[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F5N96KNB622TKA9TAPXY68":3,"skill-same:01M6F5N96KNB622TKA9TAPXY68":81},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":37,"commitSha":61,"skillDirectory":62,"forksCount":63,"repositoryHtmlUrl":64,"repositoryHomepageUrl":6,"ownerHtmlUrl":65,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":66,"install":67,"resources":80},"01M6F5N96KNB622TKA9TAPXY68","detect-ai-text",null,"Estimate whether a document's prose was written by AI, with the linguistic tells and honest abstention on non-prose. Use when the user asks whether an essay, report, CV, submission, or article was AI-generated — for triage, not proof.","boisenoise\u002Fskills-collections","boisenoise","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F193180?v=4","01M6CDBDQK6BDN55ZMA6B6PKBM","01M6CDBDVSJ3JPTBYN26FZ7TZK",13,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-detect-ai-text\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"text","detect ai text","detect ai","detect","critical","when","submission","for","essay","fact-checking","document-verification","with","cv","gemini","main","community","document","agent-skills","use","generated","license","verification","codex","2026-11-10 10:12:30",false,"---\nname: detect-ai-text\ndescription: Estimate whether a document's prose was written by AI, with the linguistic tells and honest abstention on non-prose. Use when the user asks whether an essay, report, CV, submission, or article was AI-generated — for triage, not proof.\ncategory: document-verification\nrisk: critical\nsource: community\nsource_repo: Sketchjar\u002Fstipple-agent-skills\nsource_type: community\ndate_added: \"2026-08-31\"\nauthor: Sketchjar\ntags: [document-verification, fact-checking, stipple, authenticity]\ntools: [claude, cursor, gemini, codex]\nlicense: \"Apache-2.0\"\nlicense_source: \"https:\u002F\u002Fgithub.com\u002FSketchjar\u002Fstipple-agent-skills\u002Fblob\u002Fmain\u002FLICENSE\"\n---\n\n# AI-Text Detection\n\nInspect a provider’s uncalibrated AI-style signal for a document’s prose, with the specific linguistic tells and an honest abstention when the document isn't prose. Uses an external Stipple API; verify current access, cost and privacy terms.\n\n## When to use\n\n- Educators screening student submissions\n- Publishers and platforms triaging inbound content\n- HR reviewing AI-drafted CVs (flag, don't reject)\n- Researchers checking source provenance\n\n## Instructions\n\n1. **Get the document.** URL, local file path (PDF, DOCX, TXT, MD), or raw text via `--text`.\n\n2. **Run detection.**\n\n   ```bash\n   curl --fail --show-error --silent --max-time 30 -X POST https:\u002F\u002Fwww.stipple.sh\u002Fv1\u002Fdetect-ai-text \\\n     -F \"file=@essay.pdf\" \\\n     -H \"Authorization: Bearer $STIPPLE_API_KEY\"\n   ```\n\n   For raw text: POST JSON `{\"text\": \"...\"}` to the same endpoint.\n\n3. **Interpret the response.**\n\n   - `applicable: false` — the document is not prose (forms, tables, scans, spreadsheets). Detection is **deliberately refused** rather than guessed. Report this and stop.\n   - `probability` — model confidence (0–1), NOT a calibrated truth\n   - `lean` — \"ai\" | \"human\" | \"unsure\"\n   - `tells[]` — the specific phrases\u002Fpatterns flagged (e.g. \"It is important to note that\", uniform sentence length, low burstiness)\n   - `reasoning` — why the model reached its verdict\n   - `limitations` — always present; the API states its own noise profile\n\n4. **Report honestly.** This measures *style, not authenticity*:\n\n   | Question | Tool |\n   |---|---|\n   | Was this *written* by AI? (style) | this skill |\n   | Is this document *genuine\u002Ftampered*? (forensics) | `verify-document` skill |\n\n   A human can write generically; an AI can write plainly. One triage signal, never a verdict.\n\n## Output format\n\n```\nProvider AI-style score: 0.87 (uncalibrated; lean: ai; not authorship proof)\nprose ratio: 0.82\n\nlinguistic tells:\n  - \"It is important to note that, in today's fast-paced world\" (stock phrase)\n  - uniform sentence length across paragraphs\n  - low burstiness; no authorial asides\n\nreasoning: The text relies entirely on formulaic transition clichés...\nlimitations: The probability is the model's CONFIDENCE, not a calibrated truth.\n```\n\n## Limitations and Safety\n\n- AI-text detection is probabilistic and can disproportionately flag templated,\n  coached, translated, accessibility-assisted, or non-native-English writing. Do\n  not use it as proof of misconduct or as the sole basis for employment, academic,\n  publishing, or disciplinary action.\n- Uploading a document sends its contents to a hosted third party. Obtain explicit\n  approval first, remove unnecessary personal or confidential material, and verify\n  the provider's current retention and deletion terms.\n- Preserve the original work and give the affected person a meaningful human review\n  and appeal path before any consequential decision.\n\n## Notes\n\n- Non-prose documents (forms, tables, payslips) get `applicable: false` — the engine refuses rather than guessing\n- Can false-flag templated\u002Fcoached or non-native-English writing — always present as one signal alongside human review\n- Verify current authentication\u002Fallowance on https:\u002F\u002Fwww.stipple.sh; do not guarantee a free anonymous tier or publish the submitted document.\n","# AI-Text Detection\n\nInspect a provider’s uncalibrated AI-style signal for a document’s prose, with the specific linguistic tells and an honest abstention when the document isn't prose. Uses an external Stipple API; verify current access, cost and privacy terms.\n\n## When to use\n\n- Educators screening student submissions\n- Publishers and platforms triaging inbound content\n- HR reviewing AI-drafted CVs (flag, don't reject)\n- Researchers checking source provenance\n\n## Instructions\n\n1. **Get the document.** URL, local file path (PDF, DOCX, TXT, MD), or raw text via `--text`.\n\n2. **Run detection.**\n\n   ```bash\n   curl --fail --show-error --silent --max-time 30 -X POST https:\u002F\u002Fwww.stipple.sh\u002Fv1\u002Fdetect-ai-text \\\n     -F \"file=@essay.pdf\" \\\n     -H \"Authorization: Bearer $STIPPLE_API_KEY\"\n   ```\n\n   For raw text: POST JSON `{\"text\": \"...\"}` to the same endpoint.\n\n3. **Interpret the response.**\n\n   - `applicable: false` — the document is not prose (forms, tables, scans, spreadsheets). Detection is **deliberately refused** rather than guessed. Report this and stop.\n   - `probability` — model confidence (0–1), NOT a calibrated truth\n   - `lean` — \"ai\" | \"human\" | \"unsure\"\n   - `tells[]` — the specific phrases\u002Fpatterns flagged (e.g. \"It is important to note that\", uniform sentence length, low burstiness)\n   - `reasoning` — why the model reached its verdict\n   - `limitations` — always present; the API states its own noise profile\n\n4. **Report honestly.** This measures *style, not authenticity*:\n\n   | Question | Tool |\n   |---|---|\n   | Was this *written* by AI? (style) | this skill |\n   | Is this document *genuine\u002Ftampered*? (forensics) | `verify-document` skill |\n\n   A human can write generically; an AI can write plainly. One triage signal, never a verdict.\n\n## Output format\n\n```\nProvider AI-style score: 0.87 (uncalibrated; lean: ai; not authorship proof)\nprose ratio: 0.82\n\nlinguistic tells:\n  - \"It is important to note that, in today's fast-paced world\" (stock phrase)\n  - uniform sentence length across paragraphs\n  - low burstiness; no authorial asides\n\nreasoning: The text relies entirely on formulaic transition clichés...\nlimitations: The probability is the model's CONFIDENCE, not a calibrated truth.\n```\n\n## Limitations and Safety\n\n- AI-text detection is probabilistic and can disproportionately flag templated,\n  coached, translated, accessibility-assisted, or non-native-English writing. Do\n  not use it as proof of misconduct or as the sole basis for employment, academic,\n  publishing, or disciplinary action.\n- Uploading a document sends its contents to a hosted third party. Obtain explicit\n  approval first, remove unnecessary personal or confidential material, and verify\n  the provider's current retention and deletion terms.\n- Preserve the original work and give the affected person a meaningful human review\n  and appeal path before any consequential decision.\n\n## Notes\n\n- Non-prose documents (forms, tables, payslips) get `applicable: false` — the engine refuses rather than guessing\n- Can false-flag templated\u002Fcoached or non-native-English writing — always present as one signal alongside human review\n- Verify current authentication\u002Fallowance on https:\u002F\u002Fwww.stipple.sh; do not guarantee a free anonymous tier or publish the submitted document.\n",{"name":5,"risk":27,"tags":51,"tools":54,"author":57,"source":38,"license":14,"category":33,"date_added":58,"description":7,"source_repo":59,"source_type":38,"license_source":60},[33,32,52,53],"stipple","authenticity",[55,56,36,45],"claude","cursor","Sketchjar","2026-08-31","Sketchjar\u002Fstipple-agent-skills","https:\u002F\u002Fgithub.com\u002FSketchjar\u002Fstipple-agent-skills\u002Fblob\u002Fmain\u002FLICENSE","7bf2279c8a65758319526a721d5c4b75683aec9c","skills\u002Fantigravity-detect-ai-text",3,"https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections","https:\u002F\u002Fgithub.com\u002Fboisenoise","2026-11-14 14:18:11",{"source":8,"skillName":5,"commands":68,"prompt":78,"zipAvailable":79},[69,72,75],{"tool":70,"command":71},"npx","npx skills add boisenoise\u002Fskills-collections --skill detect-ai-text",{"tool":73,"command":74},"bunx","bunx skills add boisenoise\u002Fskills-collections --skill detect-ai-text",{"tool":76,"command":77},"pnpm","pnpm dlx skills add boisenoise\u002Fskills-collections --skill detect-ai-text","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-detect-ai-text\u002FSKILL.md",true,[],[82,109,132,157,176,199],{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":86,"sourceHtmlUrl":87,"categories":88,"keywords":89,"publishedAt":46},"01M6WNH92BHVFXHGPDZCPJ0AG0","web-access","Use Treg for public web or platform data only when existing search, browser and connected tools cannot cover the task, with explicit cost and data boundaries.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-web-access\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-web-access\u002FSKILL.md",[],[90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,27,105,106,107,28,108],"web","access","web access","official","development","browser","search","data","Tools","read","fetch","only","youtube","free tools","platform","free","cover","normal","2026",{"skillNo":110,"name":111,"nameZh":6,"description":112,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":113,"sourceHtmlUrl":114,"categories":115,"keywords":119,"publishedAt":46},"01M6WNF9XAYAB2CZDDJBAKNM93","treg","Use the Treg CLI or MCP catalog to discover, price and call authorized external tools with team-scoped credentials and a user-approved budget.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-treg\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-treg\u002FSKILL.md",[116],{"categoryNo":117,"categoryName":118,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[111,120,121,122,93,94,43,98,123,124,125,126,41,127,128,27,129,34,130,131,108],"MCP","cli","github","Budget","credentials","team","catalog","call","discover","external tools","scoped","blob",{"skillNo":133,"name":134,"nameZh":6,"description":135,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":136,"sourceHtmlUrl":137,"categories":138,"keywords":144,"publishedAt":46},"01M6WN93MEAZ4E41DYAHJRPHQT","recruit","Turn a job description into an evidence-linked candidate shortlist through Treg, with job-related ranking and optional authorized business contact enrichment.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-recruit\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-recruit\u002FSKILL.md",[139],{"categoryNo":140,"categoryName":141,"taxonomyType":142,"taxonomyTypeDesc":143},"01JBSEEDCAT000000000000038","人力资源","PROFESSION","适用职业",[134,122,93,43,145,146,147,148,149,150,27,151,152,153,34,30,154,155,156,131,111,108],"https","email","enrichment","business","evidence","phone","ranking","post","job description","person","candidate","reason",{"skillNo":158,"name":159,"nameZh":6,"description":160,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":161,"sourceHtmlUrl":162,"categories":163,"keywords":164,"publishedAt":46},"01M6WN8R5RXSMHM9B4D9FAFX42","rea-growth","Analyze a company’s public growth and content through Treg, distinguish observations from hypotheses, and produce an evidence-linked playbook within an approved budget.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-rea-growth\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-rea-growth\u002FSKILL.md",[],[165,166,167,122,93,43,168,169,145,170,123,171,172,173,149,27,174,175,131,111,108],"growth","rea","rea growth","produce","content","playbook","marketing","analyze","public","observations","company",{"skillNo":177,"name":178,"nameZh":6,"description":179,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":180,"sourceHtmlUrl":181,"categories":182,"keywords":183,"publishedAt":46},"01M6WN2EVE3RQRGWAKBT4S7YT2","make-ugc","Create original AI UGC-style product videos through Treg: research hooks, approve a licensed presenter and voice, generate clips, add captions and report costs.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-make-ugc\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-make-ugc\u002FSKILL.md",[],[184,185,122,186,93,187,43,188,189,190,191,192,27,193,194,195,196,197,198,131],"make","make ugc","research","create","Video","Captions","ads","short","hooks","head","style","niche","trending","talking-head","approve",{"skillNo":200,"name":201,"nameZh":6,"description":202,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":203,"sourceHtmlUrl":204,"categories":205,"keywords":206,"publishedAt":46},"01M6WN10ARAA63Y8K1YNGXJ2RM","lead-signals","Find and qualify public buying signals through Treg, rank fitting business accounts and optionally enrich authorized business contact information.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-lead-signals\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-lead-signals\u002FSKILL.md",[],[207,208,209,122,93,43,210,211,148,212,213,27,214,215,216,217,218,219,220,131],"signals","lead","lead signals","how","find","ready","as","how to","qualify","people","information","enrich","changes","funding"]