Xpersona

Crawler Summary

Multi-Agent-Code-Testing-Validation-System answer-first brief

Built a multi-agent AI system using CrewAI where specialized agents handle code analysis, test generation, security review, and unit test creation. The system includes an AST-based static analysis layer, a pytest execution engine, and a Streamlit dashboard for visualization. A Flask API exposes the system for external integration. AI Multi-Agent Code Testing & Validation System An advanced, production-grade multi-agent AI system that automates static code analysis, semantic test case generation, vulnerability scanning, and executable unit test generation. Powered by **CrewAI**, **DeepSeek-R1**, **Flask**, and **Streamlit**. --- Architectural Blueprint & Data Flow --- Tech Stack * **AI Orchestration:** CrewAI (Sequential Process Mapping) * **LL Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

Multi-Agent-Code-Testing-Validation-System 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
Agent DossierGITHUB REPOSSafety: 66/100

Multi-Agent-Code-Testing-Validation-System

Built a multi-agent AI system using CrewAI where specialized agents handle code analysis, test generation, security review, and unit test creation. The system includes an AST-based static analysis layer, a pytest execution engine, and a Streamlit dashboard for visualization. A Flask API exposes the system for external integration. AI Multi-Agent Code Testing & Validation System An advanced, production-grade multi-agent AI system that automates static code analysis, semantic test case generation, vulnerability scanning, and executable unit test generation. Powered by **CrewAI**, **DeepSeek-R1**, **Flask**, and **Streamlit**. --- Architectural Blueprint & Data Flow --- Tech Stack * **AI Orchestration:** CrewAI (Sequential Process Mapping) * **LL

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

Shubhamkathar

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

Shubhamkathar

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 · 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

6

Snippets

0

Languages

python

Executable Examples

text

[ User Python Code Input ]
                   │
                   ▼
         ┌──────────────────┐
         │ AST Static Engine│ ──► Extracts Functions, Classes & AST Nodes
         └──────────────────┘
                   │
                   ▼
     ┌──────────────────────────┐
     │    CrewAI Orchestrator   │ (Sequential Processing Pipeline)
     └──────────────────────────┘
           │         │         │
           │         ├── Code Analyzer Agent  ──► Builds syntactic profiles
           │         ├── Test Designer Agent  ──► Identifies edge-cases & limits
           │         ├── Security Agent      
           │         └── Pytest Engineer Agent──► Generates executable code
           │
           ▼
 ┌──────────────────────────────────┐
 │  Automated Pytest Runner Engine  │ ──► Executes tests dynamically via Subprocess
 └──────────────────────────────────┘
           │
           ▼
 ┌──────────────────────────────────┐
 │     Dual-Interface Delivery      │
 │  • Streamlit Dashboard (UI)      │
 │  • Flask RESTful API (Microserv) │
 └──────────────────────────────────┘

text

ai-multi-agent-testing/
│
├── app.py                  # Flask REST API Microservice
├── streamlit_app.py        # Streamlit Analytics Dashboard UI
├── crew_setup.py           # CrewAI Orchestrator & Task Pipeline
├── agents.py               # Specialized Multi-Agent Definitions
├── tasks.py                # Expected Outputs & Task Configurations
├── config.py               # LLM Client Initialization Configuration
├── test_runner.py          # Dynamic Pytest Subprocess Execution Engine
├── analyzer.py             # AST Static Parsing Utility
├── requirements.txt        # Production Dependencies
└── README.md               # System Documentation

bash

# Clone the repository
git clone https://github.com
cd ai-multi-agent-testing

# Create and activate an isolated virtual environment
python3 -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate

# Install all production dependencies
pip install -r requirements.txt

bash

export NVIDIA_API_KEY="your_nvidia_nim_api_key_here"

bash

streamlit run streamlit_app.py

bash

python 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

Built a multi-agent AI system using CrewAI where specialized agents handle code analysis, test generation, security review, and unit test creation. The system includes an AST-based static analysis layer, a pytest execution engine, and a Streamlit dashboard for visualization. A Flask API exposes the system for external integration. AI Multi-Agent Code Testing & Validation System An advanced, production-grade multi-agent AI system that automates static code analysis, semantic test case generation, vulnerability scanning, and executable unit test generation. Powered by **CrewAI**, **DeepSeek-R1**, **Flask**, and **Streamlit**. --- Architectural Blueprint & Data Flow --- Tech Stack * **AI Orchestration:** CrewAI (Sequential Process Mapping) * **LL

Full README

AI Multi-Agent Code Testing & Validation System

An advanced, production-grade multi-agent AI system that automates static code analysis, semantic test case generation, vulnerability scanning, and executable unit test generation. Powered by CrewAI, DeepSeek-R1, Flask, and Streamlit.

Architectural Blueprint & Data Flow

       [ User Python Code Input ]
                   │
                   ▼
         ┌──────────────────┐
         │ AST Static Engine│ ──► Extracts Functions, Classes & AST Nodes
         └──────────────────┘
                   │
                   ▼
     ┌──────────────────────────┐
     │    CrewAI Orchestrator   │ (Sequential Processing Pipeline)
     └──────────────────────────┘
           │         │         │
           │         ├── Code Analyzer Agent  ──► Builds syntactic profiles
           │         ├── Test Designer Agent  ──► Identifies edge-cases & limits
           │         ├── Security Agent      
           │         └── Pytest Engineer Agent──► Generates executable code
           │
           ▼
 ┌──────────────────────────────────┐
 │  Automated Pytest Runner Engine  │ ──► Executes tests dynamically via Subprocess
 └──────────────────────────────────┘
           │
           ▼
 ┌──────────────────────────────────┐
 │     Dual-Interface Delivery      │
 │  • Streamlit Dashboard (UI)      │
 │  • Flask RESTful API (Microserv) │
 └──────────────────────────────────┘

Tech Stack

  • AI Orchestration: CrewAI (Sequential Process Mapping)
  • LLM Engine: DeepSeek-R1 (via NVIDIA NIM Inference API)
  • Static Analysis: Python Standard ast (Abstract Syntax Tree) Parser
  • Execution Core: Pytest Automation Engine via Subprocess
  • Frontend Interface: Streamlit (Real-time analytics dashboard)
  • Backend Architecture: Flask RESTful Microservice
  • Package Management: Pip Environment Manager

📁 Repository Structure

ai-multi-agent-testing/
│
├── app.py                  # Flask REST API Microservice
├── streamlit_app.py        # Streamlit Analytics Dashboard UI
├── crew_setup.py           # CrewAI Orchestrator & Task Pipeline
├── agents.py               # Specialized Multi-Agent Definitions
├── tasks.py                # Expected Outputs & Task Configurations
├── config.py               # LLM Client Initialization Configuration
├── test_runner.py          # Dynamic Pytest Subprocess Execution Engine
├── analyzer.py             # AST Static Parsing Utility
├── requirements.txt        # Production Dependencies
└── README.md               # System Documentation

Quick Start & Deployment

1. Environment Initialization

# Clone the repository
git clone https://github.com
cd ai-multi-agent-testing

# Create and activate an isolated virtual environment
python3 -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate

# Install all production dependencies
pip install -r requirements.txt

2. Configure Environment Secrets

Create a .env file in the root directory or export your credentials:

export NVIDIA_API_KEY="your_nvidia_nim_api_key_here"

Update config.py to source the key securely using os.getenv("NVIDIA_API_KEY").

3. Execution Options

  • Option A: Launch the Streamlit Analytics Dashboard Frontend 
    streamlit run streamlit_app.py
  • Option B: Spin up the Flask REST API Backend Microservice 
    python app.py

Project Summary

Developed an enterprise-grade multi-agent software validation pipeline utilizing CrewAI and DeepSeek-R1 to automate full-lifecycle code quality assurance. The platform blends deterministic Abstract Syntax Tree (AST) engineering with heuristic large language models to construct semantic edge-case test suites, conduct vulnerability scans, and generate executable pytest suites, reducing manual test-writing overhead by up to 70%.

  • Multi-Agent Choreography: Designed a 4-agent sequential workflow assigning granular, specialized domains (Syntax Isolation, Edge-Case Synthesis, Security Auditing, Test Compilation) to mitigate LLM hallucinations.
  • AST Isolation Layer: Created a static analysis preprocessing step using Python’s native ast library to extract class and functional metadata, injecting strict boundary parameters directly into the agent prompt context.
  • Dynamic Test Runner: Integrated an automated test execution subsystem using isolated subprocess sandboxing to compile, run, and feedback execution-time standard outputs (stdout/stderr) dynamically.
  • Dual-Delivery Architecture: Built a decoupled stack featuring a headless Flask API for seamless CI/CD pipeline integrations alongside an interactive Streamlit dashboard tailored for developer code reviews.

Licensed under the MIT License.

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-shubhamkathar-multi-agent-code-testing-validation-system/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-shubhamkathar-multi-agent-code-testing-validation-system/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-shubhamkathar-multi-agent-code-testing-validation-system/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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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-shubhamkathar-multi-agent-code-testing-validation-system/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-shubhamkathar-multi-agent-code-testing-validation-system/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-shubhamkathar-multi-agent-code-testing-validation-system/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shubhamkathar-multi-agent-code-testing-validation-system/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shubhamkathar-multi-agent-code-testing-validation-system/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shubhamkathar-multi-agent-code-testing-validation-system/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T23:49:01.154Z"
    }
  },
  "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": "Shubhamkathar",
    "href": "https://github.com/shubhamkathar/Multi-Agent-Code-Testing-Validation-System",
    "sourceUrl": "https://github.com/shubhamkathar/Multi-Agent-Code-Testing-Validation-System",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T19:19:45.835Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-shubhamkathar-multi-agent-code-testing-validation-system/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-shubhamkathar-multi-agent-code-testing-validation-system/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T19:19:45.835Z",
    "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-shubhamkathar-multi-agent-code-testing-validation-system/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-shubhamkathar-multi-agent-code-testing-validation-system/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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