How should AutoDataLab be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

AutoDataLab answer-first brief

An automated data science pipeline using CrewAI and Docker to clean, analyze, and visualize CSV data with specialized AI agents CSV AI Analyzer: Multi-Agent Data Science Workflow An automated data analysis pipeline powered by **CrewAI** that cleans data, generates insights, and creates visualizations using a secure Docker-based execution environment. How it Works 1. **Exploratory Data Analysis (EDA)**: The script performs an initial analysis of your DataFrame. 2. **Multi-Agent Collaboration**: * **Data Analyzer**: Identifies patterns and issu Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

AutoDataLab 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

Card Facts Snapshot Contract Trust

Agent DossierGITHUB REPOSSafety: 66/100

AutoDataLab

OpenClawself-declared

Public facts

Change events

Artifacts

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

Aathisankar7

Artifacts

Benchmarks

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Unpublished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

Aathisankar7

profilemedium

Observed Oct 9, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Oct 9, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

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 REPOS

Extracted files

Examples

Snippets

Languages

python

Executable Examples

bash

git clone <your-repo-url>
   cd csv_ai_analyzer

bash

docker build -t ai-executor .

bash

pip install -r requirements.txt

bash

python main.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

Full README

CSV AI Analyzer: Multi-Agent Data Science Workflow

An automated data analysis pipeline powered by CrewAI that cleans data, generates insights, and creates visualizations using a secure Docker-based execution environment.

How it Works

Exploratory Data Analysis (EDA): The script performs an initial analysis of your DataFrame.
Multi-Agent Collaboration:
- Data Analyzer: Identifies patterns and issues in the data.
- Cleaning Agent: Generates Python code to handle missing values and inconsistencies.
- Visualization Agent: Generates code for professional charts and graphs.
- Insight Agent: Interprets the results and provides business value.
Secure Execution: The generated code is executed inside a Docker container to ensure safety and isolation.
Outputs: Produces a cleaned dataset (data.csv) and visual charts (output.png).

Features

CrewAI Integration: Orchestrates specialized agents for a complete data science workflow.
Dockerized Runner: Safely executes AI-generated code.
Automatic Code Generation: Saves generated logic into generated_code.py and viz_code.py.

Prerequisites

Python 3.11+
Docker: Installed and running.
API Keys: Requires access to an LLM (e.g., OpenAI or Groq) configured in your environment.

Setup

Clone the repository:

git clone <your-repo-url>
cd csv_ai_analyzer

Build the Docker Executor:
```
docker build -t ai-executor .
```
Install dependencies:
```
pip install -r requirements.txt
```
Run the Analyzer:
```
python main.py
```

Project Structure

main.py: Entry point for the CrewAI workflow and Docker runner.
agents.py: Defines the specialized AI agents.
tasks.py: Defines the goals for each agent.
Dockerfile: Configuration for the secure execution environment.
output.png/: Directory for visualization results (ignored by Git).

Contract & API

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

MissingGITHUB REPOS

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

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-aathisankar7-autodatalab/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-aathisankar7-autodatalab/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-aathisankar7-autodatalab/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

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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-aathisankar7-autodatalab/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-aathisankar7-autodatalab/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-aathisankar7-autodatalab/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aathisankar7-autodatalab/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aathisankar7-autodatalab/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aathisankar7-autodatalab/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T01:53:05.207Z"
    }
  },
  "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": "Aathisankar7",
    "href": "https://github.com/aathisankar7/AutoDataLab",
    "sourceUrl": "https://github.com/aathisankar7/AutoDataLab",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:15:07.415Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-aathisankar7-autodatalab/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-aathisankar7-autodatalab/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:15:07.415Z",
    "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-aathisankar7-autodatalab/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-aathisankar7-autodatalab/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
  }
]