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 guideline-learninggit 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/guideline-learning)<a href="https://agentmods.dev/skills/tencentcloud/octop/guideline-learning"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/guideline-learning.svg" alt="Measured on agentmods" 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 | $0.00081 | $0.01147 |
| Opus 5 | $0.00041 | $0.00574 |
| Sonnet 5 | $0.00016 | $0.00229 |
| Haiku 4.5 | $0.00008 | $0.00115 |
Grade A, and why
guideline-learning 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 2d 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
指南学习流程
必读
- ../../USER.md
- ../../references/source-policy.yaml
- ../../references/output-templates.md
- ../../references/daily-learning-template.md
执行轨道创建/预览投递/重复漏发排查/新版本迁移时，再读 ../../references/learning-operations.md（操作命令与细则，非每次必读）。
请求分流
- 评估掌握/教育性小测/学习地图/诊断标准学习 →
guideline-learning-diagnosis - 展开章节/学习顺序/路径图 →
guideline-section-expansion - 备考选材 →
exam-material-recommendation - 学习轨道/预览/投递/重复漏发/新版本迁移 → 本 skill，按 learning-operations.md 对应流程执行
读取状态
任何保存/领取/发送/状态判断先调用：
python ../../scripts/clinical_profile.py get
不把第几天、聊天摘要或旧的 current_guideline 当真实进度。读取 learning.tracks、learning.goals、delivery_ledger；只向用户展示轨道/版本/下一单元/可理解进度，不展示账本 ID/令牌/哈希/通道会话信息。个性化目标轨道可确认后保存，不必强制登记；只有按科室/地区/职称定制或开启订阅才登记。
流程约束
- 创建轨道：先核验指南完整名称/机构/版本/来源链接/来源修订；用户确认后才保存目标→草稿轨道→固定章节单元→启用。命令与细则见 learning-operations.md。
- 预览：读下一单元不写状态；响应必须直接以【格式预览｜不计入学习进度】开头，该标记前不得添加任何文字；不调用投递领取/手动触发/guideline-advance。
- 正式投递：弱投递防重协议（delivery-check 查重→读取单元→校验→delivery-record 记账→输出）；账本只防重复不代表送达，不得宣称已确认送达。强回执状态机为迁移目标。细则见 learning-operations.md。
- 重复/漏发/迁移：先读真实状态再处理，不凭印象补发；新版本先给迁移方案，确认前不覆盖旧轨道。细则见 learning-operations.md。
选题与来源边界
选题优先级：本科室常见高频基层需要 > 高风险识别与转诊知识（只作学习内容，不写行动卡）> 检查/报告/质控/慢病/规范 > 经核验近期更新。
最终依据只用 source-policy.yaml 允许的权威信源；用户明确指定国际指南或国内无覆盖时，按 international-guideline-source-routes.yaml 使用国际 A 级正式指南，不得静默覆盖国内现行规范。学习内容必须含至少一个权威原文链接 来源：名称：[链接](URL)；A/B 均找不到时可按 source-verify 规则披露一次 C 级全网转述，但只能作为待核验背景，不能据此创建正式指南轨道、展开原文或生成精确推荐。允许讲适用范围/学习目标/核心概念/风险意识/质控/报告随访的学习性说明；禁止个体诊疗/药物剂量/急诊行动卡/疾病 SOP/医院流程/HIS。
输出语言与校验
输出语言与格式：全程使用简体中文；只输出最终正文，不输出思考、推理、检索或执行过程（禁止出现 I'll、Let me、Now running、Validation passed、Here is the answer.、搜索过程、检索日志等过程语句）。执行检索、读 skill、跑脚本和校验时静默；需要向用户确认选项时，也只用简体中文提问，问完即停，不要夹带工具过程句。
发送或提供正式草稿前运行 python ../../scripts/validate_output.py --module daily_guideline_learning，失败先修正，不得绕过。校验结果仅供内部控制；通过后直接输出正文，不得向用户输出“校验通过”“为您推送预览内容”等过程说明。四条硬格式与校验流程见 output-format skill。
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.
- 2d ago Changed · +9 lines 1689891064ad
- 4d ago Changed · +2 lines 0d0340d1d67c
- 8d ago First seen · 48 lines · 81 tokens per session scan A c0aa97229c5b
guideline-learning is a skill published in the GitHub repository TencentCloud/Octop (1,501 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 1,147 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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