Info Trust Check v7
Description
Check the trustworthiness of AI responses. Supports @-referencing documents or directly verifying current conversation content. Results are shown in the chat by default; only prompts for generating a work when the content is lengthy or important. v7 adds: flexible input sources and smart output strategies. v7 is the result of multiple rounds of refinement, overcoming many edge cases, making it ideal for verifying critical information. Multi-factor verification: source independence, quantity, and authority; detection of logical inconsistencies in outputs; domain relevance checks; cross-reference of Chinese and English sources.
Related Skills
View all
Fact Check
Hand any opinion, conclusion, data point, or proposal to an AI fact-checker: online source tracing, five-level credibility ratings, and reasoning-chain analysis—followed by a fact-check report you can share directly. 【What it does】Paste any claim, and the skill completes three checks automatically: 🔍 Break it down—separates the claim into “verifiable facts / inferred conclusions / value judgments,” keeping positions distinct from facts 🌐 Trace sources online—verifies sources, samples, statistical definitions, dates, and full context point by point, with cross-checking across multiple channels 🧩 Check the reasoning chain—identifies hidden assumptions, correlation-versus-causation errors, omitted alternative explanations, and the conditions under which the conclusion holds or fails 【Why choose it】 ✅ Five-level credibility ratings: Confirmed / Generally sound but should be narrowed / Contested / Insufficient evidence / Clearly false, with source links for every item ✅ Four-part report: Reliable facts and corrections / The most critical flaws in the reasoning chain / The strongest revised version / How much you can trust it ✅ No made-up answers: When a claim cannot be verified, it is honestly marked “Insufficient evidence” instead of being passed off as “possibly true” ✅ Report-ready output: Share it directly with readers, clients, or your community 【Who it’s for】Independent media and content creators, investors and analysts, students and researchers, and anyone who needs to quickly decide whether a statement can be trusted. 【How to use it】Paste the claim you want checked—anything from one sentence to a paragraph. For example, enter “People with Hashimoto’s thyroiditis often have low energy” to get a source-backed, tiered fact-check report. ⚠️ For medical, legal, investment, and other professional questions, use this for information verification only and rely on qualified professionals for advice.
WriteAIGC Reduction & Rewrite v7.0
📚 Academic Paper AIGC Reduction and Quality-Preserving Rewriting Expert v7.0 Designed for graduate students, researchers, and paper authors, this academic text optimization skill operates on a core closed loop of 'source control → process correction → result verification → reverse self-check → iterative re-check'. It systematically diagnoses and optimizes issues such as templated expressions, mechanical logic, vague content, inaccurate terminology, and style inconsistencies while preserving original meaning, technical terms, data, and core conclusions. 🔍📝 🌟 Core Capabilities 🔬 Multi-layer Risk Diagnosis Covers 10 types of universal text fingerprints and assists in identifying common expression patterns of models such as ChatGPT, Claude, DeepSeek, and Wenxin Yiyan. 🧠 Deep Semantic Restructuring Goes beyond synonym replacement to rebuild more natural and in-depth academic reasoning by adjusting proposition expression, information order, argument approach, and evidence organization. ✍️ Quality-Preserving Rewriting Comprehensively applies 13 sentence transformation strategies and 20 methods for cleaning high-frequency templated expressions, improving mechanical sentence structures, repetitive connectors, and overly rigid formatting. 📊 Full-text Structure Diagnosis Through macro-cycle and five key triangles, checks whether research problems, theory, literature review, methods, results, conclusions, and innovation form a complete closed loop. 🧩 Fine-grained Section Adaptation Develops differentiated diagnostic and rewriting strategies for abstract, introduction, literature review, research methods, results, discussion, and conclusion respectively. 🌐 Cross-language Risk Scanning Assists in identifying translationese, passive voice stacking, long sentence nesting, and mixed Chinese-English formatting abnormalities to make Chinese academic expression more natural and accurate. 🔄 Reverse Self-check Loop After rewriting, re-verifies from three aspects: technique distribution, new text fingerprints, and information integrity, to avoid 'becoming more templated' or losing key content. 🛡️ Academic Integrity Protection Does not fabricate literature, data, cases, or policy evidence; separately marks information requiring author verification and reminds users to honestly disclose AI usage. 🎯 Use Cases ✅ Single paragraph or partial section optimization ✅ Targeted modification of marked paragraphs from inspection reports ✅ Polishing of abstract, introduction, literature review, discussion, and conclusion ✅ Full-text AIGC risk feature diagnosis ✅ Language and structure adaptation for target journals ✅ Pre-submission quality review and consistency check 📦 Final Deliverables 📄 Quality-preserving rewritten text 🔎 Risk and issue diagnosis report 🛠️ Rewriting strategy and technique description ✅ Reverse self-check and information integrity report 💡 Items requiring author verification and subsequent revision suggestions 🎓 Original meaning preserved · Logic intact · No fabricated data · Academic quality maintained ⚠️ This skill aims to improve academic expression quality and reduce text risk features. It does not guarantee passage through any specific detection platform or achieving a particular detection score.
ResearchAuthority Information Verifier
Based on the user's question, it conducts multi-source searches across the internet, cross-verifies information authenticity and authority, filters out ads and spam, delivers trusted answers or the most probable correct answer, and provides credibility ratings and alternative perspectives.
Info Trust Check v7
Description
Check the trustworthiness of AI responses. Supports @-referencing documents or directly verifying current conversation content. Results are shown in the chat by default; only prompts for generating a work when the content is lengthy or important. v7 adds: flexible input sources and smart output strategies. v7 is the result of multiple rounds of refinement, overcoming many edge cases, making it ideal for verifying critical information. Multi-factor verification: source independence, quantity, and authority; detection of logical inconsistencies in outputs; domain relevance checks; cross-reference of Chinese and English sources.
Related Skills
View allFact Check
Hand any opinion, conclusion, data point, or proposal to an AI fact-checker: online source tracing, five-level credibility ratings, and reasoning-chain analysis—followed by a fact-check report you can share directly. 【What it does】Paste any claim, and the skill completes three checks automatically: 🔍 Break it down—separates the claim into “verifiable facts / inferred conclusions / value judgments,” keeping positions distinct from facts 🌐 Trace sources online—verifies sources, samples, statistical definitions, dates, and full context point by point, with cross-checking across multiple channels 🧩 Check the reasoning chain—identifies hidden assumptions, correlation-versus-causation errors, omitted alternative explanations, and the conditions under which the conclusion holds or fails 【Why choose it】 ✅ Five-level credibility ratings: Confirmed / Generally sound but should be narrowed / Contested / Insufficient evidence / Clearly false, with source links for every item ✅ Four-part report: Reliable facts and corrections / The most critical flaws in the reasoning chain / The strongest revised version / How much you can trust it ✅ No made-up answers: When a claim cannot be verified, it is honestly marked “Insufficient evidence” instead of being passed off as “possibly true” ✅ Report-ready output: Share it directly with readers, clients, or your community 【Who it’s for】Independent media and content creators, investors and analysts, students and researchers, and anyone who needs to quickly decide whether a statement can be trusted. 【How to use it】Paste the claim you want checked—anything from one sentence to a paragraph. For example, enter “People with Hashimoto’s thyroiditis often have low energy” to get a source-backed, tiered fact-check report. ⚠️ For medical, legal, investment, and other professional questions, use this for information verification only and rely on qualified professionals for advice.
WriteAIGC Reduction & Rewrite v7.0
📚 Academic Paper AIGC Reduction and Quality-Preserving Rewriting Expert v7.0 Designed for graduate students, researchers, and paper authors, this academic text optimization skill operates on a core closed loop of 'source control → process correction → result verification → reverse self-check → iterative re-check'. It systematically diagnoses and optimizes issues such as templated expressions, mechanical logic, vague content, inaccurate terminology, and style inconsistencies while preserving original meaning, technical terms, data, and core conclusions. 🔍📝 🌟 Core Capabilities 🔬 Multi-layer Risk Diagnosis Covers 10 types of universal text fingerprints and assists in identifying common expression patterns of models such as ChatGPT, Claude, DeepSeek, and Wenxin Yiyan. 🧠 Deep Semantic Restructuring Goes beyond synonym replacement to rebuild more natural and in-depth academic reasoning by adjusting proposition expression, information order, argument approach, and evidence organization. ✍️ Quality-Preserving Rewriting Comprehensively applies 13 sentence transformation strategies and 20 methods for cleaning high-frequency templated expressions, improving mechanical sentence structures, repetitive connectors, and overly rigid formatting. 📊 Full-text Structure Diagnosis Through macro-cycle and five key triangles, checks whether research problems, theory, literature review, methods, results, conclusions, and innovation form a complete closed loop. 🧩 Fine-grained Section Adaptation Develops differentiated diagnostic and rewriting strategies for abstract, introduction, literature review, research methods, results, discussion, and conclusion respectively. 🌐 Cross-language Risk Scanning Assists in identifying translationese, passive voice stacking, long sentence nesting, and mixed Chinese-English formatting abnormalities to make Chinese academic expression more natural and accurate. 🔄 Reverse Self-check Loop After rewriting, re-verifies from three aspects: technique distribution, new text fingerprints, and information integrity, to avoid 'becoming more templated' or losing key content. 🛡️ Academic Integrity Protection Does not fabricate literature, data, cases, or policy evidence; separately marks information requiring author verification and reminds users to honestly disclose AI usage. 🎯 Use Cases ✅ Single paragraph or partial section optimization ✅ Targeted modification of marked paragraphs from inspection reports ✅ Polishing of abstract, introduction, literature review, discussion, and conclusion ✅ Full-text AIGC risk feature diagnosis ✅ Language and structure adaptation for target journals ✅ Pre-submission quality review and consistency check 📦 Final Deliverables 📄 Quality-preserving rewritten text 🔎 Risk and issue diagnosis report 🛠️ Rewriting strategy and technique description ✅ Reverse self-check and information integrity report 💡 Items requiring author verification and subsequent revision suggestions 🎓 Original meaning preserved · Logic intact · No fabricated data · Academic quality maintained ⚠️ This skill aims to improve academic expression quality and reduce text risk features. It does not guarantee passage through any specific detection platform or achieving a particular detection score.
ResearchAuthority Information Verifier
Based on the user's question, it conducts multi-source searches across the internet, cross-verifies information authenticity and authority, filters out ads and spam, delivers trusted answers or the most probable correct answer, and provides credibility ratings and alternative perspectives.
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