메뉴
Trace data lineage, source attribution, audit trails, and provenance assertions in Semantica graphs.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Semantica full-stack knowledge graph skill for context graphs, decision intelligence, explainability, extraction, reasoning, visualization, ontology, provenance, policy, and export workflows.
Analyze cause-and-effect relationships in the Semantica knowledge graph — causal chains, interventions, counterfactuals, and causal influence scores.
Explain Semantica reasoning, decision logic, and graph results with traceability, causal context, and human-readable rationale.
Detect duplicate entities, duplicate groups, and relationship duplicates in Semantica using fuzzy matching, schema heuristics, and graph similarity.
Export Semantica graphs, results, and provenance to JSON, RDF, Parquet, CSV, GraphML, and other formats.
Ingest data from files, databases, APIs, or streams into Semantica knowledge graphs with schema mapping and entity linking.
| name | provenance |
| description | Trace data lineage, source attribution, audit trails, and provenance assertions in Semantica graphs. |
Inspect provenance metadata. Usage: /semantica:provenance <task> [args]
$ARGUMENTS = task + optional node, edge, or time range.
trace <node_id> [--depth N]Trace the provenance of a node or fact.
from semantica.provenance import ProvenanceTracer
tracer = ProvenanceTracer()
trace = tracer.trace_node(node_id=node_id, depth=depth)
Output: source chain, authors, timestamps, and validation status.
audit [--since <ts>] [--actor <id>]View audit logs for graph changes.
audit_log = tracer.get_audit_log(since=since, actor=actor)
Return: change events, actor, affected objects, and action details.