Xpersona

Crawler Summary

agent-deployment_ai_toolkit answer-first brief

Deploy AI apps, agents, and workflows in Microsoft Foundry. --- name: agent-deployment_ai_toolkit description: Deploy AI apps, agents, and workflows in Microsoft Foundry. --- Deployment **When to use**: User asks to deploy, publish, host, or go production with AI apps, agents, or workflows to Microsoft Foundry. Common trigger phrases include: "deploy to Foundry", "publish my agent", "host on Azure", "deploy to Azure AI Foundry", "go live", "production deployment", or "deploy Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

agent-deployment_ai_toolkit is best for you 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 94/100

agent-deployment_ai_toolkit

Deploy AI apps, agents, and workflows in Microsoft Foundry. --- name: agent-deployment_ai_toolkit description: Deploy AI apps, agents, and workflows in Microsoft Foundry. --- Deployment **When to use**: User asks to deploy, publish, host, or go production with AI apps, agents, or workflows to Microsoft Foundry. Common trigger phrases include: "deploy to Foundry", "publish my agent", "host on Azure", "deploy to Azure AI Foundry", "go live", "production deployment", or "deploy

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Smallblackhole

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Unpublished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 4/15/2026.

View Source

Setup snapshot

git clone https://github.com/SmallBlackHole/skill-foundry-deploy.git
  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

Smallblackhole

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 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 OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

dockerfile

FROM python:3.11-slim

WORKDIR /app

COPY ./ user_agent/

WORKDIR /app/user_agent

RUN if [ -f requirements.txt ]; then \
        pip install -r requirements.txt; \
    else \
        echo "No requirements.txt found"; \
    fi

EXPOSE 8088

CMD ["python", "<ENTRYPOINT_FILE>"]

bash

IMAGE_TAG=$(cat /dev/urandom | tr -dc 'a-z0-9' | head -c 12)
IMAGE_NAME="$ACR_NAME.azurecr.io/$AGENT_NAME:$IMAGE_TAG"
az acr build --registry $ACR_NAME --image $IMAGE_NAME --subscription $SUB_ID --source-acr-auth-id "[caller]" <SOURCE_DIR>

bash

az acr task show-run -r $ACR_NAME --run-id <run-id> --query status

bash

az account get-access-token --resource https://ai.azure.com --query accessToken --output tsv

text

POST https://$FOUNDRY_RESOURCE.services.ai.azure.com/api/projects/$PROJECT_NAME/agents/$AGENT_NAME/versions?api-version=2025-05-15-preview

json

{
    "definition": {
        "kind": "hosted",
        "container_protocol_versions": [
            { "protocol": "RESPONSES", "version": "v1" }
        ],
        "cpu": "0.5",
        "memory": "1Gi",
        "image": "$IMAGE_NAME",
        "environment_variables": { "LOG_LEVEL": "debug" }
    }
}

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Deploy AI apps, agents, and workflows in Microsoft Foundry. --- name: agent-deployment_ai_toolkit description: Deploy AI apps, agents, and workflows in Microsoft Foundry. --- Deployment **When to use**: User asks to deploy, publish, host, or go production with AI apps, agents, or workflows to Microsoft Foundry. Common trigger phrases include: "deploy to Foundry", "publish my agent", "host on Azure", "deploy to Azure AI Foundry", "go live", "production deployment", or "deploy

Full README

name: agent-deployment_ai_toolkit description: Deploy AI apps, agents, and workflows in Microsoft Foundry.

Deployment

When to use: User asks to deploy, publish, host, or go production with AI apps, agents, or workflows to Microsoft Foundry. Common trigger phrases include: "deploy to Foundry", "publish my agent", "host on Azure", "deploy to Azure AI Foundry", "go live", "production deployment", or "deploy my workflow".

Prerequisites

  • Azure CLI installed and authenticated
  • Azure AI Foundry Resource and Project created
  • Agent must be wrapped as HTTP server using Agent-as-Server pattern. See agent-as-server.md.

Deployment Workflow

Step 1: Verify locally

Verify agent runs locally as HTTP server.

Step 2: Gather Context

Call tools to collect deployment information:

  • aitk-list_foundry_models - get user's Foundry project, subscription, and resource group. If this tool is not available, ask user directly for project name, subscription, and resource group.
  • Check if Dockerfile and requirements.txt exist in project directory

Step 3: Collect Missing Information

Ask user for information not available from tools:

  • AGENT_NAME - name for the hosted agent
  • ENTRYPOINT - main Python file to run, e.g., app.py (if Dockerfile needs to be generated)

Step 4: Prepare Dockerfile

If no Dockerfile exists, generate from template:

FROM python:3.11-slim

WORKDIR /app

COPY ./ user_agent/

WORKDIR /app/user_agent

RUN if [ -f requirements.txt ]; then \
        pip install -r requirements.txt; \
    else \
        echo "No requirements.txt found"; \
    fi

EXPOSE 8088

CMD ["python", "<ENTRYPOINT_FILE>"]

Replace <ENTRYPOINT_FILE> with user's specified entry point.

Note: If you decide to add .env to .dockerignore, confirm with the user which environment variables need to be included in the Docker container.

Step 5: Configure ACR

If ACR exists: Use existing ACR directly, skip role assignment.

If no ACR exists: Create new ACR with ABAC repository permissions mode, then assign:

  • Container Registry Repository Reader to Foundry project managed identity
  • Container Registry Repository Writer to current user

Step 6: Build and Push Container Image

Use ACR remote build (no local Docker required):

IMAGE_TAG=$(cat /dev/urandom | tr -dc 'a-z0-9' | head -c 12)
IMAGE_NAME="$ACR_NAME.azurecr.io/$AGENT_NAME:$IMAGE_TAG"
az acr build --registry $ACR_NAME --image $IMAGE_NAME --subscription $SUB_ID --source-acr-auth-id "[caller]" <SOURCE_DIR>

Important: --source-acr-auth-id "[caller]" is required.

Note: az acr build streams logs from the remote build. If the CLI crashes while displaying logs (e.g., UnicodeEncodeError on Windows), the remote build continues running independently. Do not assume failure. Check actual build status with:

az acr task show-run -r $ACR_NAME --run-id <run-id> --query status

Step 7: Deploy Agent Version

Get access token and create agent version:

az account get-access-token --resource https://ai.azure.com --query accessToken --output tsv

POST https://$FOUNDRY_RESOURCE.services.ai.azure.com/api/projects/$PROJECT_NAME/agents/$AGENT_NAME/versions?api-version=2025-05-15-preview

Body:

{
    "definition": {
        "kind": "hosted",
        "container_protocol_versions": [
            { "protocol": "RESPONSES", "version": "v1" }
        ],
        "cpu": "0.5",
        "memory": "1Gi",
        "image": "$IMAGE_NAME",
        "environment_variables": { "LOG_LEVEL": "debug" }
    }
}

Record $AGENT_VERSION from response.

Step 8: Start Agent Container

POST https://$FOUNDRY_RESOURCE.services.ai.azure.com/api/projects/$PROJECT_NAME/agents/$AGENT_NAME/versions/$AGENT_VERSION/containers/default:start?api-version=2025-05-15-preview

Body:

{
    "min_replicas": 1,
    "max_replicas": 1
}

Step 9: Validate Deployment

Test the agent:

POST https://$FOUNDRY_RESOURCE.services.ai.azure.com/api/projects/$PROJECT_NAME/openai/responses?api-version=2025-05-15-preview

Body:

{
    "agent": {
        "type": "agent_reference",
        "name": "$AGENT_NAME",
        "version": "$AGENT_VERSION"
    },
    "input": [
        {
            "role": "user",
            "content": [
                {
                    "type": "input_text",
                    "text": "Hi, what can you do"
                }
            ]
        }
    ],
    "stream": false
}

Step 10: Post-Deployment

  • Create reusable deployment script in project root
  • Save deployment summary to .azure/foundry-deployment-summary.md

Contract & API

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

MissingGITHUB OPENCLEW

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://xpersona.co/api/v1/agents/smallblackhole-skill-foundry-deploy/snapshot"
curl -s "https://xpersona.co/api/v1/agents/smallblackhole-skill-foundry-deploy/contract"
curl -s "https://xpersona.co/api/v1/agents/smallblackhole-skill-foundry-deploy/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

70

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

70

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

70

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

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
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/smallblackhole-skill-foundry-deploy/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/smallblackhole-skill-foundry-deploy/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/smallblackhole-skill-foundry-deploy/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/smallblackhole-skill-foundry-deploy/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/smallblackhole-skill-foundry-deploy/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/smallblackhole-skill-foundry-deploy/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T00:35:53.325Z"
    }
  },
  "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": "you",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:you|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": "Smallblackhole",
    "href": "https://github.com/SmallBlackHole/skill-foundry-deploy",
    "sourceUrl": "https://github.com/SmallBlackHole/skill-foundry-deploy",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:13:51.960Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/smallblackhole-skill-foundry-deploy/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smallblackhole-skill-foundry-deploy/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:13:51.960Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/smallblackhole-skill-foundry-deploy/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smallblackhole-skill-foundry-deploy/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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