{"slug":"wangyuahn-kimi-datasource","name":"kimi-datasource","description":"Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases.\nThis plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`.","long_description":"---\nname: kimi-datasource\ndescription: |\n  Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases.\n  This plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`.\n---\n\n# kimi-datasource — 通用数据源助手\n\n## 0. 调用方式\n\n本 skill 使用 datasource MCP server 注册的两个工具，不要通过 Bash 手动执行脚本：\n\n- `mcp__plugin-kimi-datasource_data__get_data_source_desc`\n- `mcp__plugin-kimi-datasource_data__call_data_source_tool`\n\n这两个工具由 Kimi Code 托管执行，参数直接按 tool schema 传 JSON。\n\n工具会读取当前 Kimi Code 环境对应的本地 OAuth 登录凭据；当设置了 `KIMI_CODE_OAUTH_HOST` / `KIMI_CODE_BASE_URL` 时，会使用对应环境的隔离凭据。如果没有登录凭据，让用户先在 Kimi Code 里执行 `/login`。\n\n## 1. 这个 skill 提供什么能力\n\n本 plugin 后面挂了 7 个外部数据源。每一行的\"数据源名\"就是传给 `get_data_source_desc` 的 `name`。\n\n| 能力域 | 数据源名 | 典型问题 |\n|---|---|---|\n| **A股 / 港股 / 美股 行情和财务** | `stock_finance_data` | \"茅台现在多少钱\"、\"宁德时代 2024 年财报\"、\"腾讯股东\"、\"杭州的人工智能股票\" |\n| **Yahoo Finance 全球金融** | `yahoo_finance` | \"苹果分析师评级\"、\"AAPL 期权链\"、\"标普 500 历年价格\" |\n| **世界银行宏观经济** | `world_bank_open_data` | \"中国历年 GDP\"、\"印度通胀率\"、\"各国人口增长对比\" |\n| **中国企业工商信息** | `tianyancha` | \"字节跳动股东\"、\"比亚迪司法风险\"、\"宁德时代专利\" |\n| **arXiv 论文预印本** | `arxiv` | \"找 RAG 综述\"、\"下载 2406.xxxxx\" |\n| **Google Scholar 学术搜索** | `scholar` | \"Hinton 最新论文\"、\"transformer 综述高引文献\" |\n| **中国法律法规 / 司法案例** | `yuandian_law` | \"民法典关于居住权的规定\"、\"帮我查劳动合同解除的相关法条\"、\"找几个不当得利的判例\" |\n\n**不支持的能力**：通用 Web 搜索 / 实时新闻。问到这类问题，告诉用户当前数据源不覆盖。\n\n## 2. 标准工作流：`get_data_source_desc` → `call_data_source_tool`\n\n后端可用 API 经常会调整，**这份 skill 故意不抄具体的 API 名和参数表**。每次调用前你都应当现场问数据源：\"你都有什么接口？\"\n\n```\n1. 根据用户问题，从上表挑出一个 data_source_name\n2. 执行 get_data_source_desc，读取该数据源的 Markdown 文档\n3. 仔细读返回的 Markdown，里面列了：\n     - 该数据源整体说明（含 ticker 格式、全局约束）\n     - 每个 API 的描述 / 必填参数 / 可选参数 / 默认值 / 取值范围\n4. 选最匹配的 API，按文档拼 params\n5. 执行 call_data_source_tool\n6. 读返回结果，用用户提问时使用的语言回答\n```\n\n### 例 1：用户问\"茅台最近一年走势\"\n\n1. 股票走势 → `stock_finance_data`\n2. 调用 `mcp__plugin-kimi-datasource_data__get_data_source_desc`，参数 `{\"name\":\"stock_finance_data\"}`\n\n3. 从文档里找到\"获取历史价格\"那个 API，看它要 `ticker / start_date / end_date / file_path` 等\n4. 用 web_search 核对 → 茅台 = `600519.SH`\n5. 调用 `mcp__plugin-kimi-datasource_data__call_data_source_tool`，参数形如 `{\"data_source_name\":\"stock_finance_data\",\"api_name\":\"<文档里写的 api>\",\"params\":{\"ticker\":\"600519.SH\",\"start_date\":\"...\",\"end_date\":\"...\",\"file_path\":\"/tmp/mao_1y.csv\"}}`\n\n### 例 2：用户问\"找几篇 retrieval augmented generation 的综述\"\n\n1. 论文搜索 → `arxiv`（或 `scholar`，arxiv 更适合预印本，scholar 引用更全）\n2. 调用 `mcp__plugin-kimi-datasource_data__get_data_source_desc`，参数 `{\"name\":\"arxiv\"}`\n\n3. 从文档里找到搜索类 API，看它要 `query / file_path / max_results` 等\n4. 执行 `call_data_source_tool`\n\n### 例 3：用户问\"字节跳动有哪些股东\"\n\n1. 企业工商 → `tianyancha`\n2. 调用 `mcp__plugin-kimi-datasource_data__get_data_source_desc`，参数 `{\"name\":\"tianyancha\"}`\n\n3. 注意：tianyancha 的 API 是动态注册的，文档会指引你**先用搜索类接口找到合适的 API 名，再调用**\n4. **必须使用企业全称**（\"北京字节跳动科技有限公司\"），不要用简称。不知道全称就先用 tianyancha 文档里的\"公司搜索\"接口查\n\n## 3. 调用前的几条铁律\n\n### 3.1 股票代码必须核对，不能凭记忆猜\n\nA 股 `.SH/.SZ/.BJ`，港股 `.HK`，美股 `.US` 等。用户通常只说中文名（\"茅台\"、\"宁德时代\"、\"腾讯\"），不会给代码。\n\n**调任何股票相关 API 前**，先用 `web_search` / `WebSearch` 一类联网工具确认正确代码 + 后缀。\n\n如果当前环境没有任何联网工具，**让用户亲口确认代码**，不要硬猜。错了的话接口会静默返回错数据或空数据。\n\n### 3.2 企业相关查询必须用全称\n\n`tianyancha` 拒收\"特斯拉\"、\"网易\"、\"腾讯\"这种简称，必须给\"北京特斯拉销售有限公司\"这种全名。不知道全名时，先调它的公司搜索 API。\n\n### 3.3 多数 API 需要 `file_path`\n\n绝大部分数据源 API 把完整结果以 CSV 形式写到 `file_path`。漏传会报 `Missing required parameters: file_path`。不知道传啥时，给一个 `/tmp/<场景>_<时间戳>.csv` 即可。\n\n### 3.4 一次调用不要堆太多 ticker\n\n`stock_finance_data` 的实时接口最多 3 个 ticker，历史接口最多 10 个。超过会被截断或报错。多了就分批调。\n\n## 4. 怎么读返回结果\n\n`call_data_source_tool` 的 stdout 一般含两段：\n\n1. **`data_preview`**：CSV 头 + 前几行（通常 1~3 行），方便你直接答简单问题\n2. **`CSV 数据已写入：/tmp/xxx.csv`**：完整数据落盘路径\n\n策略：\n- 用户只问\"XX 现在多少钱\"、\"中国 2023 GDP 多少\"这种单值 → `data_preview` 一般够，直接答\n- 用户要画图、对比、算盈亏、列清单 → 用 `Read` 工具把 CSV 读出来再处理\n- 混合 A+港股查询时服务端会自动把 CSV 拆成 `_a.csv` / `_hk.csv` 两份，原 `file_path` 那个文件不存在\n\n如果接口返回失败，提示文字一般会写明原因（参数不对 / 不支持 / 数据空等）。把人话原因反馈给用户，不要硬走第二次。\n\n## 5. `watchlist.json` — 用户自选股\n\n`${KIMI_SKILL_DIR}/watchlist.json` 是用户的自选股列表。用户问\"看一下我的自选股\"时，读这个文件，再走标准 `get_data_source_desc(\"stock_finance_data\") → call_data_source_tool` 流程查实时行情；文档里的实时接口最多 3 个 ticker 一批，多了分批调。\n\n格式：\n\n```json\n[\n  {\"code\": \"600519.SH\", \"name\": \"贵州茅台\"},\n  {\"code\": \"0700.HK\", \"name\": \"腾讯控股\", \"hold_cost\": 350.5, \"hold_quantity\": 100}\n]\n```\n\n- `code` 和 `name` 必填；`hold_cost` 和 `hold_quantity` 可选\n- 两者都有时顺便算盈亏：`(当前价 - hold_cost) * hold_quantity`\n- 用户说\"帮我加 XX 到自选股\"时：先 web_search 核对代码，再追加到 JSON 数组\n\n## 6. 注意事项\n\n- **回答用户时，使用用户提问时使用的语言**。如果用户用中文问，就用中文答；如果用户用英文问，就用英文答；用其他语言问，就用其他语言答。\n- **不要凭记忆猜股票代码 / 企业全称**。错代码会让接口静默返回错数据，用户察觉不到\n- **不要在没读 desc 的情况下硬传 `api_name`**。后端会报 `API_NOT_FOUND`。除非这次会话里你已经读过该数据源的 desc 并记得参数\n- **不要给投资建议**。给完数据加一句\"AI 生成，不构成投资建议\"即可\n- 如果某个数据源接口返回的报错明显是后端 bug（参数 schema 自相矛盾、内部 Python 报错等），**汇报错误给用户，不要硬试**——这种 bug 我们这边修不了，要后端服务侧改\n","tagline":"Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Ch","category":"research","tags":["agent-skill"],"author":"wangyuahn","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"wangyuahn/nori-code","creatorName":"wangyuahn","creatorUrl":"https://github.com/wangyuahn","sourceUrl":"https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/wangyuahn-kimi-datasource#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":13,"forks":0,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":31.12},"quality":{"score":58,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"13","tone":"neutral"},{"label":"Freshness","value":"13d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["Low GitHub adoption signal","SKILL.md instructs agents to pass a file_path to many APIs, but does not explicitly restrict it to /tmp or warn against writing to sensitive locations. 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A malicious prompt or untrusted backend response could cause the agent to request file writes outside the intended output directory.","Financial research output is not financial advice; require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","GitHub adoption: 13 GitHub stars","Stars/forks activity: 13 stars, 0 forks; issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access"]},"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":26,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"blocked","label":"Blocked for auto-install","badge":"BLOCKED","summary":"This skill should not be selected by an agent without explicit human security review.","recommended_action":"Do not auto-install. 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A malicious prompt or untrusted backend response could cause the agent to request file writes outside the intended output directory.","The data returned from the backend may contain arbitrary content. SKILL.md does not warn agents to treat all returned data strictly as data, which could lead to indirect prompt injection if malformed metadata is misinterpreted as instructions.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"],"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 kimi-datasource 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 wangyuahn/nori-code --skill kimi-datasource"]},{"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 wangyuahn/nori-code --skill kimi-datasource"]},{"id":"trust_score","label":"Trust score","status":"fail","score":59,"required_for_auto_install":true,"detail":"Potentially useful, but at least one trust signal needs human inspection.","evidence":["Manual review","13 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":70,"required_for_auto_install":true,"detail":"Needs review","evidence":["Dependency or permission surface needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"fail","score":26,"required_for_auto_install":true,"detail":"This skill should not be selected by an agent without explicit human security review.","evidence":["Do not auto-install. Inspect the source, dependencies, and permission surface first.","Metadata combines secrets access with shell or command execution"]},{"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":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"13d since push","evidence":["13d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":18,"required_for_auto_install":true,"detail":"secrets or environment access, shell or command execution","evidence":["Shell or command execution: high","Network access: medium","Filesystem 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/wangyuahn-kimi-datasource/evals","api":"/api/agent/evals?slug=wangyuahn-kimi-datasource","text":"/api/agent/evals?slug=wangyuahn-kimi-datasource&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"wangyuahn-kimi-datasource","name":"kimi-datasource","description":"Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases.\nThis plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`.","category":"research","url":"https://www.openagentskill.com/skills/wangyuahn-kimi-datasource","repository":"https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource","github_repo":"wangyuahn/nori-code"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Retrieve market data","Compare financial signals"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add wangyuahn/nori-code --skill kimi-datasource","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add wangyuahn-kimi-datasource"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"kimi-datasource\" agent skill from https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource. 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: Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases. This plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`. 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\":\"wangyuahn-kimi-datasource\",\"task\":\"Install kimi-datasource\",\"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 \"kimi-datasource\" as a Claude Code skill from https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource. 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: Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases. This plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`. 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\":\"wangyuahn-kimi-datasource\",\"task\":\"Install kimi-datasource\",\"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 \"kimi-datasource\" from https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource 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: Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases. This plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`. 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\":\"wangyuahn-kimi-datasource\",\"task\":\"Install kimi-datasource\",\"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/wangyuahn-kimi-datasource/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/wangyuahn-kimi-datasource"},"trust":{"score":59,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"13 GitHub stars","repoActivity":"13 stars, 0 forks","lastPushed":"13d since push","license":"MIT","repository":"https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource","install":"npx skills add wangyuahn/nori-code --skill kimi-datasource","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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":["SKILL.md instructs agents to pass a file_path to many APIs, but does not explicitly restrict it to /tmp or warn against writing to sensitive locations. A malicious prompt or untrusted backend response could cause the agent to request file writes outside the intended output directory.","Financial research output is not financial advice; require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","GitHub adoption: 13 GitHub stars","Stars/forks activity: 13 stars, 0 forks; issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access"]},"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":70,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","SKILL.md instructs agents to pass a file_path to many APIs, but does not explicitly restrict it to /tmp or warn against writing to sensitive locations. A malicious prompt or untrusted backend response could cause the agent to request file writes outside the intended output directory.","The data returned from the backend may contain arbitrary content. SKILL.md does not warn agents to treat all returned data strictly as data, which could lead to indirect prompt injection if malformed metadata is misinterpreted as instructions.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"quality":{"score":58,"label":"Promising"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"13d since push","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","SKILL.md instructs agents to pass a file_path to many APIs, but does not explicitly restrict it to /tmp or warn against writing to sensitive locations. A malicious prompt or untrusted backend response could cause the agent to request file writes outside the intended output directory.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing"],"agent_contract":{"task_input":"Use kimi-datasource in an agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 59/100 Manual review","Audit: 70/100 Needs review","Safety: 26/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"wangyuahn-kimi-datasource (kimi-datasource)","install_command":"npx skills add wangyuahn/nori-code --skill kimi-datasource","risk_summary":"Needs review; Blocked for auto-install; 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":"wangyuahn-kimi-datasource","task":"Use kimi-datasource 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/wangyuahn-kimi-datasource","api":"https://www.openagentskill.com/api/agent/skills/wangyuahn-kimi-datasource","audit":"https://www.openagentskill.com/skills/wangyuahn-kimi-datasource/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=wangyuahn-kimi-datasource&task=Use%20kimi-datasource%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20kimi-datasource%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20kimi-datasource%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/wangyuahn-kimi-datasource/install","manifest":"https://www.openagentskill.com/api/registry/manifest/wangyuahn-kimi-datasource"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"wangyuahn-kimi-datasource","name":"kimi-datasource","description":"Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases.\nThis plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`.","category":"research","url":"https://www.openagentskill.com/skills/wangyuahn-kimi-datasource","repository":"https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource","github_repo":"wangyuahn/nori-code"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Retrieve market data","Compare financial signals"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add wangyuahn/nori-code --skill kimi-datasource","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add wangyuahn-kimi-datasource"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"kimi-datasource\" agent skill from https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource. 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: Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases. This plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`. 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\":\"wangyuahn-kimi-datasource\",\"task\":\"Install kimi-datasource\",\"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 \"kimi-datasource\" as a Claude Code skill from https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource. 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: Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases. This plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`. 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\":\"wangyuahn-kimi-datasource\",\"task\":\"Install kimi-datasource\",\"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 \"kimi-datasource\" from https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource 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: Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases. This plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`. 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\":\"wangyuahn-kimi-datasource\",\"task\":\"Install kimi-datasource\",\"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/wangyuahn-kimi-datasource/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/wangyuahn-kimi-datasource"},"trust":{"score":59,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"13 GitHub stars","repoActivity":"13 stars, 0 forks","lastPushed":"13d since push","license":"MIT","repository":"https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource","install":"npx skills add wangyuahn/nori-code --skill kimi-datasource","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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":["SKILL.md instructs agents to pass a file_path to many APIs, but does not explicitly restrict it to /tmp or warn against writing to sensitive locations. A malicious prompt or untrusted backend response could cause the agent to request file writes outside the intended output directory.","Financial research output is not financial advice; require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","GitHub adoption: 13 GitHub stars","Stars/forks activity: 13 stars, 0 forks; issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access"]},"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":70,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","SKILL.md instructs agents to pass a file_path to many APIs, but does not explicitly restrict it to /tmp or warn against writing to sensitive locations. A malicious prompt or untrusted backend response could cause the agent to request file writes outside the intended output directory.","The data returned from the backend may contain arbitrary content. SKILL.md does not warn agents to treat all returned data strictly as data, which could lead to indirect prompt injection if malformed metadata is misinterpreted as instructions.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"quality":{"score":58,"label":"Promising"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"13d since push","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","SKILL.md instructs agents to pass a file_path to many APIs, but does not explicitly restrict it to /tmp or warn against writing to sensitive locations. A malicious prompt or untrusted backend response could cause the agent to request file writes outside the intended output directory.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing"],"agent_contract":{"task_input":"Use kimi-datasource in an agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 59/100 Manual review","Audit: 70/100 Needs review","Safety: 26/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"wangyuahn-kimi-datasource (kimi-datasource)","install_command":"npx skills add wangyuahn/nori-code --skill kimi-datasource","risk_summary":"Needs review; Blocked for auto-install; 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":"wangyuahn-kimi-datasource","task":"Use kimi-datasource 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/wangyuahn-kimi-datasource","api":"https://www.openagentskill.com/api/agent/skills/wangyuahn-kimi-datasource","audit":"https://www.openagentskill.com/skills/wangyuahn-kimi-datasource/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=wangyuahn-kimi-datasource&task=Use%20kimi-datasource%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20kimi-datasource%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20kimi-datasource%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/wangyuahn-kimi-datasource/install","manifest":"https://www.openagentskill.com/api/registry/manifest/wangyuahn-kimi-datasource"}},"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":"finance-quant","title":"Finance and quant"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add wangyuahn/nori-code --skill kimi-datasource","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":13,"starsLabel":"13","forks":0,"license":"MIT","qualityScore":58,"trustScore":59,"auditScore":70},"maintenance":{"status":"fresh","label":"13d since push","daysSincePush":13,"lastPushedAt":"2026-08-22T12:23:41+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","SKILL.md instructs agents to pass a file_path to many APIs, but does not explicitly restrict it to /tmp or warn against writing to sensitive locations. A malicious prompt or untrusted backend response could cause the agent to request file writes outside the intended output directory.","The data returned from the backend may contain arbitrary content. SKILL.md does not warn agents to treat all returned data strictly as data, which could lead to indirect prompt injection if malformed metadata is misinterpreted as instructions."]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":70,"risk_level":"needs_review","risk_label":"Needs review","quality_score":58,"trust_score":59,"maintenance_score":100,"security_score":69,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","SKILL.md instructs agents to pass a file_path to many APIs, but does not explicitly restrict it to /tmp or warn against writing to sensitive locations. A malicious prompt or untrusted backend response could cause the agent to request file writes outside the intended output directory.","The data returned from the backend may contain arbitrary content. SKILL.md does not warn agents to treat all returned data strictly as data, which could lead to indirect prompt injection if malformed metadata is misinterpreted as instructions.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","GitHub adoption: 13 GitHub stars","Stars/forks activity: 13 stars, 0 forks; issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access"]},"quality_signals":{"model":"v2","star_score":8.02,"usage_score":0,"review_score":5.1,"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":"finance-quant","title":"Finance and quant","url":"https://www.openagentskill.com/use-cases/finance-quant"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"}],"install":"npx skills add wangyuahn/nori-code --skill kimi-datasource","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add wangyuahn-kimi-datasource","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 \"kimi-datasource\" agent skill from https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource. 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: Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases. This plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`. 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\":\"wangyuahn-kimi-datasource\",\"task\":\"Install kimi-datasource\",\"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 \"kimi-datasource\" as a Claude Code skill from https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource. 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: Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases. This plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`. 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\":\"wangyuahn-kimi-datasource\",\"task\":\"Install kimi-datasource\",\"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 \"kimi-datasource\" from https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource 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: Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, or Chinese laws/regulations and judicial cases. This plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`. 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\":\"wangyuahn-kimi-datasource\",\"task\":\"Install kimi-datasource\",\"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/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource","github_repo":"wangyuahn/nori-code","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/wangyuahn-kimi-datasource","repository":"https://github.com/wangyuahn/nori-code/tree/master/plugins/official/kimi-datasource","api":"/api/agent/skills/wangyuahn-kimi-datasource","install_api":"/api/skills/wangyuahn-kimi-datasource/install"},"meta":{"created_at":"2026-08-22T18:35:48.783222+00:00","updated_at":"2026-09-01T11:59:28.941454+00:00","agent_friendly":true}}