用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/a5c-ai/babysitter --skill supply-chain-risk-assessor命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)
Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
基于 SOC 职业分类
正在显示 SKILL.md
| name | supply-chain-risk-assessor |
| description | Comprehensive supply chain risk identification and assessment skill with heat mapping |
| allowed-tools | ["Read","Write","Glob","Grep","Bash"] |
| metadata | {"specialization":"supply-chain","domain":"business","category":"risk-management","priority":"high"} |
| graph | {"domains":["domain:supply-chain"],"specializations":["specialization:supply-chain-optimization"],"skillAreas":["skill-area:procurement-management","skill-area:vendor-management-ops","skill-area:strategic-analysis"],"workflows":["workflow:vendor-onboarding","workflow:vendor-evaluation"],"roles":["role:supply-chain-analyst","role:procurement-manager","role:strategic-planner"]} |
The Supply Chain Risk Assessor provides comprehensive risk identification, assessment, and visualization capabilities for supply chain risk management. It supports structured risk categorization, probability-impact analysis, heat mapping, and control effectiveness evaluation.
risk_assessment_request:
scope:
categories: array # supplier, logistics, demand, etc.
geography: array
time_horizon: string
risk_inputs:
identified_risks: array
- risk_name: string
category: string
description: string
probability: float # 1-5 scale
impact: float # 1-5 scale
velocity: string # slow, medium, fast
historical_incidents: array
external_factors: array
controls:
existing_controls: array
control_effectiveness: object
risk_appetite: object
risk_assessment_output:
risk_register:
risks: array
- risk_id: string
name: string
category: string
description: string
probability: float
impact: float
risk_score: float
risk_level: string # Low, Medium, High, Critical
root_causes: array
controls: array
control_effectiveness: string
residual_risk: float
owner: string
mitigation_status: string
heat_map:
visualization_data: object
distribution: object
summary:
total_risks: integer
by_category: object
by_level: object
trends: object
recommendations: array
action_plan: array
Input: Supply chain scope, identified risks, historical incidents
Process: Score risks, calculate rankings, generate heat map
Output: Complete risk assessment with prioritized register
Input: Supplier category risks, control inventory
Process: Deep-dive risk analysis for supplier domain
Output: Supplier risk profile with mitigation priorities
Input: Current controls, incident data, audit findings
Process: Evaluate control performance, identify gaps
Output: Control effectiveness report with recommendations