hypertopos
- 8 skills
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- 11 hours ago last updated
- ▌ Gds Analyst · hypertopos bundleGDS anomaly investigation — goal-oriented, reads investigation hints and plans approach around what to find. Use for any investigation task with or without specific anomaly categories. Triggers on "investigate", "find anomalies", "run analysis", "what's anomalous here", "sphere health check", or any anomaly investigation task.
- ▌ Gds Monitor · hypertopos bundleGDS sphere health monitoring — drift detection, regime change tracking, alert response, and periodic health assessment. Use when user asks to "check sphere health", "monitor drift", "are there any alerts", "what changed since last time", "detect regime changes", "find emerging anomalies", "temporal health check", or "is the sphere healthy". Requires hypertopos MCP server with temporal data.
- ▌ Gds Scanner · hypertoposAdvanced anomaly detection — cross-pattern discrepancy, geometric neighbor contamination, temporal trajectory shape, population segment shift. These scans find anomaly types invisible to standard find_anomalies and passive_scan. Use when the sphere has multiple patterns covering the same entity line, temporal data, or categorical properties (nation, segment).
- ▌ Gds Explorer · hypertopos bundleGDS sphere exploration — orientation, population analysis, segmentation, and aggregate analysis. Use when user asks to "explore a sphere", "orient in a sphere", "show me what's in this sphere", "find archetypes", "cluster entities", "segment the population", "compare groups", "what patterns exist", or "give me an overview". Requires hypertopos MCP server.
- ▌ Gds Detective · hypertopos bundleDetection recipes for GDS anomaly investigation — event anomaly rates, temporal burst detection, Simpson's paradox, collective drift, composite aggregation, multi-pattern triangulation, passive_scan confirmation. Use when investigating anomalies found by gds-investigator, when sphere_overview shows event_rate_divergence_alerts, when composite patterns need subgroup analysis, or when temporal windowed comparison is needed. Use this skill for ANY detection recipe, even if the user doesn't explicitly name the pattern type.
- ▌ Gds Investigator · hypertopos bundleAnomaly investigation, root-cause tracing, entity deep-dive, and incident reconstruction via GDS geometric analysis. Use when user asks to "investigate an anomaly", "trace root cause", "why is this entity anomalous", "deep-dive into entity", "what happened to entity X", "reconstruct incident", "compare entities", or "check if this is a false positive". Requires hypertopos MCP server.
- ▌ Gds Sphere Designer · hypertopos bundleEnd-to-end sphere design and construction — from data discovery through pattern strategy, YAML generation, build, calibration, and iterative tuning. Use when user asks to "design a sphere", "build a sphere", "create a sphere from my data", "optimize my sphere", "set up hypertopos", "generate sphere.yaml", "import my data into GDS", "what patterns should I build", "why is my recall low", "too many false positives", "how to split dimensions", "which dimensions should I use", "my anomaly rate is wrong", "review my sphere design", or "what's wrong with my detection". Covers both conceptual design (WHAT) and materialization (HOW).
- ▌ Gds Fraud Investigator · hypertopos bundleAML/fraud detection and financial anomaly investigation via GDS geometric analysis — 3-phase process with 25 typology recipes. Use when user asks to "detect fraud", "screen for money laundering", "find suspicious accounts", "run AML scan", "investigate suspicious transactions", "typology detection", "passive scan for fraud", "detect insider trading", "find anomalous billing", "investigate suspicious transactions", or "financial crime detection". Use this skill for ANY financial anomaly investigation, not just AML. Requires hypertopos MCP server with a financial transaction sphere (account + pair + chain patterns).