How do I install the Mkg Skill Review skill?

Run npx skillmds@latest add neo4j-labs/mkg-skill-review in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Mkg Skill Review safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Mkg Skill Review?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Mkg Skill Review free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Mkg Skill Review?

neo4j-labs (@neo4j-labs) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Mkg Skill Review by neo4j-labs — Agent Skill

Name: Mkg Skill Review
Author: neo4j-labs

Mkg Skill Review

Human-in-the-loop skill publishing for the Meta Knowledge Graph in Codex. Use when MKG_SKILL_ACTIVATION=human, when session start reports distilled skill proposals awaiting review, or when the user asks to review, validate, approve, publish, or discard MKG skills before agents can use them.

neo4j-labs Updated Sep 17, 2026

File contents

MKG Skill Review

Mirror the Claude Code /mkg-skill-review command as closely as Codex allows.

Before acting, read the canonical command spec at ../../commands/mkg-skill-review.md and follow it as the source of truth. Treat this skill file as the Codex adapter layer, not a fork of the workflow.

Codex Adaptations

Treat the user's explicit skill invocation text or trailing request as the command's $ARGUMENTS (a project id, or one skill slug).
Discover the actual MCP tool names available in this Codex session before using them. The server may appear as mcp__meta-knowledge-graph__*, mcp__plugin_meta-knowledge-graph_meta-knowledge-graph__*, or another Codex-normalized prefix. skill_review_queue lists the queue; project_resolve_skill is the only writer you may use to publish, fix, or discard a proposal.
Preserve every guardrail from the canonical command: show each proposal's full procedure before a decision, run the validation checklist and report it, let the user decide, never resolve an undecided proposal, never edit the graph with raw Cypher, and treat any safety finding as a discard.
Verify each applied decision with skill_fetch (published / fixed) or skill_review_queue (discarded) before reporting it.
When querying Neo4j through MCP for extra context, wrap temporal values with toString(...) so date/datetime values do not serialize as {}.

Output

Return the triage list, the per-proposal findings and decisions, the verified outcomes, and what is still queued. Do not dump raw JSON, transcripts, or secrets.

Frequently asked questions