guideline-learning-diagnosis

guideline-learning-diagnosis is a skill for Claude Code, Codex from TencentCloud/Octop. It costs 101 tokens per session (1,712 once invoked), scanned A, original, MIT.

A study aid for learning a medical guideline or its diagnostic criteria. It helps assess what someone knows, find weak sections, and plan further study without diagnosing a real patient.

In plain words
What is it for?
Use it to review a guideline, take an educational quiz, map its diagnostic criteria and differential framework, or create a study and revision plan.
Why use it?
It separates learning about diagnosis from making a diagnosis. This keeps study support focused on the guideline, its evidence, and the learner’s progress.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review a guideline, take an educational quiz, map its diagnostic criteria and differential framework, or create a study and revision plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tencentcloud/octop/guideline-learning-diagnosis
About the project

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.

TencentCloud/Octop · 1,533 stars · on GitHub · octop.cloud

Install

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.

Any agent
npx skills add TencentCloud/Octop --skill guideline-learning-diagnosis
Clone the repo
git clone --depth 1 https://github.com/TencentCloud/Octop

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for guideline-learning-diagnosis

README.md
[![agentmods](https://agentmods.dev/badge/skills/tencentcloud/octop/guideline-learning-diagnosis/github.svg)](https://agentmods.dev/skills/tencentcloud/octop/guideline-learning-diagnosis)
Your own site
<a href="https://agentmods.dev/skills/tencentcloud/octop/guideline-learning-diagnosis"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/guideline-learning-diagnosis/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.

agentmods 80×15 button for guideline-learning-diagnosis

Your own site · 80×15
<a href="https://agentmods.dev/skills/tencentcloud/octop/guideline-learning-diagnosis"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/guideline-learning-diagnosis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,712 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00101 $0.01712
Opus 5 $0.00051 $0.00856
Sonnet 5 $0.00020 $0.00342
Haiku 4.5 $0.00010 $0.00171

Measured 5d ago against content hash 20f1b6d82ebe, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

guideline-learning-diagnosis 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.

src/octop/infra/agents/experts/library/clinical-learning-subscription/skills/guideline-learning-diagnosis/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

指南学习诊断与诊断标准学习

先分清三类诊断

用户说诊断时,先按上下文归入下面之一;名称相近,不得混用:

类型 是否允许 处理方式
学习诊断/学习评估 允许 评估学习目标、知识覆盖度、薄弱章节和复习路径。
指南中的诊断标准学习 允许 讲解定义、标准要素、鉴别框架、风险提示和流程关系,并给原文来源。
具体患者诊断或处理 不允许 不根据病例、症状、检查或影像得出诊断、检查或治疗结论;转为一般性学习资料与权威来源。

如果用户意图仍不清楚,只问一个澄清问题:您是想评估自己对指南的掌握,还是学习指南中的诊断标准?请不要提供患者可识别信息。

必读边界

处理医学学习请求前,阅读并遵守:

  • ../../USER.md(如存在,仅作为个性化学习的只读摘要)
  • ../../references/compliance-boundary.md
  • ../../references/source-policy.yaml
  • ../../references/learning-diagnosis-template.md
  • ../../references/learning-track-template.md

普通、一次性的学习评估不要求完成 5 项医生登记。只有用户要求保存学习目标、轨道、连续进度、微信订阅或按科室/地区个性化时,才取得所需同意和最小化信息。

工作流 A:学习诊断

1. 收集最少必要信息

优先从用户已有内容提取;仅缺失时再追问:

  1. 学习目标:工作复习、职称/考试、更新追踪或带教。
  2. 指南/主题:完整名称、版本/年份或至少主题。
  3. 当前学习信号:自评、已经学习的章节,或本次小测答案。
  4. 每天可投入时间和目标日期(仅在需要制定计划时)。

不要索取患者姓名、病历、检查报告、处方、影像或真实病例细节。不要把科室、医院、地区等已有档案字段透露到无关通用任务。

2. 核验学习依据

当用户要求基于指南时,先按 source-verify 规则确认:完整文件名、发布机构、版本/年份、适用范围、权威原文链接,以及是否存在替代版本。

  • 没有可核验指南时,输出学习需求初评,明确待选定指南;不能假称依据来自最新指南。
  • 已确认指南时,每个学习结论关联最相关的章节或主题,并在正文保留来源行。
  • 不复制或展开受版权限制的完整指南;优先给学习地图、章节定位、摘要和官方/授权原文跳转。

3. 形成学习诊断

只使用以下措辞表达学习信号:建议从基础复习、建议巩固、可进入下一层、证据不足,待复测。不得写合格/不合格、可以独立诊疗、不具备临床能力等能力认证结论。

学习诊断至少包括:

  • 本次范围、学习目标和依据版本。
  • 已有学习信号:明确哪些来自用户自评、哪些来自本次作答。
  • 不超过 3 个优先补齐的概念/章节,每一项解释为什么优先。
  • 一条可执行的下一步:展开章节、查看学习流程图、做下一组题,或形成候选学习轨道。

如用户要求小测:每轮最多 3-5 道题,考指南的适用范围、概念区分、章节结构、证据理解或更新点。不得使用真实患者案例、药物剂量、处方、急诊行动或对这个患者下一步怎么做的题目。回答后即时给出与来源对应的学习性解释;不把正确率当作临床能力证明。

4. 保存动作全部可选

默认不持久化本次自评、答案、学习诊断或候选计划。用户明确说保存这次学习诊断、保存学习目标或保存计划时,先复述将保存的字段并确认不含患者信息。

只保存诊断摘要时使用:

python ../../scripts/clinical_profile.py learning-diagnosis-save \
  --goal <学习目标> --self-assessed-level <needs_foundation|developing|confident> \
  --available-minutes-per-day <5-240> --priority-topic <优先主题,可重复> \
  --recommended-start <建议从哪一章节或任务开始> --confirm true

如已核验指南,再追加 --guideline-title 和 --source-url。没有可核验来源时不要编造链接。

保存学习目标时,先使用 guideline-learning skill 的 learning-goal-save。学习目标可以关联多个轨道,但诊断本身不会自动创建轨道,也不会自动开始投递。

只有用户明确确认版本、章节范围、节奏和保存意图时,才调用 guideline-learning skill 创建轨道、保存单元并启用。候选轨道的输出必须明确写未保存、未启用、未开始推送。

Read the full file on GitHub · 120 lines

Changes

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.

  1. 5d ago Changed · +9 lines 20f1b6d82ebe
  2. 11d ago First seen · 111 lines · 101 tokens per session scan A b406e02719f2

Subscribe to this mod's changes

guideline-learning-diagnosis is a skill published in the GitHub repository TencentCloud/Octop (1,533 stars, last pushed today), licensed MIT. It adds 101 tokens to every session and 1,712 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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