{"slug":"yunyueli-job-intel","name":"job-intel","description":"Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. Use when the user shares a JD or job link, names a company they will interview with, asks to analyze a position (拆解 JD / 分析这个岗位 / 查一下这家公司 / 面试官是谁 / 下一轮会考什么), or after a round when the next interviewer is known. Do NOT use for writing the answer script itself (use interview-script) or post-interview review (use debrief).","long_description":"---\nname: job-intel\ndescription: Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. Use when the user shares a JD or job link, names a company they will interview with, asks to analyze a position (拆解 JD / 分析这个岗位 / 查一下这家公司 / 面试官是谁 / 下一轮会考什么), or after a round when the next interviewer is known. Do NOT use for writing the answer script itself (use interview-script) or post-interview review (use debrief).\nlicense: AGPL-3.0\nmetadata:\n  author: Yunyue Li\n  version: \"0.1.0\"\n---\n\n# job-intel · 岗位情报\n\n把一个岗位变成一份可备战的情报文件 `jobs/<slug>/intel.md`。原则：**证据驱动**——匹配结论必须能指到候选人材料里的具体证据，查不到的就写查不到，不编。\n\n## 前置\n\n1. 定位工作台（找 `profile.md` + `jobs/`；没有则建议先跑 greenroom 入口 skill 初始化）。\n2. 没有 `jobs/<slug>/job.md` 就先建：slug 用小写连字符（如 `acme-ai-pm`），frontmatter 含 `type: job / company / role / status / source`，正文放 JD 原文。\n3. 读 `profile.md`、`story-bank.md`，作为匹配分析的证据池。\n\n## 产出 intel.md 的六个部分\n\n### 1. JD 逐条匹配表\n\nJD 的每条要求一行，证据只能来自工作台材料：\n\n| JD 要求（原文） | 我的证据 | 匹配度 | 风险/缺口 | 面试策略 |\n|----------------|----------|--------|-----------|----------|\n| （逐条抄原文） | 指向具体项目和数字；无则写「材料未见直接证据」 | ✅强 / ⚠️中 / ❌弱 | 会被追问什么 | 有证据→用哪个经历卡哪个角度；无证据→怎么正面回应缺口 |\n\n表后给一段判断：这个岗位真正在招什么人（JD 措辞背后的核心诉求，通常 1-2 条，其余是装饰）。\n\n### 2. 公司与产品\n\n用 web 搜索补齐：公司近况（融资/组织变化/战略转向）、目标产品的当前状态、竞品格局、近期公开发言（创始人/业务负责人访谈是考题富矿）。每条结论带来源链接；搜不到的写「未核实」。\n\n### 3. 面试官档案（拿到名字就做，价值极高）\n\n- 背景：履历、做过什么方向、公开内容（博客/播客/演讲/社交账号）。\n- **风格推断**：技术出身→会往机理追问；业务出身→要结果和数字；投资背景→看判断和盘子大小。\n- **prefer 什么人**：从其背景推断雷区与加分项（例：面试官自己是某背景出身，慎打「我比你懂你的领域」的牌；面试官明确说过喜欢无包袱的人，就少打资历牌）。\n- 给出 2-3 条具体打法调整建议，写明推断依据，标注置信度。\n\n### 4. 双轨核对：猎头描述 vs 实际岗位\n\n猎头/HR 描述的岗位和业务团队实际在招的岗位经常有出入（汇报线、职级、是负责人还是组员）。把两边说法并排列出，差异处标 ⚠️，列出该向谁核实什么问题。差异本身就是反问环节的好问题。\n\n### 5. 下轮考题预测\n\n依据：JD 关键词、面试官背景、本轮面试官透露的信息（debrief 里常有下轮剧透）、该公司公开面经（带来源）。输出 5-10 个预测题，按概率排序，每题一行注明预测依据。这份清单直接喂给 interview-script 和 mock-interview。\n\n### 6. 渠道情报\n\n面经、社区帖子、内部消息，逐条带来源和日期，可信度分级（一手/二手/传闻）。\n\n## 写入约定\n\n- frontmatter：`type: intel / job: <slug> / updated: <date>`。\n- 调研中发现的硬数字（公司估值、产品数据）只是背景情报，逐条带来源；查不到的写「未核实」，不替公司编数字。\n- 发现 JD 或情报与用户既有材料冲突（例：用户准备讲的方向公司刚砍掉），单独列一节「⚠️ 冲突提醒」。\n- 全部写完后更新 `job.md` 的 `status` 和 `updated`。\n\n## 触发后的最小流程\n\n用户只给了一个 JD 没说别的 → 建 job.md → 跑六部分 → 汇报匹配表的强弱结论 + 考题预测 top3 + 建议的下一步（通常是 story-bank 或 interview-script）。\n","tagline":"Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. 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issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"AGPL-3.0"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add YunyueLi/greenroom --skill job-intel"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 11 GitHub stars","Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata"],"evidence":{"stars":"11 GitHub stars","repoActivity":"11 stars, 1 forks","lastPushed":"Pushed today","license":"AGPL-3.0","repository":"https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel","install":"npx skills add YunyueLi/greenroom --skill job-intel","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add YunyueLi/greenroom --skill job-intel","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","Pushed today"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 11 GitHub stars","Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 11 GitHub stars","Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":66,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["Low GitHub adoption signal","66/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["Low GitHub adoption signal"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Low GitHub adoption signal","66/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":71,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Require human approval before installing into a real workspace.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Usable candidate, but the agent should surface permission and audit notes before installation.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 11 GitHub stars","Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate job-intel before installing it in an agent workflow","research","Research agents workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add YunyueLi/greenroom --skill job-intel"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add YunyueLi/greenroom --skill job-intel"]},{"id":"trust_score","label":"Trust score","status":"warn","score":76,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","11 GitHub stars","AGPL-3.0"]},{"id":"audit_score","label":"Audit score","status":"warn","score":78,"required_for_auto_install":true,"detail":"Needs review","evidence":["Low GitHub adoption signal"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":66,"required_for_auto_install":true,"detail":"Usable candidate, but the agent should surface permission and audit notes before installation.","evidence":["Require human approval before installing into a real workspace.","Low GitHub adoption signal"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"warn","score":76,"required_for_auto_install":false,"detail":"Public metadata needs stronger README/SKILL.md context","evidence":["Usable metadata, review docs"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"AGPL-3.0","evidence":["AGPL-3.0"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"Pushed today","evidence":["Pushed today"]},{"id":"permission_surface","label":"Permission surface","status":"pass","score":100,"required_for_auto_install":true,"detail":"no high-risk permission surface in public metadata","evidence":["Network access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/yunyueli-job-intel/evals","api":"/api/agent/evals?slug=yunyueli-job-intel","text":"/api/agent/evals?slug=yunyueli-job-intel&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"yunyueli-job-intel","name":"job-intel","description":"Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. Use when the user shares a JD or job link, names a company they will interview with, asks to analyze a position (拆解 JD / 分析这个岗位 / 查一下这家公司 / 面试官是谁 / 下一轮会考什么), or after a round when the next interviewer is known. Do NOT use for writing the answer script itself (use interview-script) or post-interview review (use debrief).","category":"research","url":"https://www.openagentskill.com/skills/yunyueli-job-intel","repository":"https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel","github_repo":"YunyueLi/greenroom"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Load football datasets","Compare teams and players"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add YunyueLi/greenroom --skill job-intel","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install yunyueli-job-intel"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"job-intel\" agent skill from https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. Use when the user shares a JD or job link, names a company they will interview with, asks to analyze a position (拆解 JD / 分析这个岗位 / 查一下这家公司 / 面试官是谁 / 下一轮会考什么), or after a round when the next interviewer is known. Do NOT use for writing the answer script itself (use interview-script) or post-interview review (use debrief). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"yunyueli-job-intel\",\"task\":\"Install job-intel\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"job-intel\" as a Claude Code skill from https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. Use when the user shares a JD or job link, names a company they will interview with, asks to analyze a position (拆解 JD / 分析这个岗位 / 查一下这家公司 / 面试官是谁 / 下一轮会考什么), or after a round when the next interviewer is known. Do NOT use for writing the answer script itself (use interview-script) or post-interview review (use debrief). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"yunyueli-job-intel\",\"task\":\"Install job-intel\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"job-intel\" from https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. Use when the user shares a JD or job link, names a company they will interview with, asks to analyze a position (拆解 JD / 分析这个岗位 / 查一下这家公司 / 面试官是谁 / 下一轮会考什么), or after a round when the next interviewer is known. Do NOT use for writing the answer script itself (use interview-script) or post-interview review (use debrief). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"yunyueli-job-intel\",\"task\":\"Install job-intel\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/yunyueli-job-intel/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/yunyueli-job-intel"},"trust":{"score":76,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"11 GitHub stars","repoActivity":"11 stars, 1 forks","lastPushed":"Pushed today","license":"AGPL-3.0","repository":"https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel","install":"npx skills add YunyueLi/greenroom --skill job-intel","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 11 GitHub stars","Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 11 GitHub stars","Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":57,"label":"Promising"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","No OpenAgentSkill engagement data yet","Quality score needs review","GitHub adoption: 11 GitHub stars","Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use job-intel in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 76/100 Strong shortlist","Audit: 78/100 Needs review","Safety: 66/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"yunyueli-job-intel (job-intel)","install_command":"npx skills add YunyueLi/greenroom --skill job-intel","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"yunyueli-job-intel","task":"Use job-intel in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/yunyueli-job-intel","api":"https://www.openagentskill.com/api/agent/skills/yunyueli-job-intel","audit":"https://www.openagentskill.com/skills/yunyueli-job-intel/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=yunyueli-job-intel&task=Use%20job-intel%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20job-intel%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20job-intel%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/yunyueli-job-intel/install","manifest":"https://www.openagentskill.com/api/registry/manifest/yunyueli-job-intel"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"yunyueli-job-intel","name":"job-intel","description":"Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. Use when the user shares a JD or job link, names a company they will interview with, asks to analyze a position (拆解 JD / 分析这个岗位 / 查一下这家公司 / 面试官是谁 / 下一轮会考什么), or after a round when the next interviewer is known. Do NOT use for writing the answer script itself (use interview-script) or post-interview review (use debrief).","category":"research","url":"https://www.openagentskill.com/skills/yunyueli-job-intel","repository":"https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel","github_repo":"YunyueLi/greenroom"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Load football datasets","Compare teams and players"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add YunyueLi/greenroom --skill job-intel","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install yunyueli-job-intel"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"job-intel\" agent skill from https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. Use when the user shares a JD or job link, names a company they will interview with, asks to analyze a position (拆解 JD / 分析这个岗位 / 查一下这家公司 / 面试官是谁 / 下一轮会考什么), or after a round when the next interviewer is known. Do NOT use for writing the answer script itself (use interview-script) or post-interview review (use debrief). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"yunyueli-job-intel\",\"task\":\"Install job-intel\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"job-intel\" as a Claude Code skill from https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. Use when the user shares a JD or job link, names a company they will interview with, asks to analyze a position (拆解 JD / 分析这个岗位 / 查一下这家公司 / 面试官是谁 / 下一轮会考什么), or after a round when the next interviewer is known. Do NOT use for writing the answer script itself (use interview-script) or post-interview review (use debrief). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"yunyueli-job-intel\",\"task\":\"Install job-intel\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"job-intel\" from https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. Use when the user shares a JD or job link, names a company they will interview with, asks to analyze a position (拆解 JD / 分析这个岗位 / 查一下这家公司 / 面试官是谁 / 下一轮会考什么), or after a round when the next interviewer is known. Do NOT use for writing the answer script itself (use interview-script) or post-interview review (use debrief). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"yunyueli-job-intel\",\"task\":\"Install job-intel\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/yunyueli-job-intel/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/yunyueli-job-intel"},"trust":{"score":76,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"11 GitHub stars","repoActivity":"11 stars, 1 forks","lastPushed":"Pushed today","license":"AGPL-3.0","repository":"https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel","install":"npx skills add YunyueLi/greenroom --skill job-intel","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 11 GitHub stars","Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 11 GitHub stars","Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":57,"label":"Promising"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","No OpenAgentSkill engagement data yet","Quality score needs review","GitHub adoption: 11 GitHub stars","Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use job-intel in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 76/100 Strong shortlist","Audit: 78/100 Needs review","Safety: 66/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"yunyueli-job-intel (job-intel)","install_command":"npx skills add YunyueLi/greenroom --skill job-intel","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"yunyueli-job-intel","task":"Use job-intel in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/yunyueli-job-intel","api":"https://www.openagentskill.com/api/agent/skills/yunyueli-job-intel","audit":"https://www.openagentskill.com/skills/yunyueli-job-intel/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=yunyueli-job-intel&task=Use%20job-intel%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20job-intel%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20job-intel%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/yunyueli-job-intel/install","manifest":"https://www.openagentskill.com/api/registry/manifest/yunyueli-job-intel"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"sports-analytics","title":"Sports analytics"},{"slug":"coding-agents","title":"Coding agents"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add YunyueLi/greenroom --skill job-intel","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":11,"starsLabel":"11","forks":1,"license":"AGPL-3.0","qualityScore":57,"trustScore":76,"auditScore":78},"maintenance":{"status":"fresh","label":"Pushed today","daysSincePush":0,"lastPushedAt":"2026-08-23T15:32:07+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 11 GitHub stars","Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata","Needs review"]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":78,"risk_level":"needs_review","risk_label":"Needs review","quality_score":57,"trust_score":76,"maintenance_score":100,"security_score":87,"install_score":92,"warnings":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 11 GitHub stars","Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata"]},"quality_signals":{"model":"v2","star_score":7.55,"usage_score":0,"review_score":5.55,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"web-data-pipeline","title":"Web data pipeline","url":"https://www.openagentskill.com/collections/web-data-pipeline"},{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"}],"install":"npx skills add YunyueLi/greenroom --skill job-intel","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install yunyueli-job-intel","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"job-intel\" agent skill from https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. Use when the user shares a JD or job link, names a company they will interview with, asks to analyze a position (拆解 JD / 分析这个岗位 / 查一下这家公司 / 面试官是谁 / 下一轮会考什么), or after a round when the next interviewer is known. Do NOT use for writing the answer script itself (use interview-script) or post-interview review (use debrief). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"yunyueli-job-intel\",\"task\":\"Install job-intel\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"job-intel\" as a Claude Code skill from https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. Use when the user shares a JD or job link, names a company they will interview with, asks to analyze a position (拆解 JD / 分析这个岗位 / 查一下这家公司 / 面试官是谁 / 下一轮会考什么), or after a round when the next interviewer is known. Do NOT use for writing the answer script itself (use interview-script) or post-interview review (use debrief). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"yunyueli-job-intel\",\"task\":\"Install job-intel\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"job-intel\" from https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Deconstructs a job description and builds interview intelligence — JD-to-evidence matching, company and product research, interviewer profiling, recruiter-vs-team discrepancy checks, and next-round question forecasting. Use when the user shares a JD or job link, names a company they will interview with, asks to analyze a position (拆解 JD / 分析这个岗位 / 查一下这家公司 / 面试官是谁 / 下一轮会考什么), or after a round when the next interviewer is known. Do NOT use for writing the answer script itself (use interview-script) or post-interview review (use debrief). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"yunyueli-job-intel\",\"task\":\"Install job-intel\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel","github_repo":"YunyueLi/greenroom","version":"1.0.0","license":"AGPL-3.0","urls":{"web":"https://www.openagentskill.com/skills/yunyueli-job-intel","repository":"https://github.com/YunyueLi/greenroom/tree/main/skills/job-intel","api":"/api/agent/skills/yunyueli-job-intel","install_api":"/api/skills/yunyueli-job-intel/install"},"meta":{"created_at":"2026-08-23T15:35:50.838905+00:00","updated_at":"2026-08-23T15:35:50.838905+00:00","agent_friendly":true}}