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-proactive-agentgit 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-proactive-agent)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-proactive-agent"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-proactive-agent/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-proactive-agent"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-proactive-agent.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 | $0.00028 | $0.01140 |
| Opus 5 | $0.00014 | $0.00570 |
| Sonnet 5 | $0.00006 | $0.00228 |
| Haiku 4.5 | $0.00003 | $0.00114 |
Grade A, and why
sn-proactive-agent 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 today.
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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Proactive Agent
本 Skill 是 Agent 的操作说明，运行代码通过独立的 Python 安装包获取。 服务整理多轮对话中的项目进展，发现值得推进的事情时在 Web 工作台提出建议； 用户接受后，由对应 Connector 交回原 Session 继续执行。
按任务读取说明
- 询问原理、状态或已有记录时，只做相关的只读检查，不因加载 Skill 就安装、改配置或启动服务。
- 用户要求安装、启动、升级或卸载时，先读 通用流程，再按实际运行环境读取一份系统说明。
- 配置对话接入时，只读取当前 Harness 对应的 Connector 说明，不加载其他平台的资料。
| 条件 | 读取文件 |
|---|---|
| 安装、运行与维护服务 | install/overview.md |
| macOS | install/macos.md |
| Windows PowerShell 或 WSL | install/windows.md |
| Hermes 接入 | connectors/hermes.md |
install/ 负责操作系统、依赖和服务生命周期；connectors/ 负责 Harness
配置、对话采集与获批续跑。当前安装入口只支持 Hermes；其他 Harness 不能直接套用
Hermes 的命令。当前工作区为改名后的 0.1.3 未发布候选版，可安装指定 Hermes 基线的 Web-only 续跑桥，
会检查源码兼容性、备份并构建；不覆盖未知版本或本地改动。固定版本与 GitHub Release
下载前置检查见通用流程；新名称的 GitHub Release 尚未发布，也未发布到 PyPI。安装包验收不等于真实接入验收。
Windows 说明是安装参考，不代表完整接入已验收。
命名与命令
- 本 Skill 的目录和文件名使用英文；除标准入口
SKILL.md外，使用小写与连字符。 - 示例命令、参数、变量名和命令块中的注释统一使用英文，中文解释放在命令块外。
- 保留程序原有的命令名称，不翻译参数。用户真实路径即使含中文，也应按原名正确引用，不为符合示例命名而改动用户文件。
运行边界
- 安装 Skill 与安装运行包是两件事；
pipx不会把 Skill 安装到 Harness，也不会自动启动服务。 - 区分运行包、安装文件、目标窗口在线与真实回流检查。
doctor --session-id读取指定窗口的实际证据，不主动发消息；unverified不等于通过，旧包缺少检查能力也不能视为接入成功。 - 当前使用 Web 展示建议、接受或忽略、项目进展与日报；服务按
serve --web-only启动，不启用终端内的重复建议界面。 - Connector 自动上报完整 QA 和新一轮输入信号；Core 负责归属、状态更新和提醒判断。
- 建议不是授权。用户接受后，只通过 Connector 续跑原 Session；读取 Skill 的 Agent 不应另外提交同一动作，造成重复执行。
- 执行结果由 Connector 带
source_suggestion_id回流；本轮更新状态，不连续生成下一条建议。 - 不代替后台服务直接编辑
project.md、item.md、events.md或runtime.jsonl。 - 不读取、打印或复制 API Key、
.env或其他凭据。
查看记录
数据默认放在当前用户 Home 下的 .sn-proactive-agent/，不是安装包或源码目录。
可用 --data-root 或 SN_PROACTIVE_AGENT_DATA_ROOT 覆盖。首次有明确长期目标的
完整对话后，服务按归属创建 Project / Item，用户不需要手工建项目；一次性问题可仅记录在运行日志中。
升级用户若已有 .proactive-memory/ 且新目录不存在，自动沿用旧目录，不搬迁或合并。
旧 PROACTIVE_MEMORY_* 环境变量可继续读取，同名的新 SN_PROACTIVE_AGENT_* 设置优先。
以下路径相对于数据根目录：
projects/<project-id>/project.md：项目概述和 Item 索引。projects/<project-id>/items/<item-id>/item.md：事项最新状态。projects/<project-id>/items/<item-id>/events.md：相关 QA 与状态变化，用于溯源。runtime.jsonl：对话接收、归属、提醒或静默原因、用户决定、执行结果与日报记录，用于恢复、去重和审计。
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today First seen · 67 lines · 28 tokens per session scan A b71c7e7a8a62
sn-proactive-agent is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,570 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 1,140 once invoked, about $0.0001 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 2026-09-12.
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