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Pleaseprompto",
    "href": "https://github.com/PleasePrompto/google-ai-mode-skill",
    "sourceUrl": "https://github.com/PleasePrompto/google-ai-mode-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "100 GitHub stars",
    "href": "https://github.com/PleasePrompto/google-ai-mode-skill",
    "sourceUrl": "https://github.com/PleasePrompto/google-ai-mode-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/pleaseprompto-google-ai-mode-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
  }
]

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