Xpersona

Crawler Summary

ResearchCrew_App answer-first brief

Streamlit app based on CrewAI to automate researching, coding, and reviewing feature extraction techniques for Scikit-learn transformers <div align="center"> **ResearchCrew** πŸ€–πŸ§  **ResearchCrew**: Streamlit-based application using CrewAI to automates the process of researching, coding, and reviewing feature extraction techniques for a specified topic, especially for use in Scikit-learn transformers. </div> πŸš€ Features - Research Agent: Identifies both classic and innovative feature extraction methods directly implementable in Scikit-learn. - Coding A Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

ResearchCrew_App 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

ResearchCrew_App

Streamlit app based on CrewAI to automate researching, coding, and reviewing feature extraction techniques for Scikit-learn transformers <div align="center"> **ResearchCrew** πŸ€–πŸ§  **ResearchCrew**: Streamlit-based application using CrewAI to automates the process of researching, coding, and reviewing feature extraction techniques for a specified topic, especially for use in Scikit-learn transformers. </div> πŸš€ Features - Research Agent: Identifies both classic and innovative feature extraction methods directly implementable in Scikit-learn. - Coding A

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Paulhb7

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Unpublished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. Last updated 10/9/2026.

View Source

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

Paulhb7

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

Protocol compatibility

OpenClaw

contractmedium
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

Docs Update

Docs refreshed: Sign in to GitHub Β· 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 REPOS

Extracted files

0

Examples

1

Snippets

0

Languages

python

Executable Examples

bash

streamlit run app.py

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Streamlit app based on CrewAI to automate researching, coding, and reviewing feature extraction techniques for Scikit-learn transformers <div align="center"> **ResearchCrew** πŸ€–πŸ§  **ResearchCrew**: Streamlit-based application using CrewAI to automates the process of researching, coding, and reviewing feature extraction techniques for a specified topic, especially for use in Scikit-learn transformers. </div> πŸš€ Features - Research Agent: Identifies both classic and innovative feature extraction methods directly implementable in Scikit-learn. - Coding A

Full README
<div align="center">

ResearchCrew

πŸ€–πŸ§  ResearchCrew: Streamlit-based application using CrewAI to automates the process of researching, coding, and reviewing feature extraction techniques for a specified topic, especially for use in Scikit-learn transformers.

</div>

πŸš€ Features

  • Research Agent: Identifies both classic and innovative feature extraction methods directly implementable in Scikit-learn.
  • Coding Agent: Implements custom Scikit-learn transformers based on the methods identified by the Research Agent.
  • Review Agent: Reviews the implementation, ensures code quality, and provides a clear synthesis of the techniques and code rationale.
  • Streamlit Interface: User-friendly interface for inputting topics and viewing results in real-time.

πŸ› οΈ Tech Stack

Streamlit: User interface CrewAI: Orchestrating agents to perform tasks collaboratively Python: Core language for implementation Scikit-learn: Library for feature extraction and machine learning LLM (Large Language Model): Powered by Ollama LLaMA 3.1

πŸ“¦ Installation

Prerequisites Ollama: The project uses Ollama LLaMA 3.1 as the LLM. You need to have Ollama installed and configured locally. After installing, make sure you have llama3.1:8b model downloaded.

Run the application:

streamlit run app.py

πŸ’‘ How It Works

  • User Input: You provide a topic (e.g., "Natural Language Processing") in the Streamlit interface.
  • Research Agent: It researches 3-5 classic and 3-5 innovative feature extraction techniques related to the topic that can be implemented in Scikit-learn transformers.
  • Coding Agent: Implements custom Scikit-learn transformers for each method proposed by the Research Agent.
  • Review Agent: Reviews the code, ensures its quality, and generates an executive summary of the feature extraction techniques and their relevance to the topic.

πŸ“‹ Example Usage

  1. Enter a topic such as Image Processing into the interface.
  2. Click the "Start Research Process" button.
  3. Wait while the agents conduct research, implement the transformers, and provide a review.
  4. View the research results, generated code, and summary directly in the Streamlit app.

πŸŽ“ License

This project is licensed under the MIT License. See the LICENSE file for more details.

🀝 Contributing

Feel free to open an issue or submit a pull request if you want to contribute to this project!

Contract & API

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

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

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-paulhb7-researchcrew-app/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-paulhb7-researchcrew-app/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-paulhb7-researchcrew-app/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.

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

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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-paulhb7-researchcrew-app/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-paulhb7-researchcrew-app/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-paulhb7-researchcrew-app/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-paulhb7-researchcrew-app/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-paulhb7-researchcrew-app/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-paulhb7-researchcrew-app/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T12:02:19.330Z"
    }
  },
  "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": "Paulhb7",
    "href": "https://github.com/Paulhb7/ResearchCrew_App",
    "sourceUrl": "https://github.com/Paulhb7/ResearchCrew_App",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T10:43:30.281Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-paulhb7-researchcrew-app/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-paulhb7-researchcrew-app/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T10:43:30.281Z",
    "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-paulhb7-researchcrew-app/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-paulhb7-researchcrew-app/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub Β· 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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