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 clinical-q-and-agit 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/clinical-q-and-a)<a href="https://agentmods.dev/skills/tencentcloud/octop/clinical-q-and-a"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/clinical-q-and-a/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/clinical-q-and-a"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/clinical-q-and-a.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 | $0.00071 | $0.01168 |
| Opus 5 | $0.00036 | $0.00584 |
| Sonnet 5 | $0.00014 | $0.00234 |
| Haiku 4.5 | $0.00007 | $0.00117 |
Grade A, and why
clinical-q-and-a 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 5d 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.
What it actually says
普通医学问答快路径
用于“这个说法准确吗”“怎么向患者解释某个常见误区”“某疾病与某风险是什么关系”等一般教育性问题。目标是可靠、简洁、尽快回答,不把普通问答扩展成指南章节研究。
不适用时立即转出
- 具体患者的诊断、处置、处方或急诊行动:按安全边界拒绝,不给替代步骤。
- 适应症、禁忌症、剂量、妊娠/儿童、严重不良反应、侵入性操作、监管或医保状态:转
source-verify完整核验及对应专业 skill。 - 用户要求最新版本、版本比较、推荐等级、证据等级或章/表/页/条目定位:转
source-verify完整核验。 - 用户要展开原文章节或学习路径:转
guideline-section-expansion。
快速取证
- 国内权威指南、共识或规范优先。默认只找 1 份足以覆盖问题的现行正式正文,不调用子代理,不收集第二、第三份“佐证”。
- 先读取
../../references/verified-source-entrypoints.yaml并匹配别名;命中且未过recheck_after时直接抓取canonical_url,核对标题、机构、年份/版本与支持本次解释的正文后停止,不再搜索“最新”。 - 未命中时做 1 次国内权威域限定搜索,并抓取最匹配的 1 份正文。优先
cs.medjournals.cn、bi-dmp-cs.yiigle.com、cjournal.hep.com.cn、已知同源附件或官方转载;nhc.gov.cn、gov.cn、nmpa.gov.cn、cmde.org.cn、rs.yiigle.com、csco.org.cn等高拦截主站不作为第一宽泛目标,除非已有精确直达链接或事实必须由该主管机构确认。目标由专业分会发布但路由不确定时,才读取../../references/professional-society-source-routes.yaml;不得遍历全部分会。 - 国内无覆盖或用户明确要求国际依据时,才读取
../../references/international-guideline-source-routes.yaml:默认池固定为 WHO、NICE、ESC、ADA、KDIGO,只访问最匹配的 1 站;明确涉及 GINA、GOLD、ACG、EASL 等体系时直接访问对应官网。首站确实不覆盖时最多增加 1 站,顺序执行,不并行。 - 正常预算为 1 次搜索 + 1 次抓取;整个回合硬上限 3 次搜索 + 3 次抓取,失败、降级和改稿都计入。取得最新、身份确定、正文可核验且覆盖问题的权威文件后立即停止。
- 原文阻断时才调用
medical-source-failover。只允许一个最合适的同文献替代路径;明确的验证码、登录墙或 403/412 不重试原地址。
快速核验只要求:权威机构/正式域、规范性文档类型、标题、发布机构、年份/版本、正文能够支持本次主张。官方正文未标 DOI 或证据等级时如实说明,不为补字段继续搜索。搜索摘要、解读和转载不能支持精确临床事实。
回答结构与轻量自检
直接输出,不加载 output-format、不写草稿文件、不运行 validate_output.py:
【临床学习问答|{主题}】
结论:{先回答准确/不准确/需要条件化理解}
解释:{2-4 个简明要点,只写原文能够支持的范围}
证据说明:{指南/共识;原文有等级则保留,没有则写未标注}
边界:本回答用于医学学习和沟通参考,不提供个体诊疗或处方建议。
来源:{正式文件名称}:[链接]({权威原文 URL})
发送前在同一推理回合只检查四项:有结论、有边界、有一条权威原文来源、没有超出正文或落入个体诊疗。发现缺项直接修正文案,不开启新一轮检索。若未取得权威正文,改为简短失败回执,不凭记忆补全。
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.
- 5d ago Changed · +9 lines 82257b637e6b
- 12d ago First seen · 42 lines · 71 tokens per session scan A 273c1aa59779
clinical-q-and-a is a skill published in the GitHub repository TencentCloud/Octop (1,579 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 1,168 once invoked, about $0.0004 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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