Agent skill

Pneumonia AI Diagnosis

by infometa in infometa/workbuddyskills

调用肺炎AI辅助诊断模型API,支持提交胸部CT DICOM压缩包进行异步分析、查询分析结果、以及自动轮询等待结果完成。采用HMAC-SHA256签名鉴权。触发词:肺炎检测、肺炎AI、胸部CT分析、pneumonia、DICOM、肺炎查询。

No licenceAuto-check passedResearch & Science

Install Pneumonia AI Diagnosis

skills CLI
$ npx skills add infometa/workbuddyskills --skill pneumonia-ai-diagnosis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install infometa/workbuddyskills pneumonia-ai-diagnosis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experts/pneumonia-ai-analyst/skills/pneumonia-ai-diagnosis .claude/skills/pneumonia-ai-diagnosis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pneumonia-ai-diagnosis
GitHub stars
348
Token cost
~1.9k tokens
SKILL.md length
504 words
Files
5 (incl. scripts, references)
Skills in repo
218
Repo updated
First seen
Licence
None found

At a glance

调用肺炎AI辅助诊断模型API,支持提交胸部CT DICOM压缩包进行异步分析、查询分析结果、以及自动轮询等待结果完成。采用HMAC-SHA256签名鉴权。触发词:肺炎检测、肺炎AI、胸部CT分析、pneumonia、DICOM、肺炎查询。

  • Works in 4 steps: 提交任务后检查返回 head.code 是否为 0,且 head.taskId 非空 → 查询任务后检查 status 字段是否为"处理完成"或"处理失败" → 处理完成时验证 pneumoniaSign 和… → …
  • Tasks that involve Clinical and healthcare research
  • SKILL.md covers 一、触发条件, 二、鉴权方式, 三、接口说明 and 四、结果展示, plus 5 more sections
  • Runs Python scripts from its folder; calls python3; reaches pacs.qq.com; needs INVALID_TOKEN

What it does

Pneumonia AI Diagnosis is an agent skill from infometa/workbuddyskills. 调用肺炎AI辅助诊断模型API,支持提交胸部CT DICOM压缩包进行异步分析、查询分析结果、以及自动轮询等待结果完成。采用HMAC-SHA256签名鉴权。触发词:肺炎检测、肺炎AI、胸部CT分析、pneumonia、DICOM、肺炎查询。

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api_pneumonia.md`, `scripts/pneumonia_poll.py` and `scripts/pneumonia_query.py`).

It sits in Research & Science, covering Clinical and healthcare research. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.

When your agent uses it

  • Tasks that involve Clinical and healthcare research

Example prompts

  • “/pneumonia-ai-diagnosis”

Requirements

  • Python 3
  • A credential in INVALID_TOKEN

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 提交任务后检查返回 head.code 是否为 0,且 head.taskId 非空
  2. 查询任务后检查 status 字段是否为"处理完成"或"处理失败"
  3. 处理完成时验证 pneumoniaSign 和 pneumoniaAnalysis 非空
  4. 签名错误时检查系统时间是否与NTP同步

What it can do on your machine

Read from SKILL.md and the folder at commit 91b77ea. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • pacs.qq.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • INVALID_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pneumonia AI Diagnosis loads about 1.9k tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 504 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 504 words (~1,936 tokens).

name
pneumonia-ai-diagnosis
description_zh
肺炎AI辅助诊断
description_en
Pneumonia AI Diagnosis
disable
false
agent_created
true

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (scripts, references) in experts/pneumonia-ai-analyst/skills/pneumonia-ai-diagnosis of infometa/workbuddyskills.

  • SKILL.md
  • references/api_pneumonia.md
  • scripts/pneumonia_poll.py
  • scripts/pneumonia_query.py
  • scripts/pneumonia_submit.py

Open the folder on GitHubat commit 91b77ea

Compare with similar skills

Pneumonia AI Diagnosis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pneumonia AI Diagnosis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pneumonia AI Diagnosis this skillinfometa/workbuddyskills348—~1.9kAutomated safety check: PassNone
Clinical Trials Databasegoogle-deepmind/science-skills3.2k2 repos~3.2kAutomated safety check: PassApache-2.0
CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw6171 repos~1.8kAutomated safety check: PassNone
Biomedical Analysis Dispatchxjtulyc/MedgeClaw6171 repos~2kAutomated safety check: PassNone
Research Paperluwill/research-skills862—~1.9kAutomated safety check: PassNone
Research Proposalluwill/research-skills862—~4.5kAutomated safety check: NotesNone

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Questions about Pneumonia AI Diagnosis

What does Pneumonia AI Diagnosis do?

调用肺炎AI辅助诊断模型API,支持提交胸部CT DICOM压缩包进行异步分析、查询分析结果、以及自动轮询等待结果完成。采用HMAC-SHA256签名鉴权。触发词:肺炎检测、肺炎AI、胸部CT分析、pneumonia、DICOM、肺炎查询。. Pneumonia AI Diagnosis is an agent skill from infometa/workbuddyskills.

When should I use Pneumonia AI Diagnosis?

Pneumonia AI Diagnosis fits situations like: tasks that involve Clinical and healthcare research.

How do I install Pneumonia AI Diagnosis in Claude Code?

Run `npx skills add infometa/workbuddyskills --skill pneumonia-ai-diagnosis -a claude-code`. Or copy the skill folder (experts/pneumonia-ai-analyst/skills/pneumonia-ai-diagnosis in infometa/workbuddyskills) into .claude/skills/pneumonia-ai-diagnosis in your project. Claude Code loads it when a task matches its description.

How do I install Pneumonia AI Diagnosis in Codex?

Run `npx skills add infometa/workbuddyskills --skill pneumonia-ai-diagnosis -a codex`. Or copy the skill folder (experts/pneumonia-ai-analyst/skills/pneumonia-ai-diagnosis in infometa/workbuddyskills) into .agents/skills/pneumonia-ai-diagnosis in your project. Codex loads it when a task matches its description.

Can I use Pneumonia AI Diagnosis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add infometa/workbuddyskills --skill pneumonia-ai-diagnosis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pneumonia-ai-diagnosis, .gemini/skills/pneumonia-ai-diagnosis, .github/skills/pneumonia-ai-diagnosis and .opencode/skills/pneumonia-ai-diagnosis in your project.

What does Pneumonia AI Diagnosis need to run?

Going by SKILL.md and its folder, Pneumonia AI Diagnosis needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named INVALID_TOKEN. Our summary lists: Python 3; A credential in INVALID_TOKEN.

Does Pneumonia AI Diagnosis access the network?

SKILL.md names 1 domain. In commands or code: pacs.qq.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Pneumonia AI Diagnosis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Pneumonia AI Diagnosis use?

No licence was found for Pneumonia AI Diagnosis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Pneumonia AI Diagnosis use?

About 1.9k tokens (SKILL.md is roughly 7.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.5k tokens, read only when the agent opens those files.

What are the alternatives to Pneumonia AI Diagnosis?

Skills that share tags, products or a category with Pneumonia AI Diagnosis: Clinical Trials Database (google-deepmind/science-skills, 3.2k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars) and Research Paper (luwill/research-skills, 862 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pneumonia AI Diagnosis?

infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 348 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 9, 2026.

Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.