Crawler Summary

AgenticApp--Combat-Tips-for-any-Game answer-first brief

Agentic App using Streamlit and CrewAI to generate combat tips and advice for a chosen PC/PS game by searching the internet and YouTube. AgenticApp--Combat-Tips-for-any-Game Agentic App uses Streamlit and CrewAI to generate combat tips and advice for a chosen PC/PS game by searching the internet and YouTube. Motivation When starting a new game (always on the highest difficulty), I like to familiarize myself with the best tips and strategies, test them out, and decide which ones suit my playstyle. This approach creates a solid foundation upon which I c Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

AgenticApp--Combat-Tips-for-any-Game is best for crewai, multi-agent 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

Agent DossierGITHUB REPOSSafety: 66/100

AgenticApp--Combat-Tips-for-any-Game

Agentic App using Streamlit and CrewAI to generate combat tips and advice for a chosen PC/PS game by searching the internet and YouTube. AgenticApp--Combat-Tips-for-any-Game Agentic App uses Streamlit and CrewAI to generate combat tips and advice for a chosen PC/PS game by searching the internet and YouTube. Motivation When starting a new game (always on the highest difficulty), I like to familiarize myself with the best tips and strategies, test them out, and decide which ones suit my playstyle. This approach creates a solid foundation upon which I c

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.

1 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

V Ade R

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Unpublished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

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.

Setup snapshot

  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

V Ade R

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed Oct 9, 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

Artifacts Archive

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

Self-declaredGITHUB REPOS

Extracted files

0

Examples

0

Snippets

0

Languages

python

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Agentic App using Streamlit and CrewAI to generate combat tips and advice for a chosen PC/PS game by searching the internet and YouTube. AgenticApp--Combat-Tips-for-any-Game Agentic App uses Streamlit and CrewAI to generate combat tips and advice for a chosen PC/PS game by searching the internet and YouTube. Motivation When starting a new game (always on the highest difficulty), I like to familiarize myself with the best tips and strategies, test them out, and decide which ones suit my playstyle. This approach creates a solid foundation upon which I c

Full README

AgenticApp--Combat-Tips-for-any-Game

Agentic App uses Streamlit and CrewAI to generate combat tips and advice for a chosen PC/PS game by searching the internet and YouTube.

Motivation

When starting a new game (always on the highest difficulty), I like to familiarize myself with the best tips and strategies, test them out, and decide which ones suit my playstyle. This approach creates a solid foundation upon which I can develop my own highly efficient strategies.

However, the process of collecting information is very time-consuming. While GPT can provide decent advice for older games, it struggles with newer ones. YouTube, on the other hand, offers a wealth of knowledge often inaccessible to GPT. Hence the idea to create this simple app. Another motivation was to demonstrate a few capabilities of agentic builds using CrewAI. This app is relatively simple and doesn’t utilize advanced features like Flows, asynchronous tasks, or hierarchical execution (not needed here imo), but at least it is slightly original compared to typical agentic applications in sales, marketing, or writing.

How does it work?

Researcher Agent

The Researcher Agent uses two tools:

Semantic Internet Search: Powered by the Exa API, this tool retrieves text content from the most relevant web pages. YouTube Search: This tool retrieves video transcriptions (if available) from the most relevant YouTube videos. The Researcher Agent combines the results from both tools to create a summarized list of the best combat tips.

Reporting Analyst Agent

The Reporting Analyst Agent refines and organizes the Researcher’s findings into four categories in Markdown format:

  1. Best combat tactics
  2. Best attacks
  3. Best powers and spells
  4. Best combat abilities (these categories might be slightly redundant depending on the game)

Usage tips

  1. Get a Youtube API(for free)
  2. Get an Exa API(some number of searches is free - it will be enough for you really)
  3. Get an OpenAI API (paid). Alternatively you can use open source model e.g. using Ollama. Unfortunately smaller ones have often some functional and parsing problems. While simple agentic tasks can be handled by 7B Q4 quantized models, for high-quality responses, consider 70B quantized models.
  4. Set the variables YT_SEARCH_NUM_RESULTS and EXA_SEARCH_NUM_RESULTS. These are set to the absolute minimum by default to save on tokens and reduce task complexity for open-source models. Feel free to experiment with these settings.m.
  5. Agents and tasks are automatically loaded, but feel free to refine the roles, goals and backstories. They are for sure far from ideal.
  6. Run it in a browser using command in terminal: streamlit run app.py
  7. Enter the name of the game, press 'Run Analysis' and Voila, you are ready to annihilate your opponents!

Contract & API

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

MissingGITHUB REPOS

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-v-ade-r-agenticapp-combat-tips-for-any-game/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-v-ade-r-agenticapp-combat-tips-for-any-game/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-v-ade-r-agenticapp-combat-tips-for-any-game/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

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
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
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OPENCLAW
Machine Appendix

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://www.xpersona.co/api/v1/agents/crewai-v-ade-r-agenticapp-combat-tips-for-any-game/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-v-ade-r-agenticapp-combat-tips-for-any-game/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-v-ade-r-agenticapp-combat-tips-for-any-game/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-v-ade-r-agenticapp-combat-tips-for-any-game/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-v-ade-r-agenticapp-combat-tips-for-any-game/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-v-ade-r-agenticapp-combat-tips-for-any-game/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T21:34:24.283Z"
    }
  },
  "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": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "V Ade R",
    "href": "https://github.com/v-ade-r/AgenticApp--Combat-Tips-for-any-Game",
    "sourceUrl": "https://github.com/v-ade-r/AgenticApp--Combat-Tips-for-any-Game",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T09:45:30.330Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-v-ade-r-agenticapp-combat-tips-for-any-game/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-v-ade-r-agenticapp-combat-tips-for-any-game/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T09:45:30.330Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/v-ade-r/AgenticApp--Combat-Tips-for-any-Game",
    "sourceUrl": "https://github.com/v-ade-r/AgenticApp--Combat-Tips-for-any-Game",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T09:45:30.330Z",
    "isPublic": true
  },
  {
    "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": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-v-ade-r-agenticapp-combat-tips-for-any-game/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-v-ade-r-agenticapp-combat-tips-for-any-game/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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