Agent skill

Sn Team Harness

by OpenSenseNova in OpenSenseNova/SenseNova-Skills

A skill your agent uses when a user asks what SenseNova Team Harness is, wants an introduction or overview, is getting started, or is deciding whether it fits — a self-hosted workspace where people…

MITAuto-check: notes

Install Sn Team Harness

skills CLI
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-team-harness -a claude-code

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

GitHub CLI
$ gh skill install OpenSenseNova/SenseNova-Skills sn-team-harness --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/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sn-team-harness .claude/skills/sn-team-harness && 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
sn-team-harness
GitHub stars
5.7k
Token cost
~668 tokens
SKILL.md length
164 words
Files
1
Skills in repo
36
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when a user asks what SenseNova Team Harness is, wants an introduction or overview, is getting started, or is deciding whether it fits — a self-hosted workspace where people…

  • Works in 6 steps: 创建 Workspace,通过可撤销的 Join Link 邀请成员。 → 创建 Project 和 Agent,为 Agent 绑定一台已上线的… → 在 Conversation 中 @Agent,或创建 WorkItem… → …
  • A user asks what SenseNova Team Harness is
  • SKILL.md covers 核心概念, 主要能力, 适用场景 and 快速开始(自托管), plus 3 more sections
  • Calls npm and git; reaches github.com

What it does

Sn Team Harness is an agent skill from OpenSenseNova/SenseNova-Skills. Use when a user asks what SenseNova Team Harness is, wants an introduction or overview, is getting started, or is deciding whether it fits — a self-hosted workspace where people and local AI agents collaborate on conversations, projects, work items, and artifacts. Covers its core concepts (Workspace, Project, Conversation, Agent, WorkItem, Resource, Artifact, Local Computer), main capabilities, how to run it, and the basic usage flow.

Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with npm. The repository describes itself as: Modular SenseNova skills for building AI-powered office assistants and productivity workflows. The licence is MIT.

When your agent uses it

  • A user asks what SenseNova Team Harness is
  • Wants an introduction
  • Is getting started
  • Is deciding whether it fits — a self-hosted workspace where people and local AI agents collaborate on conversations

Example prompts

  • “/sn-team-harness”

Requirements

  • Node.js
  • Docker

Workflow steps

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

  1. 创建 Workspace,通过可撤销的 Join Link 邀请成员。
  2. 创建 Project 和 Agent,为 Agent 绑定一台已上线的 Local Computer Runtime。
  3. 在 Conversation 中 @Agent,或创建 WorkItem 指派负责人;把输入文件作为 Resource 上传到 Project。
  4. Local Computer 在本地运行 Agent;Agent 读取讨论上下文和 Resource,用消息回复或发布 / 更新 Artifact。
  5. 团队在任务看板和 Artifact 版本历史中查看进展、负责人和最终成果。
  6. 并发写入冲突时,候选结果保留为本地 Held Draft,Agent 读取最新版本后显式 retry / discard / force。

What it can do on your machine

Read from SKILL.md and the folder at commit 7838651. 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

    Shell commands in SKILL.md call:

    • npm
    • git

    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:

    • github.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

Sn Team Harness loads about 668 tokens when it runs. Until then it costs about 114 tokens; SKILL.md has 164 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~114
When it runs · the whole SKILL.md, loaded when a task matches
~668

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:52
    cp .env.example .env
  • NoteMentions a .env fileSKILL.md:74
    - 不要把 `.env`、token、SQLite 文件、本地工作目录或日志提交到代码仓库。

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from OpenSenseNova/SenseNova-Skills at commit 7838651, republished under its MIT licence (© OpenSenseNova). 164 words, ~668 tokens.

Download SKILL.mdSave it as .claude/skills/sn-team-harness/SKILL.md (or your agent's skills folder).
name
sn-team-harness
description
Use when a user asks what SenseNova Team Harness is, wants an introduction or overview, is getting started, or is deciding whether it fits — a self-hosted workspace where people and local AI agents collaborate on conversations, projects, work items, and artifacts. Covers its core concepts (Workspace, Project, Conversation, Agent, WorkItem, Resource, Artifact, Local Computer), main capabilities, how to run it, and the basic usage flow.

SenseNova Team Harness

SenseNova Team Harness 是一个自托管的团队协作工作区,让人和本地 AI Agent 围绕 同一份工作协同:讨论、待办、AI 执行和最终成果都放在同一个空间里。它把 「提出问题 → 分配工作 → 持续推进 → 交付成果」连成一条完整、可审计的协作链, 让 AI 真正作为团队成员参与,而不是把回答留在个人聊天窗口里。

核心概念

概念说明
Workspace团队共享空间,是共享协作事实的唯一权威来源。
Project一个目标下的任务、讨论和交付物的集合。
Conversation团队讨论;可以在其中 @Agent 或创建待办。
Agent作为团队成员参与的 AI,绑定一台本地 Runtime 执行工作。
WorkItem一项待办工作,有负责人、状态和预期结果。
Resource人为 Project 上传的输入文件(数据、素材等),是 Agent 工作的原料,区别于 Artifact。
ArtifactAgent 产出的成果(报告、代码、方案等),独立于聊天,内容寻址、可版本化、可审核。
Local Computer连接服务并在成员自己电脑上运行 Agent 的本地客户端;凭据、文件和工作目录都留在本地。

主要能力

  • AI 进入团队日常:Agent 参与讨论、接受工作、回复问题,而非只属于某个人的聊天窗口。
  • 一句话变成一项工作:在讨论中 @Agent 或创建 WorkItem,明确负责人和预期结果。
  • 本地执行、数据留本地:Agent 在成员自己电脑上运行,读取 Project Resources、本地文件和工具;凭据和敏感数据不出本机。
  • 过程与成果可审计:任务状态、负责人、评论和阻塞可见;成果作为 Artifact 独立保存,可更新、下载、引用和复核。
  • 中断可恢复、多 AI 协作:离线或并发冲突时未发布结果会被保留;不同 Agent 可分担研究、写作、编程、审阅等。

适用场景

研究与分析、产品与运营、软件研发、内容与设计、知识与流程管理,以及多人多 AI 围绕同一目标分工、由人在关键节点验收的跨角色项目。

快速开始(自托管)

环境要求:Node.js 24 和 npm。服务端从源码运行,不提供 Docker 镜像和 npm 包。

bash
git clone https://github.com/OpenSenseNova/SenseNova-Skills-TeamHarness.git
cd SenseNova-Skills-TeamHarness
cp .env.example .env
npm ci
npm run dev

浏览器打开 http://localhost:5173。生产模式本地运行用 npm run build 后 NODE_ENV=production npm start。

基本使用流程

  1. 创建 Workspace,通过可撤销的 Join Link 邀请成员。
  2. 创建 Project 和 Agent,为 Agent 绑定一台已上线的 Local Computer Runtime。
  3. 在 Conversation 中 @Agent,或创建 WorkItem 指派负责人;把输入文件作为 Resource 上传到 Project。
  4. Local Computer 在本地运行 Agent;Agent 读取讨论上下文和 Resource,用消息回复或发布 / 更新 Artifact。
  5. 团队在任务看板和 Artifact 版本历史中查看进展、负责人和最终成果。
  6. 并发写入冲突时,候选结果保留为本地 Held Draft,Agent 读取最新版本后显式 retry / discard / force。

边界与注意事项

  • 早期自托管项目,本身不是生产安全边界。对公网开放前请自行补充身份系统、TLS、 密钥轮换、备份、监控、限流和威胁模型评审。
  • 不提供生产部署方案、Docker 镜像、原生安装器、npm 包或数据库迁移层。
  • 不要把 .env、token、SQLite 文件、本地工作目录或日志提交到代码仓库。

延伸阅读

仓库内有更完整说明:README.md / README_CN.md(功能与使用)、INSTALL.md(安装配置)、 local-computer/README.md(Local Computer 与 teamctl 命令,含 resource / artifact / message)、 docs/contracts/openapi.json(HTTP 契约)。

© OpenSenseNova, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/sn-team-harness of OpenSenseNova/SenseNova-Skills.

Open the folder on GitHubat commit 7838651

Compare with similar skills

Sn Team Harness 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.

Sn Team Harness compared with similar skills
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Sn Team Harness this skillOpenSenseNova/SenseNova-Skills5.7k—~668Automated safety check: NotesMIT
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Vercel Deploybytedance/deer-flow84k10 repos~797Automated safety check: PassMIT
Knap Markdown Templateskepano/obsidian-skills49k2 repos~986Automated safety check: PassMIT
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
Nx Run Tasksnomcopter/react-mosaic4.8k8 repos~613Automated safety check: PassCustom licence

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Works with

Questions about Sn Team Harness

What does Sn Team Harness do?

A skill your agent uses when a user asks what SenseNova Team Harness is, wants an introduction or overview, is getting started, or is deciding whether it fits — a self-hosted workspace where people…. Sn Team Harness is an agent skill from OpenSenseNova/SenseNova-Skills. Use when a user asks what SenseNova Team Harness is, wants an introduction or overview, is getting started, or is deciding whether it fits — a self-hosted workspace where people and local AI agents collaborate on conversations, projects, work items, and artifacts.

When should I use Sn Team Harness?

Sn Team Harness fits situations like: A user asks what SenseNova Team Harness is; wants an introduction; is getting started; is deciding whether it fits — a self-hosted workspace where people and local AI agents collaborate on conversations.

How do I install Sn Team Harness in Claude Code?

Run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-team-harness -a claude-code`. Or copy the skill folder (skills/sn-team-harness in OpenSenseNova/SenseNova-Skills) into .claude/skills/sn-team-harness in your project. Claude Code loads it when a task matches its description.

How do I install Sn Team Harness in Codex?

Run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-team-harness -a codex`. Or copy the skill folder (skills/sn-team-harness in OpenSenseNova/SenseNova-Skills) into .agents/skills/sn-team-harness in your project. Codex loads it when a task matches its description.

Can I use Sn Team Harness 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 OpenSenseNova/SenseNova-Skills --skill sn-team-harness -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sn-team-harness, .gemini/skills/sn-team-harness, .github/skills/sn-team-harness and .opencode/skills/sn-team-harness in your project.

What does Sn Team Harness need to run?

Going by SKILL.md and its folder, Sn Team Harness needs the command-line tools its instructions call (npm and git). Our summary lists: Node.js; Docker.

Does Sn Team Harness access the network?

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

Is Sn Team Harness safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Sn Team Harness use?

Sn Team Harness is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sn Team Harness use?

About 668 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Sn Team Harness?

Skills that share tags, products or a category with Sn Team Harness: Defuddle (kepano/obsidian-skills, 49k stars), Vercel Deploy (bytedance/deer-flow, 84k stars), Knap Markdown Templates (kepano/obsidian-skills, 49k stars) and MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sn Team Harness?

OpenSenseNova (a GitHub organization) maintains it in OpenSenseNova/SenseNova-Skills, which has 5,749 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 9, 2026.

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