Skillget

genpark-agentic-commerce-dynamic-escrow-milestone-releaser-skill

mcp
Security Audit
Warn
Health Warn
  • License — License: NOASSERTION
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 7 GitHub stars
Code Pass
  • Code scan — Scanned 4 files during light audit, no dangerous patterns found
Permissions Pass
  • Permissions — No dangerous permissions requested

No AI report is available for this listing yet.

SUMMARY

Autonomous Agentic Commerce Digital Escrow Milestone Payout Arbiter. Ingests contractual milestone criteria (git PR merge, unit test pass rate >= 90%, lighthouse performance >= 85), verifies cryptographic acceptance proofs, and releases esc | GenPark: https://www.genpark.ai | LinkedIn: https://www.llinkedin.com/company/92955550

README.md

genpark-agentic-commerce-dynamic-escrow-milestone-releaser-skill

Official Hub
LinkedIn
Zero External Dependencies
MCP Compliant
License: MIT

Official Website: https://www.genpark.ai
LinkedIn: https://www.linkedin.com/company/92955550 (https://www.llinkedin.com/company/92955550)

Autonomous Agentic Commerce Digital Escrow Milestone Payout Arbiter. Ingests contractual milestone criteria (git PR merge, unit test pass rate >= 90%, lighthouse performance >= 85), verifies cryptographic acceptance proofs, and releases escrow funds.

🌐 Official GenPark AI Ecosystem Links

🌟 Key Features

  • 100% Zero External Dependencies: Runs entirely on the Python 3.9+ standard library.
  • Model Context Protocol (MCP) Standard: Native support for JSON-RPC 2.0 initialize, tools/list, and tools/call.
  • Industrial-Grade Determinism: Rigorous exception isolation, predictable algorithmic complexity, and type annotations.
  • Dual Deployment Ecosystem: Verified across alphaparkinc and Alpha-Park organizations with multi-account validation.

🚀 Quick Start

1. Direct Python SDK Usage

from client import AgenticEscrowMilestonePayoutArbiter

def main():
    arbiter = AgenticEscrowMilestonePayoutArbiter()
    crit = {"min_test_pass_rate_pct": 90.0, "require_pr_merged": True}
    telem = {"test_pass_rate_pct": 98.5, "pr_merged": True, "commit_sha": "a1b2c3d4"}
    res = arbiter.evaluate_milestone_and_release("AGR-CORP-401", 1, 3200.0, crit, telem)
    print("--- Digital Escrow Milestone Arbiter ---")
    print(f"Contract: {res['contract_id']} (Milestone {res['milestone_index']})")
    print(f"Status: {res['payout_status']} | Payout: ${res['released_payout_usd']}")
    print(f"Authorization Token: {res['release_auth_token']}")

if __name__ == "__main__":
    main()

2. Run as Model Context Protocol (MCP) Server

Start standard JSON-RPC 2.0 server over stdio:

python mcp_server.py

Execute embedded test harness:

python mcp_server.py --test

🛠️ MCP Tool Specification

Inspect skill.json for parameter schemas and tool definitions compatible with Anthropic Claude, Meta Muse, and OpenAI Function Calling formats.

📜 License & Community

Licensed under the MIT License. Copyright © 2026 GenPark AI.
Follow us on LinkedIn: https://www.linkedin.com/company/92955550 | https://www.llinkedin.com/company/92955550

Reviews (0)

No results found