Agent skill

Scbert Skill

by infometa in infometa/workbuddyskills

基于腾讯scBERT模型,实现细胞精细注释、新亚群挖掘及Marker筛选,自适应多组织参数,助力肿瘤细胞研究. An agent skill from infometa/workbuddyskills.

No licenceAuto-check passed

Install Scbert Skill

skills CLI
$ npx skills add infometa/workbuddyskills --skill scbert-skill -a claude-code

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

GitHub CLI
$ gh skill install infometa/workbuddyskills scbert-skill --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/omics-scbert-expert/skills/scbert-skill .claude/skills/scbert-skill && 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
scbert-skill
GitHub stars
344
Token cost
~3.8k tokens
SKILL.md length
684 words
Files
8 (incl. scripts, references)
Skills in repo
212
Repo updated
First seen
Licence
None found

At a glance

基于腾讯scBERT模型,实现细胞精细注释、新亚群挖掘及Marker筛选,自适应多组织参数,助力肿瘤细胞研究. An agent skill from infometa/workbuddyskills.

  • Works in 7 steps: :鉴权与配置双重检查 → :登录授权 → :配置引导 → …
  • SKILL.md covers 应用锁定参数(SKILL 内部硬编码,禁止覆盖), 能力边界, 退出码 & 鉴权处理 and Step −1:CLI 存在性检查, plus 9 more sections
  • Runs Python scripts from its folder; calls python3; reaches cloud.tencent.com

What it does

Scbert Skill is an agent skill from infometa/workbuddyskills. 基于腾讯scBERT模型,实现细胞精细注释、新亚群挖掘及Marker筛选,自适应多组织参数,助力肿瘤细胞研究

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `CONTRACT.md`, `references/cli-whitelist.md` and `references/omics-cli-setup.md`).

The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.

Example prompts

  • “/scbert-skill”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. :鉴权与配置双重检查
  2. :登录授权
  3. :配置引导
  4. :导入前同名检查(必经,必须通过才能导入)
  5. :运行(仅形态 B · 固定公共应用)
  6. :状态查询
  7. :异步失败取证(debug 三段式)

What it can do on your machine

Read from SKILL.md and the folder at commit 75a5ad9. 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 1 file 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:

    • cloud.tencent.com

    Also links to:

    • console.cloud.tencent.com
    • omics.qq.com

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Scbert Skill loads about 3.8k tokens when it runs, and up to ~23k if it reads all its reference files. Until then it costs about 17 tokens; SKILL.md has 684 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~17
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~23k

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 684 words (~3,825 tokens).

name
scbert-skill
triggers
scBERT实现细胞精细注释, 新亚群挖掘, Marker筛选。, scBERT, scbert, 单细胞与多组学基础模型, 跑 scBERT, run scbert
platform
腾讯健康组学平台(Omics)
tags
行业专业, 生信分析, 生物医药, omics, 腾讯健康组学平台, public-app
version
1.0.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 7 other files (scripts, references) in experts/omics-scbert-expert/skills/scbert-skill of infometa/workbuddyskills.

  • SKILL.md
  • CONTRACT.md
  • references/cli-whitelist.md
  • references/omics-cli-setup.md
  • references/run-flow-spec.md
  • references/runtime_error_kb.md
  • references/skill-template.md
  • scripts/omics_cli.py

Open the folder on GitHubat commit 75a5ad9

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Questions about Scbert Skill

What does Scbert Skill do?

基于腾讯scBERT模型,实现细胞精细注释、新亚群挖掘及Marker筛选,自适应多组织参数,助力肿瘤细胞研究. An agent skill from infometa/workbuddyskills. Scbert Skill is an agent skill from infometa/workbuddyskills.

How do I install Scbert Skill in Claude Code?

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

How do I install Scbert Skill in Codex?

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

Can I use Scbert Skill 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 scbert-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scbert-skill, .gemini/skills/scbert-skill, .github/skills/scbert-skill and .opencode/skills/scbert-skill in your project.

What does Scbert Skill need to run?

Going by SKILL.md and its folder, Scbert Skill needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Scbert Skill access the network?

SKILL.md names 3 domains. In commands or code: cloud.tencent.com; the agent is likely to contact it when it follows the instructions. As links in the text: console.cloud.tencent.com and omics.qq.com. This is read from the text; nothing was executed.

Is Scbert Skill 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 Scbert Skill use?

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

How many tokens does Scbert Skill use?

About 3.8k tokens (SKILL.md is roughly 15k 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 19k tokens, read only when the agent opens those files.

Who maintains Scbert Skill?

infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 344 GitHub stars. The repository holds 212 skills in this directory. The repository was last updated on October 7, 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.