How do I install the RAG Hallucination Governor skill?

Run npx skillmds@latest add lord1egypt/rag-hallucination-governor 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 RAG Hallucination Governor safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with RAG Hallucination Governor?

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 RAG Hallucination Governor free to use?

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

Who published RAG Hallucination Governor?

Lord1Egypt (@lord1egypt) published this skill. Their other Agent Skills are listed on their SkillMD profile.

RAG Hallucination Governor by lord1egypt

Name: RAG Hallucination Governor
Rating: 4.2 (5 reviews)
Author: Lord1Egypt

RAG Hallucination Governor

Diagnose and govern hallucination risk in production RAG systems. Use when users need practical RAG controls, retrieval threshold tuning, refusal or human-handoff rules, citation coverage checks, Top1 pollution handling, conflict detection, or production observability for RAG reliability.

Lord1Egypt Updated Sep 8, 2026 2 repo stars

File contents

rag-hallucination-governor

Production RAG hallucination governance assistant.

Before producing advice, read ANTI_TEMPLATE_STANDARD.md.

Use for:

wrong answers with plausible citations
weak or conflicting retrieval evidence
Top1 pollution and high-similarity wrong hits
query rewrite drift
wrong knowledge-base or intent routing
permission, scope, or version mismatch
threshold, rerank, reject-band, or fallback design
citation coverage and groundedness checks
human handoff routing for low-confidence answers

Do not output generic RAG education unless the user asks for it.

Use src/generator.js for quick deterministic triage. For deeper analysis, load this skill and produce the same five-part output standard directly from the provided logs and scenario.

Required Output Standard

Every recommendation must answer:

What signal triggered the risk?
What production failure may happen?
Which control should be changed?
What metric should be watched after the change?
When should the answer be refused or routed to a human?

Quick Mode

node {baseDir}/src/generator.js --symptom "Top1相似度很高但答案经常错" --scenario "客服知识库"

Self-Test

Run at least one real-scenario smoke test before reporting status:

node {baseDir}/src/generator.js --symptom "引用了错误政策但看起来有出处" --scenario "企业制度问答" --quick

For more examples, read TEST_CASES.md.

Review Notes

For synthetic ToB delivery scenarios, read FIELD_SCENARIOS.md.

Field Rules

Prefer controls that can be tested in logs.
Never invent project metrics, customer names, corpus snippets, or exact improvement numbers.
If retrieval evidence is missing, say what logs are needed.
Treat refusal and human handoff as valid outcomes.

---name: rag-hallucination-governordescription: Diagnose and govern hallucination risk in production RAG systems. Use when users need practical RAG controls, retrieval threshold tuning, refusal or human-handoff rules, citation coverage checks, Top1 pollution handling, conflict detection, or production observability for RAG reliability.---# rag-hallucination-governorProduction RAG hallucination governance assistant.Before producing advice, read `ANTI_TEMPLATE_STANDARD.md`.Use for:- wrong answers with plausible citations- weak or conflicting retrieval evidence- Top1 pollution and high-similarity wrong hits- query rewrite drift- wrong knowledge-base or intent routing- permission, scope, or version mismatch- threshold, rerank, reject-band, or fallback design- citation coverage and groundedness checks- human handoff routing for low-confidence answersDo not output generic RAG education unless the user asks for it.Use `src/generator.js` for quick deterministic triage. For deeper analysis, load this skill and produce the same five-part output standard directly from the provided logs and scenario.## Required Output StandardEvery recommendation must answer:1. What signal triggered the risk?2. What production failure may happen?3. Which control should be changed?4. What metric should be watched after the change?5. When should the answer be refused or routed to a human?## Quick Mode```bashnode {baseDir}/src/generator.js --symptom "Top1相似度很高但答案经常错" --scenario "客服知识库"```## Self-TestRun at least one real-scenario smoke test before reporting status:```bashnode {baseDir}/src/generator.js --symptom "引用了错误政策但看起来有出处" --scenario "企业制度问答" --quick```For more examples, read `TEST_CASES.md`.## Review NotesFor synthetic ToB delivery scenarios, read `FIELD_SCENARIOS.md`.## Field Rules- Prefer controls that can be tested in logs.- Never invent project metrics, customer names, corpus snippets, or exact improvement numbers.- If retrieval evidence is missing, say what logs are needed.- Treat refusal and human handoff as valid outcomes.

Frequently asked questions