How should agent-team-dev 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-team-dev answer-first brief

Multi-agent software development team orchestration. Use when the user requests building a full application, feature, or system that involves multiple layers (frontend, backend, testing, DevOps). Spawns specialized sub-agents with role-specific expertise, coordinates their work, and merges results. Supports: full-stack apps, microservices, API development, CI/CD setup. --- name: agent-team-dev description: > Multi-agent software development team orchestration. Use when the user requests building a full application, feature, or system that involves multiple layers (frontend, backend, testing, DevOps). Spawns specialized sub-agents with role-specific expertise, coordinates their work, and merges results. Supports: full-stack apps, microservices, API development, CI/CD setup. --- Agen Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

agent-team-dev is best for start 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: 89/100

agent-team-dev

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Grand Ou

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Unpublished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 2/25/2026.

View Source

Setup snapshot

git clone https://github.com/Grand-ou/agent-team-dev.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

Grand Ou

profilemedium

Observed Feb 25, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Feb 25, 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 OPENCLEW

Extracted files

Examples

Snippets

Languages

typescript

Parameters

Executable Examples

text

User Request
    ↓
Main Agent (Architect / PM)
  ├── Analyze requirements
  ├── Design system architecture
  ├── Break down into tasks
  ├── Assign to specialized agents
  │
  ├── spawn → Frontend Agent    (UI/UX, components, pages)
  ├── spawn → Backend Agent     (API, DB, business logic)
  ├── spawn → Testing Agent     (unit/integration/e2e tests)
  └── spawn → DevOps Agent      (Docker, CI/CD, deployment)
  │
  ├── Collect results from all agents
  ├── Resolve conflicts / integration issues
  └── Report final deliverables to user

json

{
  "project_name": "...",
  "summary": "...",
  "tech_stack": { "frontend": "...", "backend": "...", "database": "..." },
  "tasks": {
    "frontend": ["task1", "task2"],
    "backend": ["task1", "task2"],
    "testing": ["task1", "task2"],
    "devops": ["task1", "task2"]
  }
}

text

Read references/<role>-agent.md for the role definition.

sessions_spawn({
  task: `[Role definition from references]\n\n## Your Task:\n${taskDescription}\n\n## Tech Stack:\n${techStack}\n\n## Project Context:\n${context}`,
  label: "agent-team:<role>",
  runTimeoutSeconds: 300
})

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

name: agent-team-dev description: > Multi-agent software development team orchestration. Use when the user requests building a full application, feature, or system that involves multiple layers (frontend, backend, testing, DevOps). Spawns specialized sub-agents with role-specific expertise, coordinates their work, and merges results. Supports: full-stack apps, microservices, API development, CI/CD setup.

Agent Team Dev

Orchestrate a team of specialized development agents to build software collaboratively.

Architecture

User Request
    ↓
Main Agent (Architect / PM)
  ├── Analyze requirements
  ├── Design system architecture
  ├── Break down into tasks
  ├── Assign to specialized agents
  │
  ├── spawn → Frontend Agent    (UI/UX, components, pages)
  ├── spawn → Backend Agent     (API, DB, business logic)
  ├── spawn → Testing Agent     (unit/integration/e2e tests)
  └── spawn → DevOps Agent      (Docker, CI/CD, deployment)
  │
  ├── Collect results from all agents
  ├── Resolve conflicts / integration issues
  └── Report final deliverables to user

Workflow

Step 1: Requirement Analysis

Parse the user's request and produce:

{
  "project_name": "...",
  "summary": "...",
  "tech_stack": { "frontend": "...", "backend": "...", "database": "..." },
  "tasks": {
    "frontend": ["task1", "task2"],
    "backend": ["task1", "task2"],
    "testing": ["task1", "task2"],
    "devops": ["task1", "task2"]
  }
}

Step 2: Spawn Agents

Use sessions_spawn to dispatch each role. Read the corresponding role definition from references/ and include it in the task prompt.

Spawn order matters — respect dependencies:

Backend first — API contracts, DB schema (others depend on this)
Frontend second — needs API contracts from backend
Testing third — needs both frontend + backend code
DevOps last or parallel — can start with Dockerfile early

For independent tasks, spawn in parallel to save time.

Template for spawning:

Read references/<role>-agent.md for the role definition.

sessions_spawn({
  task: `[Role definition from references]\n\n## Your Task:\n${taskDescription}\n\n## Tech Stack:\n${techStack}\n\n## Project Context:\n${context}`,
  label: "agent-team:<role>",
  runTimeoutSeconds: 300
})

Step 3: Collect & Integrate

After all agents complete:

Review each agent's output
Check for conflicts (e.g., API contract mismatches)
If conflicts exist, spawn a follow-up agent to resolve
Compile final deliverables

Step 4: Report

Present to user:

Project structure overview
What each agent built
Integration status
Next steps / manual actions needed

Role Definitions

Each role is defined in references/:

| File | Role | Expertise | |------|------|-----------| | frontend-agent.md | Frontend Dev | React, Vue, HTML/CSS, responsive design | | backend-agent.md | Backend Dev | API design, databases, auth, business logic | | testing-agent.md | QA Engineer | Unit tests, integration tests, e2e, coverage | | devops-agent.md | DevOps Engineer | Docker, CI/CD, deployment, monitoring |

Tips

Small projects: Skip DevOps agent, just use Frontend + Backend + Testing.
API-only: Skip Frontend, focus on Backend + Testing + DevOps.
Prototype/MVP: Use only Frontend + Backend, skip Testing + DevOps.
Always share API contracts between Frontend and Backend agents via task context.

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://xpersona.co/api/v1/agents/grand-ou-agent-team-dev/snapshot"

curl -s "https://xpersona.co/api/v1/agents/grand-ou-agent-team-dev/contract"

curl -s "https://xpersona.co/api/v1/agents/grand-ou-agent-team-dev/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

GITHUB_REPOSactivepieces

Rank

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW

GITHUB_REPOScherry-studio

Rank

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW

GITHUB_REPOSAionUi

Rank

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW

GITHUB_REPOSCopilotKit

Rank

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

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://xpersona.co/api/v1/agents/grand-ou-agent-team-dev/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/grand-ou-agent-team-dev/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/grand-ou-agent-team-dev/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/grand-ou-agent-team-dev/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/grand-ou-agent-team-dev/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/grand-ou-agent-team-dev/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:50:03.439Z"
    }
  },
  "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": "start",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:start|supported|profile"
}

Facts JSON

[
  {
    "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": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Grand Ou",
    "href": "https://github.com/Grand-ou/agent-team-dev",
    "sourceUrl": "https://github.com/Grand-ou/agent-team-dev",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:23:46.052Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/grand-ou-agent-team-dev/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/grand-ou-agent-team-dev/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:23:46.052Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/grand-ou-agent-team-dev/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/grand-ou-agent-team-dev/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
  }
]