[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M75CMTSN0KPSMKB60V9WSSRT":3,"skill-same:01M75CMTSN0KPSMKB60V9WSSRT":46},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":18,"linkOnly":19,"markdownContent":20,"markdownBody":21,"frontMatter":22,"refName":23,"commitSha":24,"skillDirectory":25,"forksCount":26,"repositoryHtmlUrl":27,"repositoryHomepageUrl":28,"ownerHtmlUrl":29,"ownerBlogUrl":30,"ownerDescription":6,"updatedAt":31,"install":32,"resources":45},"01M75CMTSN0KPSMKB60V9WSSRT","cross-eval",null,"\u002Fcs:cross-eval \u003Cmemo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation.","agisota\u002Fold-one","agisota","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F121413592?v=4","01M75B4BRNT67EC1NDRT8QZEP2","01M75B4BS7QR9VP580MSCPTS3X",3,"MIT","https:\u002F\u002Fgithub.com\u002Fagisota\u002Fold-one\u002Fblob\u002Fmain\u002Fskills\u002Fcross-eval\u002FSKILL.md",[],[],"2026-11-12 13:55:43",false,"---\nname: \"cross-eval\"\ndescription: \"\u002Fcs:cross-eval \u003Cmemo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation.\"\n---\n\n# \u002Fcs:cross-eval — Multi-Model Consensus\n\n**Command:** `\u002Fcs:cross-eval \u003Cmemo-or-brief>`\n\nRuns the same memo through multiple model providers and reconciles divergences. Use for **high-stakes, irreversible decisions** where single-model bias is too costly: M&A, major fundraises, layoffs, strategic pivots, regulatory commitments.\n\nAdapted from gstack's `\u002Fcodex` cross-review pattern, generalized to **business memos** instead of code PRs.\n\n## When to Run\n\n- Before signing a term sheet\n- Before announcing a layoff\n- Before committing to a regulated market\n- Before any decision where reversing costs > 6 months of company time\n- When the boardroom vote was split or had a CRITICAL dissent\n\n## Models Used (graceful degradation)\n\nThe command tries to invoke each available model in order:\n\n1. **Claude** (primary, always available) — the boardroom's native voice\n2. **Codex \u002F OpenAI** (if `OPENAI_API_KEY` or `codex` CLI available)\n3. **Gemini** (if `GEMINI_API_KEY` or `gemini` CLI available)\n\nIf only Claude is available, the command runs **Claude-only with adversarial mode** — same model, different prompt seeds — and clearly labels the output as single-model.\n\n## Workflow\n\n1. Read the memo \u002F brief\n2. Probe environment for available model CLIs \u002F API keys\n3. For each available model:\n   - Send the memo with this prompt prefix:\n     > \"You are an independent C-suite reviewer. The following is a board memo from another company's boardroom. Identify the top 3 concerns, the top 3 supports, and your vote (APPROVE \u002F REJECT \u002F DEFER). Do not deferentially agree — assume the memo's reasoning is flawed until proven otherwise.\"\n4. Collect three independent reviews\n5. Reconcile: where do they agree? Where do they diverge?\n6. Surface the divergences as questions for the founder\n\n## Output Format\n\nSaved to `~\u002F.claude\u002Fcross-eval\u002FYYYY-MM-DD-\u003Cslug>.md`:\n\n```markdown\n# Cross-Eval: \u003Cmemo title>\n**Date:** YYYY-MM-DD\n**Memo reviewed:** \u003Clink>\n**Models invoked:** Claude \u002F Codex \u002F Gemini (or noted fallbacks)\n\n## Vote Tally\n| Model | Vote | Confidence |\n|---|---|---|\n| Claude | APPROVE | High |\n| Codex | DEFER | Med |\n| Gemini | APPROVE | Low |\n\n## Consensus Concerns (≥2 models flagged)\n1. \u003Cconcern> — flagged by Claude + Codex\n2. \u003Cconcern> — flagged by all 3\n\n## Divergent Concerns (1 model flagged)\n- \u003CCodex only:> \u003Cconcern> — worth a second look\n- \u003CGemini only:> \u003Cconcern> — likely noise, but check\n\n## Consensus Supports (≥2 models endorsed)\n1. \u003Csupport>\n2. \u003Csupport>\n\n## Recommendation\n- 🟢 GO if 2+ models APPROVE and no CRITICAL concerns from any model\n- 🟡 PAUSE if any model is DEFER or any concern is CRITICAL\n- 🔴 STOP if 2+ models REJECT\n\n## Open Questions for Founder\n1. \u003Cquestion raised by divergence>\n2. \u003Cquestion raised by divergence>\n```\n\n## Why This Matters\n\nSingle-model recommendations have systematic biases. Claude trends helpful and may under-weight risk. Codex (OpenAI) trends more cautious on emerging-market and regulatory topics. Gemini trends more cautious on technical scale claims. Disagreement is signal, not noise.\n\nThis is the **safety net before irreversibility** — not a replacement for outside counsel or a real board.\n\n## Graceful Degradation\n\nIf only Claude is available:\n\n```markdown\n**Models available:** Claude only\n**Mode:** ADVERSARIAL — running 3 independent Claude passes with different system prompts:\n  1. Standard reviewer\n  2. Devil's advocate (must find 3 critical concerns)\n  3. Steelman (must find 3 strongest reasons to approve)\n\nThis is weaker than true multi-model. Treat the result as suggestive, not conclusive.\n```\n\n## Routing\n\n- `\u002Fcs:decide` — if consensus is GO\n- `\u002Fcs:freeze` — if consensus is PAUSE\n- `\u002Fcs:boardroom` (re-run) — if consensus is STOP\n\n## Related\n\n- Skills: [`board-meeting`](..\u002F..\u002F..\u002Fskills\u002Fboard-meeting\u002FSKILL.md), [`executive-mentor`](..\u002F..\u002F..\u002Fexecutive-mentor\u002F)\n- Inspiration: gstack's `\u002Fcodex` cross-review pattern (adapted to business memos)\n\n---\n\n**Version:** 1.0.0\n","# \u002Fcs:cross-eval — Multi-Model Consensus\n\n**Command:** `\u002Fcs:cross-eval \u003Cmemo-or-brief>`\n\nRuns the same memo through multiple model providers and reconciles divergences. Use for **high-stakes, irreversible decisions** where single-model bias is too costly: M&A, major fundraises, layoffs, strategic pivots, regulatory commitments.\n\nAdapted from gstack's `\u002Fcodex` cross-review pattern, generalized to **business memos** instead of code PRs.\n\n## When to Run\n\n- Before signing a term sheet\n- Before announcing a layoff\n- Before committing to a regulated market\n- Before any decision where reversing costs > 6 months of company time\n- When the boardroom vote was split or had a CRITICAL dissent\n\n## Models Used (graceful degradation)\n\nThe command tries to invoke each available model in order:\n\n1. **Claude** (primary, always available) — the boardroom's native voice\n2. **Codex \u002F OpenAI** (if `OPENAI_API_KEY` or `codex` CLI available)\n3. **Gemini** (if `GEMINI_API_KEY` or `gemini` CLI available)\n\nIf only Claude is available, the command runs **Claude-only with adversarial mode** — same model, different prompt seeds — and clearly labels the output as single-model.\n\n## Workflow\n\n1. Read the memo \u002F brief\n2. Probe environment for available model CLIs \u002F API keys\n3. For each available model:\n   - Send the memo with this prompt prefix:\n     > \"You are an independent C-suite reviewer. The following is a board memo from another company's boardroom. Identify the top 3 concerns, the top 3 supports, and your vote (APPROVE \u002F REJECT \u002F DEFER). Do not deferentially agree — assume the memo's reasoning is flawed until proven otherwise.\"\n4. Collect three independent reviews\n5. Reconcile: where do they agree? Where do they diverge?\n6. Surface the divergences as questions for the founder\n\n## Output Format\n\nSaved to `~\u002F.claude\u002Fcross-eval\u002FYYYY-MM-DD-\u003Cslug>.md`:\n\n```markdown\n# Cross-Eval: \u003Cmemo title>\n**Date:** YYYY-MM-DD\n**Memo reviewed:** \u003Clink>\n**Models invoked:** Claude \u002F Codex \u002F Gemini (or noted fallbacks)\n\n## Vote Tally\n| Model | Vote | Confidence |\n|---|---|---|\n| Claude | APPROVE | High |\n| Codex | DEFER | Med |\n| Gemini | APPROVE | Low |\n\n## Consensus Concerns (≥2 models flagged)\n1. \u003Cconcern> — flagged by Claude + Codex\n2. \u003Cconcern> — flagged by all 3\n\n## Divergent Concerns (1 model flagged)\n- \u003CCodex only:> \u003Cconcern> — worth a second look\n- \u003CGemini only:> \u003Cconcern> — likely noise, but check\n\n## Consensus Supports (≥2 models endorsed)\n1. \u003Csupport>\n2. \u003Csupport>\n\n## Recommendation\n- 🟢 GO if 2+ models APPROVE and no CRITICAL concerns from any model\n- 🟡 PAUSE if any model is DEFER or any concern is CRITICAL\n- 🔴 STOP if 2+ models REJECT\n\n## Open Questions for Founder\n1. \u003Cquestion raised by divergence>\n2. \u003Cquestion raised by divergence>\n```\n\n## Why This Matters\n\nSingle-model recommendations have systematic biases. Claude trends helpful and may under-weight risk. Codex (OpenAI) trends more cautious on emerging-market and regulatory topics. Gemini trends more cautious on technical scale claims. Disagreement is signal, not noise.\n\nThis is the **safety net before irreversibility** — not a replacement for outside counsel or a real board.\n\n## Graceful Degradation\n\nIf only Claude is available:\n\n```markdown\n**Models available:** Claude only\n**Mode:** ADVERSARIAL — running 3 independent Claude passes with different system prompts:\n  1. Standard reviewer\n  2. Devil's advocate (must find 3 critical concerns)\n  3. Steelman (must find 3 strongest reasons to approve)\n\nThis is weaker than true multi-model. Treat the result as suggestive, not conclusive.\n```\n\n## Routing\n\n- `\u002Fcs:decide` — if consensus is GO\n- `\u002Fcs:freeze` — if consensus is PAUSE\n- `\u002Fcs:boardroom` (re-run) — if consensus is STOP\n\n## Related\n\n- Skills: [`board-meeting`](..\u002F..\u002F..\u002Fskills\u002Fboard-meeting\u002FSKILL.md), [`executive-mentor`](..\u002F..\u002F..\u002Fexecutive-mentor\u002F)\n- Inspiration: gstack's `\u002Fcodex` cross-review pattern (adapted to business memos)\n\n---\n\n**Version:** 1.0.0\n",{"name":5,"description":7},"main","f37de8f681f0c0ca0e0ebab6e5fddf764ca7553d","skills\u002Fcross-eval",1,"https:\u002F\u002Fgithub.com\u002Fagisota\u002Fold-one","https:\u002F\u002Fagisota.github.io\u002Fold-one\u002F","https:\u002F\u002Fgithub.com\u002Fagisota","pzd.world","2026-07-04 22:32:06",{"source":8,"skillName":5,"commands":33,"prompt":43,"zipAvailable":44},[34,37,40],{"tool":35,"command":36},"npx","npx skills add agisota\u002Fold-one --skill cross-eval",{"tool":38,"command":39},"bunx","bunx skills add agisota\u002Fold-one --skill cross-eval",{"tool":41,"command":42},"pnpm","pnpm dlx skills add agisota\u002Fold-one --skill cross-eval","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fagisota\u002Fold-one\u002Fblob\u002Fmain\u002Fskills\u002Fcross-eval\u002FSKILL.md",true,[],[47,54,61,70,77,84],{"skillNo":48,"name":49,"nameZh":6,"description":50,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":51,"categories":52,"keywords":53,"publishedAt":18},"01M75KRGZWQWE9JDBS6RX42NWV","zoom-out","Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.","https:\u002F\u002Fgithub.com\u002Fagisota\u002Fold-one\u002Fblob\u002Fmain\u002Fskills\u002Fzoom-out\u002FSKILL.md",[],[],{"skillNo":55,"name":56,"nameZh":6,"description":57,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":58,"categories":59,"keywords":60,"publishedAt":18},"01M75KRCZHKE0ZYAQFFYHS0YNP","zeroize-audit","Detects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis, and control-flow verification. Use for auditing C\u002FC++\u002FRust code handling secrets, keys, passwords, or other sensitive data.","https:\u002F\u002Fgithub.com\u002Fagisota\u002Fold-one\u002Fblob\u002Fmain\u002Fskills\u002Fzeroize-audit\u002FSKILL.md",[],[],{"skillNo":62,"name":63,"nameZh":6,"description":64,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":65,"licenseFileUrl":66,"sourceHtmlUrl":67,"categories":68,"keywords":69,"publishedAt":18},"01M75KR94KYQ30DTE1P9WNDAE0","yeet","Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fagisota\u002Fold-one\u002Fblob\u002Fmain\u002Fskills\u002Fyeet\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fagisota\u002Fold-one\u002Fblob\u002Fmain\u002Fskills\u002Fyeet\u002FSKILL.md",[],[],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":76,"publishedAt":18},"01M75KR3H13YJ9QHMD49818FA1","yara-rule-authoring","Guides authoring of high-quality YARA-X detection rules for malware identification. Use when writing, reviewing, or optimizing YARA rules. Covers naming conventions, string selection, performance optimization, migration from legacy YARA, and false positive reduction. Triggers on: YARA, YARA-X, malware detection, threat hunting, IOC, signature, crx module, dex module.","https:\u002F\u002Fgithub.com\u002Fagisota\u002Fold-one\u002Fblob\u002Fmain\u002Fskills\u002Fyara-rule-authoring\u002FSKILL.md",[],[],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":81,"categories":82,"keywords":83,"publishedAt":18},"01M75KQMPY8A4Y8XTDD2DT0M9T","x-twitter-growth","X\u002FTwitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X\u002FTwitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.","https:\u002F\u002Fgithub.com\u002Fagisota\u002Fold-one\u002Fblob\u002Fmain\u002Fskills\u002Fx-twitter-growth\u002FSKILL.md",[],[],{"skillNo":85,"name":86,"nameZh":6,"description":87,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":88,"categories":89,"keywords":90,"publishedAt":18},"01M75KQHNZ0ANZNJGZY6M8MDAK","x-api","X\u002FTwitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.","https:\u002F\u002Fgithub.com\u002Fagisota\u002Fold-one\u002Fblob\u002Fmain\u002Fskills\u002Fx-api\u002FSKILL.md",[],[]]