How should Agent-Wiz 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

Agent-Wiz answer-first brief

A CLI tool for threat modeling and visualizing AI agents built using popular frameworks like LangGraph, AutoGen, CrewAI, and more. <div align=center><img src="https://github.com/Repello-AI/Agent-Wiz/raw/master/assets/agent_wiz.png" /></div> <br /> <div align="center"> <a href="https://pypi.org/project/repello-agent-wiz/"> <img src="https://img.shields.io/pypi/v/repello-agent-wiz.svg?color=blue" alt="PyPI version"> </a> <a href="https://pypi.org/project/repello-agent-wiz/"> <img src="https://img.shields.io/pypi/pyversions/repello-agent-wiz.svg" a Capability contract not published. No trust telemetry is available yet. 369 GitHub stars reported by the source. Last updated 4/16/2026.

Freshness

Last checked 4/16/2026

Best For

Agent-Wiz 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 OPENCLEW, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 75/100

Agent-Wiz

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Apr 16, 2026

Verifiededitorial-contentNo verified compatibility signals369 GitHub stars

Capability contract not published. No trust telemetry is available yet. 369 GitHub stars reported by the source. Last updated 4/16/2026.

369 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 16, 2026

Vendor

Repello Ai

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Unpublished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. 369 GitHub stars reported by the source. Last updated 4/16/2026.

View Source

Setup snapshot

git clone https://github.com/Repello-AI/Agent-Wiz.git

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

Repello Ai

profilemedium

Observed Apr 16, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium

Observed Apr 16, 2026Source link Provenance

Protocol compatibility

OpenClaw

contractmedium

Observed Apr 16, 2026Source link Provenance

Adoption (1)

Adoption signal

369 GitHub stars

profilemedium

Observed Apr 16, 2026Source link Provenance

Security (2)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

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 OPENCLEW

Extracted files

Examples

Snippets

Languages

python

Executable Examples

bash

pip install repello-agent-wiz

bash

export OPENAI_API_KEY=sk-...

bash

cp .env.sample .env

bash

agent-wiz extract --framework agent_chat --directory ./examples/code/agent_chat --output agentchat_graph.json

json

{
  "nodes": [...],
  "edges": [...],
  "metadata": {
    "framework": "autogen"
  }
}

bash

agent-wiz visualize --input agentchat_graph.json --open

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

Overview

Agent Wiz is a Python CLI for extracting agentic workflows from popular AI frameworks and performing automated threat assessments using established threat modeling methodologies. Built for developers, researchers, and security teams - Agent Wiz brings visibility to complex LLM-based orchestration to visualize flows, map tool/agent interactions, and generate actionable security reports.

Why Agent Wiz?

In modern LLM-powered systems, agentic workflows are becoming increasingly complex, often involving multiple autonomous agents, tools, and inter-agent communication chains. Agent Wiz helps you bring:

Visibility: Clearly visualize complex agent graphs without manual tracing
Structure: Map relationships between agents, tools, and data flows
Security: Apply threat modeling frameworks to identify potential vulnerabilities

Core Features

| Capability | Description | |---------|-------------| | Workflow Extraction | Extract agent-based workflows from code using AST-based static parsing | | Threat Vector Visualization | View agent-to-agent, agent-to-tool, and chained connections in an interactive graph | | Automated Threat Assessment | Generate comprehensive threat assessment report using established threat modeling frameworks for AI agents like MAESTRO| | Framework Agnostic | Works with all major LLM orchestration frameworks | | Developer Friendly | Simple CLI, extensible SDK, and clean JSON exports |

https://github.com/user-attachments/assets/40231eae-9716-421e-a005-fd55d1d8cc71

Supported Frameworks

The following agent orchestration frameworks are currently supported:

| Framework | Status | |------------------|---------| | Autogen (core) | ✅ | | AgentChat | ✅ | | CrewAI | ✅ | | LangGraph | ✅ | | LlamaIndex | ✅ | | n8n | ✅ | | OpenAI Agents | ✅ | | Pydantic-AI | ✅ | | Swarm | ✅ | | Google-ADK | ✅ |

Each framework has its own AST-based static parser to extract:

Agents (class/function-based)
Tool functions
Agent-to-agent transitions
Tool call chains
Group agents (e.g., selector, round-robin)

Security Analysis

Agent Wiz currently supports MAESTRO as its primary threat modeling framework. It evaluates agent workflows against the following structure:

Mission: Defining the system purpose and security objectives
Assets: Inventorying critical components (agents, tools, data flows)
Entrypoints: Mapping attack surfaces and access vectors
Security Controls: Evaluating existing defensive measures
Threats: Identifying potential vulnerabilities and attack scenarios
Risks: Calculating impact and likelihood of security events
Operations: Assessing runtime security considerations

Sample threat modelling report generated:

You can also add this line to your .bashrc, .zshrc, or environment setup script for persistent use.

🧪 More threat models analysis (STRIDE, PASTA, LINDDUN, etc.) are under development.

Installation

pip install repello-agent-wiz

Prerequisites

Before running any analysis commands, you must configure your OpenAI API key. You can do this in two ways:

Option 1: Environment Variable

export OPENAI_API_KEY=sk-...

Option 2: .env File (Recommended)

cp .env.sample .env

🚀 CLI Usage

1. Extract Agentic Workflow

agent-wiz extract --framework agent_chat --directory ./examples/code/agent_chat --output agentchat_graph.json

This will generate a graph JSON with the following structure:

{
  "nodes": [...],
  "edges": [...],
  "metadata": {
    "framework": "autogen"
  }
}

2. Visualize the Agentic workflow

agent-wiz visualize --input agentchat_graph.json --open

This will generate an html d3 based visualisation of the agentic workflow. The open flag (optional) and automatically opens the visualization in your default browser.

3. Analyze against Threat Modeling

agent-wiz analyze --input agentchat_graph.json

This will generate a report like: autogen_report.md based on the provided graph and threat modeling frameworks.

Run agent-wiz --help for more info:

usage: agent-wiz [-h] {extract,analyze,visualize} ...

Agent Wiz CLI: Extract, Analyze, Visualize agentic workflows.

positional arguments:
  {extract,analyze,visualize}
    extract             Extract graph from source code
    analyze             Run threat modeling analysis on extracted graph
    visualize           Generate HTML visualization from graph JSON

options:
  -h, --help            show this help message and exit

📈 Roadmap

Planned features (Not in any paricular order)

[x] Build parsers for major agentic frameworks (Autogen, LangGraph, CrewAI, etc.)
[x] Generate standardized JSON graph representations of agent flows
[x] CLI interfaces
[x] Security report generation
[ ] Extend to STRIDE, PASTA, LINDDUN, etc.
[ ] Agent simulation-based threat exploration

🤝 Contributing

We welcome contributions of all kinds!

⚠️ Please read CONTRIBUTING.md before submitting issues or PRs.

📜 Changelog

For recent changes and version history, see CHANGELOG.md.

📄 License

Licensed under the Apache 2.0 License. See LICENSE for full details.

Attribution

Google ADK code examples are taken from Google ADK Samples

Contract & API

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

MissingGITHUB OPENCLEW

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-repello-ai-agent-wiz/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/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-repello-ai-agent-wiz/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T02:26:08.700Z"
    }
  },
  "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",
    "label": "Vendor",
    "value": "Repello Ai",
    "category": "vendor",
    "href": "https://github.com/Repello-AI/Agent-Wiz",
    "sourceUrl": "https://github.com/Repello-AI/Agent-Wiz",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-16T06:46:56.069Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-16T06:46:56.069Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "traction",
    "label": "Adoption signal",
    "value": "369 GitHub stars",
    "category": "adoption",
    "href": "https://github.com/Repello-AI/Agent-Wiz",
    "sourceUrl": "https://github.com/Repello-AI/Agent-Wiz",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-16T06:46:56.069Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-16T06:46:56.069Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "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,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-repello-ai-agent-wiz/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,
    "metadata": {}
  }
]

Agent-Wiz answer-first brief

Executive Summary

Evidence Ledger

Release & Crawl Timeline

Artifacts Archive

Docs & README

Overview

Why Agent Wiz?

Core Features

Supported Frameworks

Security Analysis

Installation

Prerequisites

🚀 CLI Usage

1. Extract Agentic Workflow

2. Visualize the Agentic workflow

3. Analyze against Threat Modeling

📈 Roadmap

🤝 Contributing

📜 Changelog

📄 License

Links

Attribution

Contract & API

Reliability & Benchmarks

Media & Demo

Related Agents

activepieces

cherry-studio

AionUi

CopilotKit