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provenance
Trace data lineage, source attribution, audit trails, and provenance assertions in VeritasReason graphs.
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。
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Trace data lineage, source attribution, audit trails, and provenance assertions in VeritasReason graphs.
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。
基于 SOC 职业分类
VeritasReason 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 VeritasReason knowledge graph — causal chains, interventions, counterfactuals, and causal influence scores.
Track and inspect graph changes, diffs, temporal updates, and the impact of new data on VeritasReason knowledge graphs.
Full decision lifecycle in VeritasReason � record, query, find precedents (hybrid/advanced), analyze influence, explain, insights dashboard, list, and record exceptions. Uses AgentContext, ContextGraph, DecisionQuery, CausalChainAnalyzer, DecisionRecorder.
Detect duplicate entities, duplicate groups, and relationship duplicates in VeritasReason using fuzzy matching, schema heuristics, and graph similarity.
Generate, inspect, and use node/text embeddings in VeritasReason — compute Node2Vec embeddings, find similar nodes, score link predictions, batch similarity, and pairwise similarity. Uses NodeEmbedder, SimilarityCalculator, LinkPredictor, and AgentContext. Sub-commands: compute, similar, similarity, predict-link, top-links, batch, pairwise.
| name | provenance |
| description | Trace data lineage, source attribution, audit trails, and provenance assertions in VeritasReason graphs. |
Inspect provenance metadata. Usage: /veritasreason: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 veritasreason.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.