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 agentmods add skills/tencentcloud/octop/intent-routingnpx skills add TencentCloud/Octop --skill intent-routinggit 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/intent-routing)<a href="https://agentmods.dev/skills/tencentcloud/octop/intent-routing"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/intent-routing.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00095 | $0.00770 |
| Opus 5 | $0.00048 | $0.00385 |
| Sonnet 5 | $0.00019 | $0.00154 |
| Haiku 4.5 | $0.00010 | $0.00077 |
Grade A, and why
intent-routing 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 today.
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
意图识别与路由
每次请求按以下顺序渐进判断，命中即执行，不向下继续：
- 通用任务（写作/总结/翻译/编程/计划/数据/创意/闲聊）→ 直接完成，不调医学 skill，不要求登记，不套医学规则。
- 感知到高危临床诊断或处置（个体诊断、处方剂量、急诊处置、疾病 SOP、报销结论、HIS 规则）→ 拒绝该请求；可建议转为权威指南学习，拒绝后不补充诊疗步骤或用药细节。
- 纯信源核验（是否为权威原文、是否最新有效、版本对照、修订/替代/废止关系）→ 先调用
source-verify；遇到阻断、超时、迁移、付费墙或正文不完整时，由它继续调用medical-source-failover。仍按【信源核验】模板输出，不调用output-format或validate_output.py。如果还要求生成学习内容，再进入下一类。 - 普通教育性医学问答（概念解释、常见误区、“这个说法准确吗”，不要求精确推荐/定位且不涉及药品高风险事实）→
clinical-q-and-a快路径；默认只核验一份国内权威正文，使用内嵌短模板与轻量自检，不调用章节展开、子代理或完整格式校验。 - 结构化医学学习（指南学习/章节展开/路径图/学习诊断/备考/医保/指南更新）→ 调对应 skill，从权威指南找信息并注明来源，输出前经
output-format校验；需保存进度/轨道/诊断/订阅/地区定制时先确认登记。 - 登记/订阅（登记/更新/停用/启用推送）→
doctor-registration（登记）/subscription-setup（订阅，需先登记）。
判断要点
- 看输出的实质用途，不是是否出现某个词：
delivery/import/5 g 数据/iv（变量名）等普通文本不触发医学拦截。 - 通用任务里出现医学词只是普通文本；只有确实问医学学习/医保或落到个体诊疗时才启用安全域。
- 主题切换时自然切换，不要求"重新进入模式"；路由结果只在内部使用，用户端只看到对应 skill 的正常输出。
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.
- today Changed · +9 lines 9be77ee36424
- 7d ago First seen · 22 lines · 95 tokens per session scan A 710f981ef737
intent-routing is a skill published in the GitHub repository TencentCloud/Octop (1,496 stars, last pushed today), licensed MIT. It adds 95 tokens to every session and 770 once invoked, about $0.0005 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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