ski-kg-validator 3.1.0a2

Validate and review extracted compliance rules with mandatory human expert oversight.

kg-validator

Install from PyPI: pip install ski-kg-validator (publishing starts with the first release after June 2026).

Status: v3.0 — first production-target release.

Validate v3 Knowledge Graphs against SKI Framework specification v3.0 §3 (schema) and §3.6 (cross-cutting validation passes). Phase 1 (compilation) tool.

What it does

• Schema validation. Parses a v3 KG JSON file into the typed-node Pydantic models. Unknown obligation types, unknown edge types, unknown risk tiers, missing required fields, and extra unknown keys are all rejected at load time.
• Cross-cutting validation (§3.6). Detects duplicate node IDs, dangling edges, edges pointing at the wrong target node type, rules without any obligation, and orphan obligations.

What it no longer does (v2 retired in PR 10e)

• The v2 flat-rule-list format is gone. v3 typed obligations are the only currency.
• Interactive review, detect-conflicts, detect-duplicates, and HTML report subcommands were retired with the v2 path — they worked on the flat-rule shape and have no v3 equivalent. v3 conflict and duplicate detection happen at the typed-obligation level inside the validation passes and surface as issues in the output JSON.
• The ConfidenceLevel enum is gone. The extractor now carries an ExtractionQuality value (separate concept; see kg-extractor).

Installation

pip install -e tools/kg-validator

Quick start

# Validate a v3 KG and print the issue summary:
kg-validator validate --input examples/energy/knowledge-graphs/kg-energy-v3-demo.json

# Validate and persist the full issue report:
kg-validator validate \
  --input kg-energy-v3.json \
  --output validation-report.json

# Show usage examples:
kg-validator examples

# Show version:
kg-validator version

The validate command exits with code 0 on a clean KG, code 2 on a schema-level Pydantic validation failure, and code 3 on any CRITICAL or HIGH severity §3.6 issue.

Architecture

kg_validator/
├── __init__.py    public API: KnowledgeGraphV3, V3Validator, load_v3_kg, models
├── loader.py      KnowledgeGraphV3 container + load_v3_kg(path) entry point
├── models.py      typed Pydantic models per spec v3.0 §3 (nodes, edges, enums)
├── validator.py   V3Validator runs the §3.6 cross-cutting passes
└── cli.py         click-based CLI (`validate`, `examples`, `version`)

Conformance

The examples/energy/knowledge-graphs/kg-energy-v3-demo.json sample KG must load cleanly and produce zero validation issues. This is exercised by tests/test_v3_validator.py and by the CI durability suite.