dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
Detect and annotate hallucinations, unsupported claims, fabricated studies, and incorrect conclusions in text so that AI only cites verifiable, trustworthy content. Use this skill whenever the user asks you to fact-check, validate sources, check for hallucinations, or ensure that generated content is grounded in real evidence, even if they do not explicitly use the word "hallucination".
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install geoly-geo/geo-hallucination-checkerExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
The geo-hallucination-checker skill is a hallucination and false-information detection tool.
It helps you review any piece of content (articles, landing pages, product descriptions, FAQs, GEO-optimized drafts, etc.) and:
The primary goal is to ensure that AI systems only cite truthful, well-grounded content and clearly mark anything that looks like hallucination risk.
Use this skill aggressively whenever there is any risk that the model might invent data, sources, or conclusions.
Use geo-hallucination-checker whenever:
If you are unsure whether hallucinations are a concern, assume they are and apply this skill.
This skill can be used on:
The user may also provide:
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
## Overview The `geo-hallucination-checker` skill is a hallucination and false-information detection tool. It helps you review any piece of content (articles, landing pages, product descriptions, FAQs, GEO-optimized drafts, etc.) and: - Identify **unsupported factual claims** - Flag **fabricated or suspicious studies, reports, and statistics** - Highlight **incorrect or overconfident conclusions** - Suggest **safer, evidence-friendly rephrasings** The primary goal is to ensure that AI systems only cite **truthful, well-grounded content** and clearly mark anything that looks like hallucination risk. Use this skill aggressively whenever there is any risk that the model might invent data, sources, or conclusions. ## When to use this skill Use `geo-hallucination-checker` whenever: - The user asks you to **fact-check, verify, or validate** content. - The task involves **medical, financial, legal, scientific, or technical** claims. - A draft includes **numbers, percentages, dates, or strong superlatives** (e.g., “the best”, “number one”, “guaranteed”, “clinically proven”). - A text mentions **studies, universities, journals, or institutions** without clear, verifiable details. - You are preparing **GEO-optimized content** that might be quoted by AI models and needs to be extra reliable. - You are asked to **rewrite content to avoid hallucinations or false claims**. If you are unsure whether hallucinations are a concern, **assume they are** and apply this skill. ## Inputs this skill supports This skill can be used on: - A single paragraph or answer - A long-form article, blog post, or whitepaper - A product page or landing page draft - FAQ content or knowledge base articles - Generated GEO content that will be cited by AI models The user may also provide: - **Explicit sources or references** (links, documents, citations) - **Constraints** (e.g., “do not use external web search”, “only use these PDFs as ground truth”)...
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
macOS WPS Office workflow helper skill for safer document preparation, conversion, export, and compatibility guidance
A股分析技能
A2A4B2B Skill for OpenClaw