genpark-supply-chain-risk-skill
GenPark AI Skill - Analyze supply chain disruption risk with geographic, dependency, and reliability scoring
Install / Use
claude mcp add alphaparkinc -- npx -y github:alphaparkinc/genpark-supply-chain-risk-skillIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Our assessment of genpark-supply-chain-risk-skill
genpark-supply-chain-risk-skill scores 59/100 on our quality scale, 2711th of 2,864 Automation skills we index.
Its MCP Server is 1.1 KB long, split into 4 sections with 2 code examples: fairly brief, so expect to fill in details yourself.
It has 10 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 3 months ago, so genpark-supply-chain-risk-skill is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 85/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-01. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
genpark-supply-chain-risk-skill compared with similar skills
All 4 of these similar skills score higher than genpark-supply-chain-risk-skill; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| genpark-supply-chain-risk-skill (this skill)by alphaparkinc | 59 | 10 | 3mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 87.2k | 16d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.2k | today | CLAUDE.md |
| rufloby ruvnet | 100 | 73.6k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.2k | today | CLAUDE.md |
Frequently asked questions
- How do I install genpark-supply-chain-risk-skill?
- Run
claude mcp add alphaparkinc -- npx -y github:alphaparkinc/genpark-supply-chain-risk-skill. The install tabs above show the steps for each supported agent. - Which AI agents does genpark-supply-chain-risk-skill work with?
- It is written for Claude Code, Claude Desktop and Cursor, as a MCP Server file. Other agents that read the same format can often use it too.
- Is genpark-supply-chain-risk-skill safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 85/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is genpark-supply-chain-risk-skill still maintained?
- The repository was last updated about 3 months ago, so genpark-supply-chain-risk-skill is actively maintained.
Skill content
View source on GitHubgenpark-supply-chain-risk-skill
GenPark AI Agent Skill — Analyze supply chain disruption risk for e-commerce operations.
Features
- 5 risk dimensions: Geographic Concentration, Single-Source Dependency, Supplier Reliability, Lead Time Variance, Inventory Buffer
- Weighted composite risk score (0-100)
- Risk levels: Low / Moderate / High / Critical
- Prioritized action recommendations
- Works fully offline — no external APIs needed
Quick Start
from client import SupplyChainRiskClient
client = SupplyChainRiskClient()
result = client.analyze(
suppliers=[
{"name": "Acme Mfg", "country": "CN", "lead_time_days": 45, "reliability_score": 0.80, "category": "electronics"},
],
inventory_days=30,
single_source_categories=["electronics"],
)
print(f"Risk Score: {result['risk_score']}/100 — {result['risk_level']}")
for rec in result["recommendations"]:
print(f" - {rec}")
Installation
python example_usage.py # No external dependencies
Built by GenPark | alphaparkinc
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.