SenseNova-Skills is a collection of modular skills that extend SenseNova models with office-assistant capabilities such as image generation, presentation creation, spreadsheet analysis, and research. The skills are designed for use in agent runtimes and can be combined into productivity workflows; the catalogue entries are individual skills and agents from this collection.
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 OpenSenseNova/SenseNova-Skills --skill sn-team-harnessgit clone --depth 1 https://github.com/OpenSenseNova/SenseNova-SkillsWrote 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/opensensenova/sensenova-skills/sn-team-harness)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-team-harness"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-team-harness/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.
<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-team-harness"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-team-harness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00094 | $0.01170 |
| Opus 5 | $0.00047 | $0.00585 |
| Sonnet 5 | $0.00019 | $0.00234 |
| Haiku 4.5 | $0.00009 | $0.00117 |
Grade A, and why
sn-team-harness 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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。 |
| Artifact | Agent 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。
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
- 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 Local Computer Runtime。
- 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。 - 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。
- 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。
- 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)。
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.
- 3d ago First seen · 81 lines · 94 tokens per session scan A 71f98f4f0639
sn-team-harness is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,570 stars, last pushed yesterday), licensed MIT. It adds 94 tokens to every session and 1,170 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 2026-09-09.
Other skills, from other repositories
status-report
Use when the user asks for a weekly / monthly status report, project update, individual or team progress summary. Produces a tight, scannable update with what shipped, what's in flight, what's blocked, and metrics.
jira
Read and write Jira issues, comments, transitions via the Jira REST API v3.
todoist
Manage Todoist tasks and projects via the Todoist REST API v2.
trello
Manage Trello boards, lists, and cards via the Trello REST API.
administrative-manager
Expert administrative manager with 10+ years experience in office management, facilities coordination, vendor management, and administrative operations. Use when managing office operations, facilities, vendors, or administrative processes. Use when: working with administrative-manager.
hr-manager
Expert-level HR Manager skill covering talent management, employee development, performance management, organizational design, and HR strategy. Use when: hr-management, talent-management, performance-management, employee-development, organizational-design.