Liongard Overview
De la autor
Liongard platform fundamentals: the entity model (environments, agents, inspectors, launchpoints, systems, detections, metrics, timeline, dataprints, asset inventory), X-ROAR-API-KEY authentication against instance-scoped URLs, the split between the v1 and v2 APIs, and the shared pagination, filtering, and rate-limit conventions.
Instalare
npx skills add WYRE-AI/msp-claude-plugins --skill 'Liongard Overview' -a claude-code
Se instalează în .claude/skills/Liongard-Overview/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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De ce 82
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- Liongard InspectionsWYRE-AI/msp-claude-pluginsLiongard's inspection pipeline: inspector templates and their credential and agent requirements, launchpoint configuration that binds inspector + environment + agent + credentials + cron schedule, on-demand inspection runs and their status lifecycle, and the failure modes behind failed runs.Planificare★ 51
- Liongard EnvironmentsWYRE-AI/msp-claude-pluginsLiongard environments — the per-customer containers that own all agents, launchpoints, systems, detections, and metrics. Covers environment CRUD, the lightweight count endpoint, v2 environment groups, tiering, related-entity lookups, and integration mappings to PSA/RMM platforms.Altele★ 51
- Xero API PatternsWYRE-AI/msp-claude-pluginsXero Accounting API fundamentals: OAuth2 Custom Connection (client credentials) auth and scopes, the xero-tenant-id header, where-clause filter syntax, page-based pagination, rate limits, the two date formats, validation-error shape, and batch operations.Inginerie★ 51
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- langchainOrchestra-Research/AI-Research-SKILLsFramework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.DevOps★ 14K
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