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 early-warning-monitor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/.
正在显示 SKILL.md
基于 SOC 职业分类
| name | early-warning-monitor |
| description | Continuous supplier and supply chain risk monitoring with automated alerts |
| allowed-tools | ["Read","Write","Glob","Grep","Bash"] |
| metadata | {"specialization":"supply-chain","domain":"business","category":"risk-management","priority":"medium"} |
| graph | {"domains":["domain:supply-chain"],"specializations":["specialization:supply-chain-optimization"],"skillAreas":["skill-area:procurement-management","skill-area:vendor-management-ops","skill-area:statistical-analysis"],"workflows":["workflow:vendor-onboarding","workflow:vendor-evaluation"],"roles":["role:supply-chain-analyst","role:procurement-manager","role:operations-analyst"]} |
The Early Warning Monitor provides continuous monitoring of supplier and supply chain risk indicators. It integrates multiple data sources to detect early signs of potential disruptions and generates automated alerts for proactive risk mitigation.
monitoring_request:
monitored_entities:
suppliers: array
locations: array
categories: array
monitoring_sources:
financial: boolean
news: boolean
regulatory: boolean
weather: boolean
geopolitical: boolean
quality: boolean
alert_thresholds:
financial_score_drop: integer
sentiment_threshold: float
severity_levels: object
notification_preferences:
channels: array
recipients: array
frequency: string
monitoring_output:
alerts: array
- alert_id: string
timestamp: datetime
entity: string
entity_type: string
alert_type: string
severity: string # Low, Medium, High, Critical
source: string
description: string
indicators: array
recommended_actions: array
dashboard:
active_alerts: integer
by_severity: object
by_type: object
by_entity: object
trends: object
risk_signals:
financial: array
operational: array
geopolitical: array
environmental: array
monitoring_status:
sources_active: array
last_update: datetime
coverage: object
Input: Supplier list, credit monitoring feeds
Process: Track credit score changes, payment behavior
Output: Financial risk alerts when thresholds breached
Input: Supplier names, news and social media feeds
Process: Monitor sentiment, detect negative trends
Output: Reputation and operational risk alerts
Input: Supplier locations, weather service feeds
Process: Monitor severe weather, assess supply impact
Output: Natural disaster alerts with affected suppliers