Liongard Detections
De la autor
Liongard's change and anomaly detection layer: detections generated by inspection-to-inspection comparison, detection types/severities/status lifecycle, configurable alert rules and notification channels, custom metrics with JMESPath expressions and threshold evaluation, and the platform timeline audit trail.
Instalare
npx skills add WYRE-AI/msp-claude-plugins --skill 'Liongard Detections' -a claude-code
Se instalează în .claude/skills/Liongard-Detections/ · 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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Verificări de siguranță pe SKILL.md
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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 SystemsWYRE-AI/msp-claude-pluginsLiongard systems — the assets discovered by inspections — plus their detail data (raw configuration JSON with historical snapshots), dataprint extraction via JMESPath expressions, and the v2 Asset Inventory identity and device profiles that correlate one entity across multiple inspectors.Altele★ 51
- Standards Drift DetectionWYRE-AI/msp-claude-pluginsDetecting configuration drift against an established baseline: CIPP standards checks and Best Practice Analyser results, Liongard change detections and inspection timelines, the three conditions that make a diff real drift rather than noise, the signals that separate intentional or authorized change from unauthorized weakening (ticket correlation, reversion pattern, direction of change), and the priority order for ranking several drift findings at once.Altele★ 51
- data-anomaly-detectordatadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionDetect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods.Altele★ 375
- elasticsearch-anomaly-detection-explainerelastic/agent-skillsExplain Elasticsearch ML anomaly detection scores, model behavior, and result interpretation. Use when the user asks why a score is high or low, how the model learns, what the numbers mean, or how to troubleshoot unexpected anomaly scores.OficialAltele★ 602
- Datadog Anomaly Detectoragentskillexchange/skillsLeverages the Datadog API v2 metrics and events endpoints to detect anomalous patterns. Uses the Datadog Monitors API to create dynamic thresholds and sends escalations via OpsGenie REST API.Inginerie★ 58
- friction-detectorathola/claude-night-marketDetect friction signals; graduate patterns into rules. Use for session retrospectives.Altele★ 343
Note și recenzii
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