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Provides content originality analysis to help identify copied content and machine-generated text.\n\n## Use Cases\n\nUse this skill when users mention \"plagiarism check,\" \"detect plagiarism,\" \"check AI rate,\" \"article originality,\" \"text originality detection,\" \"content originality degree,\" or request similarity/AI rate analysis for a piece of text.\n\n## Core Script\n\nUse `scripts/check_plagiarism.py` to perform detection:\n\n```bash\npython scripts/check_plagiarism.py --text \"Text content to detect\"\n```\n\nOptional parameters:\n- `--text`: Text to detect (required, or use `--file`)\n- `--file`: Read text from file (.txt, .md, .docx)\n- `--output`: Output report path (prints to terminal by default)\n\n**Windows Example:**\n```powershell\npython scripts/check_plagiarism.py --text \"Your text here...\"\n```\n\n## Output Format\n\nThe script returns a structured report:\n```\n=== Originality Detection Report ===\nOriginality Score: 92%\nAI Generation Probability: 12%\n\n[Paragraph Analysis]\n  ✓ Paragraph 1: Original content, no match\n  ⚠ Paragraph 2: 47% similarity, rewriting recommended\n  ⚠ Paragraph 3: 31% AI generation probability\n```\n\n## References\n\n- `references/detection-guide.md` — Detection methods, threshold standards, and best practices\n- `references/report-template.md` — Report template and examples\n\n## Workflow\n\n1. **Collect Text**: User pastes text or uploads a file\n2. **Execute Detection**: Run `check_plagiarism.py`\n3. **Interpret Report**: Provide recommendations based on originality score and AI probability\n4. **Provide Rewriting Suggestions**: Offer optimization advice for low-scoring paragraphs\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn75qrtb885pznwsjwsh18dvf1813bv0\",\n  \"slug\": \"plagiarism-checker\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1776218566794\n}\n\nFile v1.0.0:references/detection-guide.md\n\n# Detection Guide\n\n## Detection Threshold Standards\n\n| Originality | AI Probability | Risk Level | Recommendation |\n|-------------|----------------|------------|----------------|\n| ≥ 85% | < 20% | 🟢 Low Risk | Pass, suitable for submission |\n| 60–84% | 20–50% | 🟡 Medium Risk | Recommend rewriting high-similarity paragraphs |\n| 30–59% | 50–75% | 🟠 High Risk | Requires substantial rewriting or addition of original content |\n| < 30% | > 75% | 🔴 Extremely High Risk | Severe plagiarism or nearly pure AI generation |\n\n## Detection Methods\n\n### 1. String Matching (SimHash / n-gram)\n- Segment text into n-gram phrases (n=3~5)\n- Compute SimHash fingerprints\n- Compare against pre-built database, calculate Hamming distance\n\n### 2. AI Generation Detection (Statistical Features)\n- **Perplexity**: The difficulty level for a language model to predict the text\n- **Burstiness**: Variance in sentence length; high burstiness = more human-like\n- **Vocabulary Distribution**: AI tends to use high-frequency words; human vocabulary is more dispersed\n\n### 3. Semantic Similarity (Sentence Transformers)\n- Use `all-MiniLM-L6-v2` to compute sentence vectors\n- Cosine similarity > 0.85 is considered highly similar\n\n## Best Practices\n\n1. Text must be **at least 100 words** for statistical significance\n2. **Quoted portions** will be flagged; sources must be noted in the report\n3. **Technical terminology** may produce false positives (universally used academic terms)\n4. **Hybrid detection** is more accurate than any single method\n\nFile v1.0.0:references/report-template.md\n\n# Detection Report Template\n\n## Report Structure\n\n```\n═══════════════════════════════════════════════════════════\n                Content Originality & AI Detection Report\n═══════════════════════════════════════════════════════════\n\n📝 Text Overview\n  Word Count: {word_count}\n  Character Count: {char_count}\n  Paragraph Count: {para_count}\n\n📊 Comprehensive Score\n  Originality: {originality}%\n  AI Generation Probability: {ai_prob}%\n  Risk Level: {risk_emoji} {risk_level}\n\n───────────────────────────────────────────────────────────\nParagraph Analysis\n───────────────────────────────────────────────────────────\n{paragraph_analysis}\n\n───────────────────────────────────────────────────────────\nRecommendations\n───────────────────────────────────────────────────────────\n{recommendations}\n\n═══════════════════════════════════════════════════════════\n              Report Generated: {timestamp}\n═══════════════════════════════════════════════════════════\n```\n\n## Example Report\n\n```\n═══════════════════════════════════════════════════════════\n                Content Originality & AI Detection Report\n═══════════════════════════════════════════════════════════\n\n📝 Text Overview\n  Word Count: 486\n  Character Count: 2341\n  Paragraph Count: 4\n\n📊 Comprehensive Score\n  Originality: 78%\n  AI Generation Probability: 35%\n  Risk Level: 🟡 Medium Risk\n\n───────────────────────────────────────────────────────────\nParagraph Analysis\n───────────────────────────────────────────────────────────\n  ✅ Paragraph 1 (0-120 words): Original content, no significant match\n  ⚠️ Paragraph 2 (121-280 words): 42% similarity\n     Match Source: Web/article-123 (38%), Blog/tech-post (4%)\n  ⚠️ Paragraph 3 (281-390 words): 51% AI probability\n     Features: Low burstiness, high-frequency vocabulary, mechanical sentence patterns\n  ✅ Paragraph 4 (391-486 words): Original content, no significant match\n\n───────────────────────────────────────────────────────────\nRecommendations\n───────────────────────────────────────────────────────────\n  1. Paragraph 2: Recommend rewriting, add personal analysis and unique perspective\n  2. Paragraph 3: Recommend enriching sentence variety, incorporating specific examples\n  3. Overall: Add more original viewpoints and firsthand experience\n\n═══════════════════════════════════════════════════════════\n              Report Generated: 2026-04-13 11:10 CST\n═══════════════════════════════════════════════════════════\n```\n\n## Rewriting Suggestion Template\n\nFor each high-risk paragraph, provide:\n1. **Problem Description**: \"This paragraph has X% similarity with a certain source\"\n2. **Rewriting Direction**: \"Recommend re-articulating from the perspective of personal experience / cases / data\"\n3. **Example Phrasing**: Provide 2-3 rewriting examples\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nDetect text originality and AI-generated content.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[openlark](https://clawhub.ai/user/openlark)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users, developers, and content reviewers use this skill to screen text or local files for originality, AI-generation probability, paragraph-level risk, and rewriting recommendations.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Originality and AI-generation results are heuristic and may be inaccurate.\n\nMitigation: Use results as screening guidance only, and require human review before making academic, legal, or disciplinary decisions.\n\nRisk: The skill reads user-provided local files.\n\nMitigation: Provide only files intended for analysis and avoid submitting sensitive or unrelated content.\n\nRisk: Some documented options and detection methods may be inaccurate or not implemented.\n\nMitigation: Confirm supported command-line options before use and disclose any unsupported workflow steps to the user.\n\n## Reference(s):\n\n- [Detection Guide](references/detection-guide.md)\n- [Detection Report Template](references/report-template.md)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, shell commands, guidance]\n\n**Output Format:** [Markdown guidance with terminal report text and inline shell commands]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Originality score, AI-generation probability, paragraph-level flags, and recommendations are heuristic and should be reviewed by a person.]\n\n## Skill Version(s):\n\n1.0.0 (source: release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.","readmeExcerpt":"Skill: Plagiarism Checker Owner: openlark Summary: Detect text originality and AI-generated content. Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-15T02:02:46.794Z | user - Initial release of the plagiarism-checker skill. - Detects text originality and identifies AI-generated content. - Provides structured reports with originality scores, AI generation probability, and paragraph-level analysis. - Accepts input","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"python scripts/check_plagiarism.py --text \"Text content to detect\""},{"language":"powershell","snippet":"python scripts/check_plagiarism.py --text \"Your text here...\""},{"language":"text","snippet":"=== Originality Detection Report ===\nOriginality Score: 92%\nAI Generation Probability: 12%\n\n[Paragraph Analysis]\n  ✓ Paragraph 1: Original content, no match\n  ⚠ Paragraph 2: 47% similarity, rewriting recommended\n  ⚠ Paragraph 3: 31% AI generation probability"},{"language":"text","snippet":"═══════════════════════════════════════════════════════════\n                Content Originality & AI Detection Report\n═══════════════════════════════════════════════════════════\n\n📝 Text Overview\n  Word Count: {word_count}\n  Character Count: {char_count}\n  Paragraph Count: {para_count}\n\n📊 Comprehensive Score\n  Originality: {originality}%\n  AI Generation Probability: {ai_prob}%\n  Risk Level: {risk_emoji} {risk_level}\n\n───────────────────────────────────────────────────────────\nParagraph Analysis\n───────────────────────────────────────────────────────────\n{paragraph_analysis}\n\n───────────────────────────────────────────────────────────\nRecommendations\n───────────────────────────────────────────────────────────\n{recommendations}\n\n═══════════════════════════════════════════════════════════\n              Report Generated: {timestamp}\n═══════════════════════════════════════════════════════════"},{"language":"text","snippet":"═══════════════════════════════════════════════════════════\n                Content Originality & AI Detection Report\n═══════════════════════════════════════════════════════════\n\n📝 Text Overview\n  Word Count: 486\n  Character Count: 2341\n  Paragraph Count: 4\n\n📊 Comprehensive Score\n  Originality: 78%\n  AI Generation Probability: 35%\n  Risk Level: 🟡 Medium Risk\n\n───────────────────────────────────────────────────────────\nParagraph Analysis\n───────────────────────────────────────────────────────────\n  ✅ Paragraph 1 (0-120 words): Original content, no significant match\n  ⚠️ Paragraph 2 (121-280 words): 42% similarity\n     Match Source: Web/article-123 (38%), Blog/tech-post (4%)\n  ⚠️ Paragraph 3 (281-390 words): 51% AI probability\n     Features: Low burstiness, high-frequency vocabulary, mechanical sentence patterns\n  ✅ Paragraph 4 (391-486 words): Original content, no significant match\n\n───────────────────────────────────────────────────────────\nRecommendations\n───────────────────────────────────────────────────────────\n  1. Paragraph 2: Recommend rewriting, add personal analysis and unique perspective\n  2. Paragraph 3: Recommend enriching sentence variety, incorporating specific examples\n  3. Overall: Add more original viewpoints and firsthand experience\n\n═══════════════════════════════════════════════════════════\n              Report Generated: 2026-04-13 11:10 CST\n═══════════════════════════════════════════════════════════"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: plagiarism-checker\ndescription: Detect text originality and AI-generated content.\n---\n\n# Plagiarism Checker\n\nDetect whether text is plagiarized or AI-generated. Provides content originality analysis to help identify copied content and machine-generated text.\n\n## Use Cases\n\nUse this skill when users mention \"plagiarism check,\" \"detect plagiarism,\" \"check AI rate,\" \"article originality,\" \"text originality detection,\" \"content originality degree,\" or request similarity/AI rate analysis for a piece of text.\n\n## Core Script\n\nUse `scripts/check_plagiarism.py` to perform detection:\n\n```bash\npython scripts/check_plagiarism.py --text \"Text content to detect\"\n```\n\nOptional parameters:\n- `--text`: Text to detect (required, or use `--file`)\n- `--file`: Read text from file (.txt, .md, .docx)\n- `--output`: Output report path (prints to terminal by default)\n\n**Windows Example:**\n```powershell\npython scripts/check_plagiarism.py --text \"Your text here...\"\n```\n\n## Output Format\n\nThe script returns a structured report:\n```\n=== Originality Detection Report ===\nOriginality Score: 92%\nAI Generation Probability: 12%\n\n[Paragraph Analysis]\n  ✓ Paragraph 1: Original content, no match\n  ⚠ Paragraph 2: 47% similarity, rewriting recommended\n  ⚠ Paragraph 3: 31% AI generation probability\n```\n\n## References\n\n- `references/detection-guide.md` — Detection methods, threshold standards, and best practices\n- `references/report-template.md` — Report template and examples\n\n## Workflow\n\n1. **Collect Text**: User pastes text or uploads a file\n2. **Execute Detection**: Run `check_plagiarism.py`\n3. **Interpret Report**: Provide recommendations based on originality score and AI probability\n4. **Provide Rewriting Suggestions**: Offer optimization advice for low-scoring paragraphs"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn75qrtb885pznwsjwsh18dvf1813bv0\",\n  \"slug\": \"plagiarism-checker\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1776218566794\n}"},{"path":"references/detection-guide.md","content":"# Detection Guide\n\n## Detection Threshold Standards\n\n| Originality | AI Probability | Risk Level | Recommendation |\n|-------------|----------------|------------|----------------|\n| ≥ 85% | < 20% | 🟢 Low Risk | Pass, suitable for submission |\n| 60–84% | 20–50% | 🟡 Medium Risk | Recommend rewriting high-similarity paragraphs |\n| 30–59% | 50–75% | 🟠 High Risk | Requires substantial rewriting or addition of original content |\n| < 30% | > 75% | 🔴 Extremely High Risk | Severe plagiarism or nearly pure AI generation |\n\n## Detection Methods\n\n### 1. String Matching (SimHash / n-gram)\n- Segment text into n-gram phrases (n=3~5)\n- Compute SimHash fingerprints\n- Compare against pre-built database, calculate Hamming distance\n\n### 2. AI Generation Detection (Statistical Features)\n- **Perplexity**: The difficulty level for a language model to predict the text\n- **Burstiness**: Variance in sentence length; high burstiness = more human-like\n- **Vocabulary Distribution**: AI tends to use high-frequency words; human vocabulary is more dispersed\n\n### 3. Semantic Similarity (Sentence Transformers)\n- Use `all-MiniLM-L6-v2` to compute sentence vectors\n- Cosine similarity > 0.85 is considered highly similar\n\n## Best Practices\n\n1. Text must be **at least 100 words** for statistical significance\n2. **Quoted portions** will be flagged; sources must be noted in the report\n3. **Technical terminology** may produce false positives (universally used academic terms)\n4. **Hybrid detection** is more accurate than any single method"},{"path":"references/report-template.md","content":"# Detection Report Template\n\n## Report Structure\n\n```\n═══════════════════════════════════════════════════════════\n                Content Originality & AI Detection Report\n═══════════════════════════════════════════════════════════\n\n📝 Text Overview\n  Word Count: {word_count}\n  Character Count: {char_count}\n  Paragraph Count: {para_count}\n\n📊 Comprehensive Score\n  Originality: {originality}%\n  AI Generation Probability: {ai_prob}%\n  Risk Level: {risk_emoji} {risk_level}\n\n───────────────────────────────────────────────────────────\nParagraph Analysis\n───────────────────────────────────────────────────────────\n{paragraph_analysis}\n\n───────────────────────────────────────────────────────────\nRecommendations\n───────────────────────────────────────────────────────────\n{recommendations}\n\n═══════════════════════════════════════════════════════════\n              Report Generated: {timestamp}\n═══════════════════════════════════════════════════════════\n```\n\n## Example Report\n\n```\n═══════════════════════════════════════════════════════════\n                Content Originality & AI Detection Report\n═══════════════════════════════════════════════════════════\n\n📝 Text Overview\n  Word Count: 486\n  Character Count: 2341\n  Paragraph Count: 4\n\n📊 Comprehensive Score\n  Originality: 78%\n  AI Generation Probability: 35%\n  Risk Level: 🟡 Medium Risk\n\n───────────────────────────────────────────────────────────\nParagraph Analysis\n───────────────────────────────────────────────────────────\n  ✅ Paragraph 1 (0-120 words): Original content, no significant match\n  ⚠️ Paragraph 2 (121-280 words): 42% similarity\n     Match Source: Web/article-123 (38%), Blog/tech-post (4%)\n  ⚠️ Paragraph 3 (281-390 words): 51% AI probability\n     Features: Low burstiness, high-frequency vocabulary, mechanical sentence patterns\n  ✅ Paragraph 4 (391-486 words): Original content, no significant match\n\n───────────────────────────────────────────────────────────\nRecommendations\n───────────────────────────────────────────────────────────\n  1. Paragraph 2: Recommend rewriting, add personal analysis and unique perspective\n  2. Paragraph 3: Recommend enriching sentence variety, incorporating specific examples\n  3. Overall: Add more original viewpoints and firsthand experience\n\n═══════════════════════════════════════════════════════════\n              Report Generated: 2026-04-13 11:10 CST\n═══════════════════════════════════════════════════════════\n```\n\n## Rewriting Suggestion Template\n\nFor each high-risk paragraph, provide:\n1. **Problem Description**: \"This paragraph has X% similarity with a certain source\"\n2. **Rewriting Direction**: \"Recommend re-articulating from the perspective of personal experience / cases / data\"\n3. **Example Phrasing**: Provide 2-3 rewriting examples"},{"path":"skill-card.md","content":"## Description:\n\nDetect text originality and AI-generated content.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[openlark](https://clawhub.ai/user/openlark)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users, developers, and content reviewers use this skill to screen text or local files for originality, AI-generation probability, paragraph-level risk, and rewriting recommendations.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Originality and AI-generation results are heuristic and may be inaccurate.\n\nMitigation: Use results as screening guidance only, and require human review before making academic, legal, or disciplinary decisions.\n\nRisk: The skill reads user-provided local files.\n\nMitigation: Provide only files intended for analysis and avoid submitting sensitive or unrelated content.\n\nRisk: Some documented options and detection methods may be inaccurate or not implemented.\n\nMitigation: Confirm supported command-line options before use and disclose any unsupported workflow steps to the user.\n\n## Reference(s):\n\n- [Detection Guide](references/detection-guide.md)\n- [Detection Report Template](references/report-template.md)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, shell commands, guidance]\n\n**Output Format:** [Markdown guidance with terminal report text and inline shell commands]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Originality score, AI-generation probability, paragraph-level flags, and recommendations are heuristic and should be reviewed by a person.]\n\n## Skill Version(s):\n\n1.0.0 (source: release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Detect text originality and AI-generated content. Skill: Plagiarism Checker Owner: openlark Summary: Detect text originality and AI-generated content. 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