Octop is a self-hosted, multi-user AI assistant that runs multiple specialized agents and connects them to chat interfaces, tools, and external services. It is for individuals, families, and teams who want a locally operated assistant with shared experts and persistent capabilities. Catalogue add-ons extend its agent and assistant workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add TencentCloud/Octop --skill doctor-registrationgit clone --depth 1 https://github.com/TencentCloud/OctopWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tencentcloud/octop/doctor-registration)<a href="https://agentmods.dev/skills/tencentcloud/octop/doctor-registration"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/doctor-registration/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tencentcloud/octop/doctor-registration"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/doctor-registration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00115 | $0.01337 |
| Opus 5 | $0.00057 | $0.00668 |
| Sonnet 5 | $0.00023 | $0.00267 |
| Haiku 4.5 | $0.00012 | $0.00134 |
Grade A, and why
doctor-registration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
医生登记、更新与停用
必读边界
登记、更新或清除前，必须先阅读并遵守：
- ../../USER.md（脚本生成的只读摘要，如果存在）
- ../../references/compliance-boundary.md
登记、更新、清除都必须调用 ../../scripts/clinical_profile.py。不得直接编辑 USER.md，也不得自行寻找其他 USER.md。订阅任务创建不在本技能范围内，由 subscription-setup skill 负责。
登记字段
只收集以下 5 项医生信息：
- 称谓：可用姓氏、昵称或某医生，不要求真实姓名。
- 所在地区：省 / 市 / 区县。
- 所在医院。
- 所在科室。
- 当前职称。
不得索取患者信息。不得把医院能力、设备条件、床位规模等问题变成强制登记表。
学习目标、学习诊断摘要和学习轨道可在用户确认后单独保存；它们不要求这 5 项信息。只有用户需要按地区、医院、科室、职称定制或开启订阅推送时才登记。
同意与隐私
在保存登记信息前，必须获得医生对这 5 项信息处理的明确同意。若用户已经给出字段但没有明确同意，先要求确认，不得直接写入状态或生成回执。
登记信息通过档案脚本写入结构化状态，再由脚本自动生成 USER.md。如果脚本拒绝写入，不得向用户宣称登记已完成。不得把患者信息写入任何档案。
推荐命令：
python ../../scripts/clinical_profile.py get
python ../../scripts/clinical_profile.py register --display-name <称谓> --region <地区> --hospital <医院> --department <科室> --title <职称> --consent-confirmed true
python ../../scripts/clinical_profile.py clear --confirm true
如果当前工作目录不是 skill 目录，使用专家包根目录下的脚本；不要传入文件路径参数。
渐进式补齐规则
登记可能跨多轮完成。每轮只问一个缺失字段，不要一次性列出完整表格，除非用户主动要求一次性补齐。
推荐顺序：
- 称谓：后续怎么称呼您？可以用姓氏、昵称或某医生，不需要真实姓名。
- 地区：您主要关注哪个地区的医保政策？请按省 / 市 / 区县说即可。
- 医院：您所在医院怎么记录？可以用医院简称。
- 科室：您现在主要在哪个科室？
- 职称：您当前职称是？例如住院医师、主治、副高、正高，或质控/医保/病案等岗位。
处理规则：
- 先调用脚本 get 或读取脚本生成的 USER.md 判断已有状态；如果已经有同意状态和完整 5 项信息，直接进入变更处理，不重复追问。
- 如果用户尚未明确同意处理 5 项信息，先只问是否同意，不追问其他字段。
- 如果用户已经同意但信息不完整，只追问下一个缺失字段。
- 如果用户一次性提供多项信息，提取已知字段，并只追问下一个缺失字段或确认同意。
- 如果用户提供患者信息，忽略患者信息并提示本助手不保存患者个人信息。
登记完成后
5 项齐全且用户明确同意后，调用 register。脚本负责地区规范化、科室系统识别、职称深度映射和 USER.md 生成；不要在回复中暴露脚本输出 JSON。
登记回执给出后，按用户意图分流（由 intent-routing skill 路由）：
- 用户要开启订阅任务（每日指南学习/指南更新提醒/医保学习）→ 转交
subscription-setupskill 创建。 - 用户要学习诊断、章节展开、备考选材、医保问答等其他意图 → 由
intent-routing路由到对应 skill。 - 后续推送默认从脚本生成的 USER.md 读取地区、医院、科室和职称深度，不反复询问 5 项登记信息。
禁止项
不得创建、暗示或宣称已经启用以下能力：
- 疾病诊治 SOP。
- 急诊行动卡。
- 患者问诊或个体患者建议。
- 药物剂量、给药途径、频次、疗程生成。
- HIS 决策支持或弹窗规则。
- 医保报销结论、支付比例承诺或医院可报销判断。
输出要求
登记回执使用 ../../references/output-templates.md 中的模板。只有 register 返回 ok: true 后，才能输出已记录。每次回执都必须包含医学学习边界说明：基于权威指南做学习与政策摘要，不提供个体诊疗、处方剂量；急诊处置与医保报销只提供指南/政策层面的学习性建议，不作为执行或报销依据；用户的普通通用任务可直接处理，不需要登记。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago Changed · +9 lines 9fac7a15b1ac
- 11d ago First seen · 89 lines · 115 tokens per session scan A 6940d6375c2c
doctor-registration is a skill published in the GitHub repository TencentCloud/Octop (1,533 stars, last pushed today), licensed MIT. It adds 115 tokens to every session and 1,337 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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