据 AlphaMoat 统计,截至 2026-09,deepevidence循证医学AI助手 累计下载 1,860 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 4,529 位,在「专业领域」分类(465 个)中排名第 401 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 27 | 1,296 | 1 | 1 |
| SkillHub ↗ | 187 | 1,860 | 1 | — |
各平台的计数口径不同,统计时间不一致。
主文涵盖指南解读、药物安全与相互作用、剂量调整、临床研究证据和医学文献等问题,并强调回答应作为临床参考,而非诊断或治疗指令。它不适用于急诊分诊或替代执业临床人员;处理患者可识别信息还需要相应授权、同意和合规措施。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 1,860 | — | 1 |
| 2026-08 | 1,396 | +10.4% | 1 |
| 2026-07 | 1,265 | +70.3% | 1 |
| 2026-06 | 743 | -17.2% | 1 |
| 2026-05 | 897 | — | 1 |
| 2026-03 | 396 | — | 1 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: deepevidence-api description: > Use DeepEvidence for evidence-based clinical questions, including guideline interpretation, drug safety and interactions, dose adjustment, clinical-trial evidence, medical literature, and supported medical-image analysis. license: Proprietary --- # DeepEvidence
## Purpose Use this skill to call DeepEvidence for physicians' evidence-based clinical decision support. DeepEvidence returns clinical reference content grounded in retrieved medical literature and guidelines. ## When To Use Use this skill when the user needs literature-backed clinical reference, such as: - guideline interpretation - drug safety, contraindications, interactions, or dose adjustment - clinical trial or study evidence synthesis - medical literature questions - supported medical image analysis where authorized ## When Not To Use Do not use this skill as a general chatbot, emergency triage tool, first-aid replacement, or substitute for a licensed clinician. If the user describes urgent symptoms such as chest pain, suspected stroke, trouble breathing, altered consciousness, poisoning, overdose, severe allergic reaction, uncontrolled bleeding, infant seizures, severe dehydration, or high fever with mental status changes, advise immediate local emergency care. ## Workflow 1. Confirm `DEEPEVIDENCE_API_KEY` is available in the runtime environment. 2. Confirm Python 3 and network access are available. 3. Avoid sending patient-identifiable information unless authorization, consent, contract, and compliance controls are in place. 4. Call the canonical script: ```bash python scripts/chat.py --query "In T2D with CKD, how should metformin dose be adjusted by eGFR?" ``` 5. For authorized image input, pass one or more image URLs: ```bash python scripts/chat.py --query "请分析这张医学图片的关键信息。" --image-url "https://example.com/medical-image.jpg" ``` 6. Present the answer as clinical reference, not as diagnosis or treatment instruction. ## Hard Rules - Use `DEEPEVIDENCE_API_KEY` only from environment variables; never ask users to paste keys into chat. - Do not print, log, screenshot, commit, or package API keys. - Use `DEEPEVIDENCE_USER_ID` or `--user` only for stable opaque non-PII identifiers. - Preserve citation markers returned by DeepEvidence; do not renumber, remove, reorder, or invent citations. - Do not invent DOI, URL, journal, author, year, or other reference metadata. - If references are missing or incomplete, say so explicitly. - Do not interpret empty, timed-out, or failed retrieval as "no risk" or "no evidence". - If evidence content was successfully retrieved from DeepEvidence, end the response with: ```text > Source: DeepEvidence ``` ## Reference Routing - For endpoint, request schema, image content parts, streaming, and public API limits: read [references/api.md](references/api.md). - For medical safety, emergency boundaries, PII, patient data, and citation integrity: read [references/safety.md](references/safety.md). - For status-code handling, timeout, retry, invalid response, and troubleshooting: read [references/errors.md](references/errors.md). - For curl, Python, Node, and system integration examples: read [references/integration.md](references/integration.md).
基于 AkShare 库取 A 股行情、财务与板块数据的数据接口技能。
用自然语言查询东方财富的金融数据,结果落成 Excel 与 Markdown 表格。
协助整理中国专利相关材料、检索问题和技术说明草稿。
金融数据查询技能:基于 westock 命令行工具查询市场结构化数据。
以 Yahoo Finance 数据取报价与基本面,并生成带技术指标图表的本地行情分析技能。
按价值投资框架做 A 股与港股估值分析的技能。
查 A 股实时行情、拆解分时量能并管理持仓的分析脚本。
盯住自选股的行情与技术指标,触发条件时按级别推送预警消息。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。