# Openclaw 0179 Entity And Relation Linking

> Governance Knowledge Graph Linker. Use when work requires entity and relation linking for Safety and Governance with guardrails, traceable execution, and measurable outcomes.

- Skill: `zwright8/openclaw-0179-entity-and-relation-linking` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds add zwright8/openclaw-0179-entity-and-relation-linking`
- Raw SKILL.md: https://api.skillmd.com/api/skills/zwright8/openclaw-0179-entity-and-relation-linking/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: zwright8 (https://skillmd.com/u/zwright8)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/zwright8/openclaw-0179-entity-and-relation-linking

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# Governance Knowledge Graph Linker

## Mission
We need this skill because high-speed autonomy needs enforceable guardrails to stay aligned. This specific skill connects fragmented facts into reusable structures.

## Activation Cues
- Task requires entity and relation linking in Safety and Governance.
- Task needs explicit risk controls, approval gates, and traceable outcomes.
- Task output must include artifact handoff for humans and agents.

## Execution Plan
1. Define the scope and success metrics for `Governance Knowledge Graph Linker`, including at least three measurable KPIs tied to unsafe actions and policy drift.
2. Design and version the input/output contract for policies, violations, and mitigation actions, then add schema validation and failure-mode handling.
3. Implement the core capability using entity and relation linking, and produce linked knowledge entities with deterministic scoring.
4. Integrate the skill into swarm orchestration: task routing, approval gates, retry strategy, and rollback controls.
5. Add unit, integration, and simulation tests that explicitly cover unsafe actions and policy drift, then run regression baselines.
6. Deploy behind a feature flag, monitor telemetry/alerts for two release cycles, and iterate thresholds based on observed outcomes.

## Runbook
Preflight:
- None specified.

Execution:
- None specified.

Recovery:
- None specified.

Handoff:
- None specified.

## Guardrails
- [quality] Require validations before promoting outputs.

## Success Metrics
- Primary metric: unsafe actions
- Secondary metrics: policy drift, decision drift
- Review cadence: weekly

## Output Contract
- Return a concise execution summary with key decisions.
- Return risk and mitigation notes with unresolved blockers.
- Return artifact target: `linked knowledge entities`.
- Return recommended follow-up tasks for next wave execution.