[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6C1PWRQYV3CGZGVBCZEAHE4":3,"skill-same:01M6C1PWRQYV3CGZGVBCZEAHE4":78},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":45,"repositoryHtmlUrl":46,"repositoryHomepageUrl":47,"ownerHtmlUrl":48,"ownerBlogUrl":49,"ownerDescription":50,"updatedAt":51,"install":52,"resources":65},"01M6C1PWRQYV3CGZGVBCZEAHE4","diversity-tuning",null,"Interactive tuning of Verbalized Sampling diversity parameters with preset management and A\u002FB comparison","jmagly\u002Faiwg","jmagly","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1159087?v=4","01M6C10AK8N2WCSQN11FYGTJWN","Joseph Magly","01M6C10AQ8A2RMED1Y1BSVY7NF",229,"MIT","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Faddons\u002Fverbalized-sampling\u002Fskills\u002Fdiversity-tuning\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32],"tuning","diversity tuning","diversity","preset","interactive","management","sampling","comparison","with","2026-11-10 10:12:30",false,"---\nnamespace: aiwg\nname: diversity-tuning\ndescription: Interactive tuning of Verbalized Sampling diversity parameters with preset management and A\u002FB comparison\nversion: 1.0.0\nplatforms: [all]\n\n---\n\n# Diversity Tuning Skill\n\n## Triggers\n\nAlternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):\n\n- \"mode collapse\" → RLHF pattern mitigation via diversity tuning\n- \"RLHF collapse\" → same\n- \"VS parameters\" → Verbalized Sampling parameter adjustment shorthand\n\n## Purpose\n\nInteractively tune Verbalized Sampling parameters to find the right diversity level for a given task.\n\n## Parameters\n\n| Parameter | Default | Range | Description |\n|-----------|---------|-------|-------------|\n| k | 5 | 3-20 | Number of responses to generate |\n| threshold | 0.1 | 0.01-1.0 | Probability filter threshold |\n| variant | standard | standard\u002Fcot\u002Fmulti | VS prompt variant |\n\n## Presets\n\n| Preset | k | threshold | variant | Use Case |\n|--------|---|-----------|---------|----------|\n| conservative | 3 | 1.0 | standard | Minimal diversity, high confidence |\n| moderate | 5 | 0.1 | standard | Balanced (default) |\n| creative | 8 | 0.05 | cot | High diversity for ideation |\n| maximum | 12 | 0.01 | multi | Maximum exploration |\n\n## Usage\n\n```\n# Apply a preset\n\"tune diversity to creative\"\n\n# Custom parameters\n\"set diversity k=8 threshold=0.05\"\n\n# A\u002FB comparison\n\"compare diversity: moderate vs creative for tagline generation\"\n```\n\n## A\u002FB Comparison Mode\n\nWhen comparing presets:\n1. Generate outputs using preset A\n2. Generate outputs using preset B\n3. Show side-by-side comparison\n4. Measure diversity metrics:\n   - Unique n-gram ratio\n   - Average pairwise edit distance\n   - Semantic cluster count\n5. Recommend the better preset for the task\n\n## References\n\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Faddons\u002Faiwg-utils\u002Frules\u002Fvague-discretion.md — Measurable diversity thresholds and tuning criteria\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Faddons\u002Faiwg-utils\u002Frules\u002Finstruction-comprehension.md — Parsing tuning parameters accurately\n- @$AIWG_ROOT\u002Fdocs\u002Fextensions\u002Foverview.md — Extension system architecture\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Faddons\u002Fvoice-framework\u002FREADME.md — Voice framework for style diversity context\n","# Diversity Tuning Skill\n\n## Triggers\n\nAlternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):\n\n- \"mode collapse\" → RLHF pattern mitigation via diversity tuning\n- \"RLHF collapse\" → same\n- \"VS parameters\" → Verbalized Sampling parameter adjustment shorthand\n\n## Purpose\n\nInteractively tune Verbalized Sampling parameters to find the right diversity level for a given task.\n\n## Parameters\n\n| Parameter | Default | Range | Description |\n|-----------|---------|-------|-------------|\n| k | 5 | 3-20 | Number of responses to generate |\n| threshold | 0.1 | 0.01-1.0 | Probability filter threshold |\n| variant | standard | standard\u002Fcot\u002Fmulti | VS prompt variant |\n\n## Presets\n\n| Preset | k | threshold | variant | Use Case |\n|--------|---|-----------|---------|----------|\n| conservative | 3 | 1.0 | standard | Minimal diversity, high confidence |\n| moderate | 5 | 0.1 | standard | Balanced (default) |\n| creative | 8 | 0.05 | cot | High diversity for ideation |\n| maximum | 12 | 0.01 | multi | Maximum exploration |\n\n## Usage\n\n```\n# Apply a preset\n\"tune diversity to creative\"\n\n# Custom parameters\n\"set diversity k=8 threshold=0.05\"\n\n# A\u002FB comparison\n\"compare diversity: moderate vs creative for tagline generation\"\n```\n\n## A\u002FB Comparison Mode\n\nWhen comparing presets:\n1. Generate outputs using preset A\n2. Generate outputs using preset B\n3. Show side-by-side comparison\n4. Measure diversity metrics:\n   - Unique n-gram ratio\n   - Average pairwise edit distance\n   - Semantic cluster count\n5. Recommend the better preset for the task\n\n## References\n\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Faddons\u002Faiwg-utils\u002Frules\u002Fvague-discretion.md — Measurable diversity thresholds and tuning criteria\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Faddons\u002Faiwg-utils\u002Frules\u002Finstruction-comprehension.md — Parsing tuning parameters accurately\n- @$AIWG_ROOT\u002Fdocs\u002Fextensions\u002Foverview.md — Extension system architecture\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Faddons\u002Fvoice-framework\u002FREADME.md — Voice framework for style diversity context\n",{"name":5,"version":38,"namespace":39,"platforms":40,"description":7},"1.0.0","aiwg",[41],"all","main","6754967c344ccb087a8de06972f55a41067b291b","agentic\u002Fcode\u002Faddons\u002Fverbalized-sampling\u002Fskills\u002Fdiversity-tuning",36,"https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg","https:\u002F\u002Faiwg.io","https:\u002F\u002Fgithub.com\u002Fjmagly","https:\u002F\u002Fintegrolabs.io","ml\u002Fai, industrial automation, safety\u002Fsecurity, ssi\r\n\r\nmagly.net\r\nintegrolabs.io\r\naiwg.io\r\nfortemi.com\r\npagenary.com\r\nbytecask.com","2026-11-12 21:57:33",{"source":8,"skillName":5,"commands":53,"prompt":63,"zipAvailable":64},[54,57,60],{"tool":55,"command":56},"npx","npx skills add jmagly\u002Faiwg --skill diversity-tuning",{"tool":58,"command":59},"bunx","bunx skills add jmagly\u002Faiwg --skill diversity-tuning",{"tool":61,"command":62},"pnpm","pnpm dlx skills add jmagly\u002Faiwg --skill diversity-tuning","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Faddons\u002Fverbalized-sampling\u002Fskills\u002Fdiversity-tuning\u002FSKILL.md",true,[66,72],{"path":67,"resourceType":68,"resourceTypeDesc":69,"sizeBytes":70,"sourceHtmlUrl":71},"sections\u002Fpreamble.md","REFERENCE","参考文档",22396,"https:\u002F\u002Fgithub.com\u002Fgarrytan\u002Fgstack\u002Fblob\u002Fmain\u002Feval-plan\u002Fsections\u002Fpreamble.md",{"path":73,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":76,"sourceHtmlUrl":77},"SKILL.md.tmpl","OTHER","其他",15243,"https:\u002F\u002Fgithub.com\u002Fgarrytan\u002Fgstack\u002Fblob\u002Fmain\u002Feval-plan\u002FSKILL.md.tmpl",[79,107,131,137,144,158],{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":86,"publishedAt":33},"01M70QA0BSYJ49EES9V4RE8QH1","host-hardening","Read-only system hardening baseline and plan-first host hardening recommendations for SSH, Docker bind addresses, firewall persistence, datastores, exporters and audit retention.","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Fplugins\u002Fsecurity-engineering\u002Fskills\u002Fhost-hardening\u002FSKILL.md",[85],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106],"host","host hardening","hardening","read","re","recommendations","remediation","plan","port","verification","Bash","access","only","retention","audit","never","firewall","bind","secrets","request",{"skillNo":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":117,"publishedAt":33},"01M70PNT2Z4HMZPRBTAF6073NN","exposure-analysis","Read-only firewall analysis and effective host exposure reconstruction for Docker published ports, UFW bypass, stale rules, CDN scope, IPv6 asymmetry and external probe allowlists.","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Fplugins\u002Fforensics\u002Fskills\u002Fexposure-analysis\u002FSKILL.md",[113,116],{"categoryNo":114,"categoryName":115,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[118,119,120,90,121,95,122,123,97,124,87,125,99,126,127,102,103,128,129,130],"exposure analysis","analysis","unknown","credentials","collection","ufw","ports","internet","local","scope","reconstruction","operator","write",{"skillNo":132,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":136,"publishedAt":33},"01M70P8QATMPKA78E4FT5D2TNA","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Fframeworks\u002Fsecurity-engineering\u002Fskills\u002Fhost-hardening\u002FSKILL.md",[135],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[89,87,88,98,90,106,93,92,101,94,95,96,97,105,99,100,91,102,103,104],{"skillNo":138,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":139,"categories":140,"keywords":143,"publishedAt":33},"01M70NMPVJ5H0JH131P60FW4R8","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Fframeworks\u002Fforensics-complete\u002Fskills\u002Fexposure-analysis\u002FSKILL.md",[141,142],{"categoryNo":114,"categoryName":115,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[119,118,102,121,95,122,97,120,87,125,99,126,127,90,103,124,123,128,129,130],{"skillNo":145,"name":146,"nameZh":6,"description":147,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":148,"categories":149,"keywords":151,"publishedAt":33},"01M6CB4DDR0B4NNCFK7ZK7449H","fixture-skill","Exercise rule delivery.","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Ftest\u002Ffixtures\u002Frule-delivery\u002Fskills\u002Ffixture-skill\u002FSKILL.md",[150],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[152,153,154,155,156,157],"fixture skill","fixture","rule","delivery","true","exercise",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":165,"publishedAt":33},"01M6CB4AVK1W76MFMPP0JP32CJ","pi-local","Pi-local duplicate-precedence fixture.","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Ftest\u002Ffixtures\u002Fproviders\u002Fpi\u002Fproject\u002F.pi\u002Fskills\u002Fpi-local\u002FSKILL.md",[164],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[166,167,126,168,153],"pi","pi local","duplicate"]