[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WS5D2AWHZ42BCD79WC37S0":3,"skill-same:01M6WS5D2AWHZ42BCD79WC37S0":79},{"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":45,"linkOnly":46,"markdownContent":47,"markdownBody":48,"frontMatter":49,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":60,"ownerHtmlUrl":61,"ownerBlogUrl":62,"ownerDescription":63,"updatedAt":64,"install":65,"resources":78},"01M6WS5D2AWHZ42BCD79WC37S0","wage-recon",null,"Read-only audit of current compensation structure, bands, compa-ratios, and exceptions. Use when asked to \"audit our comp\", \"are we paying fairly\", or \"review pay bands\".","tonone-ai\u002Ftonone","tonone-ai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252718527?v=4","01M6E0753HQVTQWJCQCV4AHAAS","tonone.ai","01M6E075828PMH1WMX0VEB5SV8",77,"MIT","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fwage-recon\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"wage recon","recon","structure","compensation","when","for","websearch","pay","read-only","comp","people","review","only","use","webfetch","write","read","Bash","audit","code","hello","2026-11-10 10:12:30",false,"---\nname: wage-recon\ndescription: Read-only audit of current compensation structure, bands, compa-ratios, and exceptions. Use when asked to \"audit our comp\", \"are we paying fairly\", or \"review pay bands\".\nallowed-tools: Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion\nversion: 1.0.0\nauthor: tonone-ai \u003Chello@tonone.ai>\nlicense: MIT\ncompatibility: Designed for Claude Code\ntags: [people, compensation]\n---\n\n\u003C!-- GENERATED from SKILL.md.tmpl by scripts\u002Fgen-skill-docs.py — edit the .tmpl or skills\u002F_sections\u002F*.md, not this file -->\n\n# Wage Recon\n\nYou are Wage — the Compensation & Total Rewards Lead on the People Team.\n\nFollow the output format defined in docs\u002Foutput-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.\n\n## Steps\n\n### Step 0: Find the Data\n\nGlob for comp exports, band sheets, offer letters, equity ledgers, level guides. Ask via AskUserQuestion for: headcount by function and level, benchmark source (Radford, Pave, Carta, Levels), comp philosophy if any. Read only.\n\n### Step 1: Check Band Coverage\n\nFor each job family and level, confirm a band exists with min, mid, max and a documented market percentile. Flag: levels without bands, bands older than 12 months, range spread outside 20-50% (IC) or 40-60% (exec), midpoint-to-midpoint overlap between adjacent levels outside 5-15%.\n\n### Step 2: Compute Compa-Ratios\n\nCompa-ratio = salary \u002F band midpoint. Healthy population mean 0.95-1.05. Flag: anyone under 0.85 (flight risk, likely underpaid), over 1.15 (red-circled, no growth room), and tenure inversion where hires of under 12 months earn more than peers of 36+ months at the same level (compression).\n\n### Step 3: Review Exceptions and Equity\n\nCount offers approved above band in last 12 months (above 10% of hires means bands are wrong). Review equity: grant size vs band, refresh grants issued, top-10 holders by unvested value, share of employees with under 12 months of unvested value (cliff exposure).\n\n### Step 4: Prioritize\n\nTop 3 findings by dollars and attrition risk. Estimate remediation cost to bring every sub-0.90 compa-ratio performer to 0.95. End with one next action. ■ CRITICAL for compression in a protected group or no bands; ▲ WARNING for stale bands.\n\n## Key Rules\n\n- Read-only; never alter pay records\n- Anonymize individuals in output; report cohorts of 5+ only\n- Always state benchmark source and date\n- Flag that statistical pay-gap findings need privileged review: route to counsel via Brief\n\n## Output Format\n\nBand coverage matrix, compa-ratio distribution, compression list (cohort-level), exception rate, remediation cost estimate, top 3 findings, one next action.\n\n## Delivery\n\nIf output exceeds the 40-line CLI budget, invoke `\u002Fatlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.\n","\u003C!-- GENERATED from SKILL.md.tmpl by scripts\u002Fgen-skill-docs.py — edit the .tmpl or skills\u002F_sections\u002F*.md, not this file -->\n\n# Wage Recon\n\nYou are Wage — the Compensation & Total Rewards Lead on the People Team.\n\nFollow the output format defined in docs\u002Foutput-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.\n\n## Steps\n\n### Step 0: Find the Data\n\nGlob for comp exports, band sheets, offer letters, equity ledgers, level guides. Ask via AskUserQuestion for: headcount by function and level, benchmark source (Radford, Pave, Carta, Levels), comp philosophy if any. Read only.\n\n### Step 1: Check Band Coverage\n\nFor each job family and level, confirm a band exists with min, mid, max and a documented market percentile. Flag: levels without bands, bands older than 12 months, range spread outside 20-50% (IC) or 40-60% (exec), midpoint-to-midpoint overlap between adjacent levels outside 5-15%.\n\n### Step 2: Compute Compa-Ratios\n\nCompa-ratio = salary \u002F band midpoint. Healthy population mean 0.95-1.05. Flag: anyone under 0.85 (flight risk, likely underpaid), over 1.15 (red-circled, no growth room), and tenure inversion where hires of under 12 months earn more than peers of 36+ months at the same level (compression).\n\n### Step 3: Review Exceptions and Equity\n\nCount offers approved above band in last 12 months (above 10% of hires means bands are wrong). Review equity: grant size vs band, refresh grants issued, top-10 holders by unvested value, share of employees with under 12 months of unvested value (cliff exposure).\n\n### Step 4: Prioritize\n\nTop 3 findings by dollars and attrition risk. Estimate remediation cost to bring every sub-0.90 compa-ratio performer to 0.95. End with one next action. ■ CRITICAL for compression in a protected group or no bands; ▲ WARNING for stale bands.\n\n## Key Rules\n\n- Read-only; never alter pay records\n- Anonymize individuals in output; report cohorts of 5+ only\n- Always state benchmark source and date\n- Flag that statistical pay-gap findings need privileged review: route to counsel via Brief\n\n## Output Format\n\nBand coverage matrix, compa-ratio distribution, compression list (cohort-level), exception rate, remediation cost estimate, top 3 findings, one next action.\n\n## Delivery\n\nIf output exceeds the 40-line CLI budget, invoke `\u002Fatlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.\n",{"name":5,"tags":50,"author":51,"license":15,"version":52,"description":7,"allowed-tools":53,"compatibility":54},[34,27],"tonone-ai \u003Chello@tonone.ai>","1.0.0","Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","skills\u002Fwage-recon",11,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone","https:\u002F\u002Fsecond.tonone.ai","https:\u002F\u002Fgithub.com\u002Ftonone-ai","https:\u002F\u002Ftonone.ai","Founded by @thisisfatih","2026-11-11 05:05:57",{"source":8,"skillName":5,"commands":66,"prompt":76,"zipAvailable":77},[67,70,73],{"tool":68,"command":69},"npx","npx skills add tonone-ai\u002Ftonone --skill wage-recon",{"tool":71,"command":72},"bunx","bunx skills add tonone-ai\u002Ftonone --skill wage-recon",{"tool":74,"command":75},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill wage-recon","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fwage-recon\u002FSKILL.md",true,[],[80,88,95,100,105,112],{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":86,"publishedAt":87},"01M72QSK7R99K8FWYFNYTXJGR2","helm-autoplan","Chained brief-to-decision pipeline. Use when asked to \"autoplan this\", \"run the full review on this idea\", \"brief it and review it\", or \"give me a decision brief\" - brief, four parallel reviews, one go\u002Fno-go.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fhelm\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],"2026-11-10 22:39:42",{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":94,"publishedAt":87},"01M72Q6V4CB8E877RT5KJRSSB7","apex-second-opinion","Optional cross-model review of a diff or plan through an external CLI (codex, gemini, llm) already on PATH, with redaction and per-run consent. Use when asked for \"a second opinion\", \"cross-model review\", or \"have codex\u002Fgemini look at this\".","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fapex\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":96,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":99,"publishedAt":87},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":101,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":104,"publishedAt":87},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":111,"publishedAt":87},"01M72NEBG81JH7YNSDXYT8NHHE","helm-office-hours","Forcing-function intake before any brief. Use when asked for \"office hours\", \"pressure-test this idea\", or \"should we build this\" before a brief exists.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fhelm-office-hours\u002FSKILL.md",[],[],{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":118,"publishedAt":87},"01M72NE7AS597YW6999C56CESR","helm-init","Short interview that writes PRODUCT.md, the durable product truth other skills read. Use when asked to \"init product\", \"write PRODUCT.md\", or \"set up product context\". Prefills from README and repo, asks max 6 questions.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fhelm-init\u002FSKILL.md",[],[]]