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 GeminiLight/MindOS --skill mindos-zhgit clone --depth 1 https://github.com/GeminiLight/MindOSWrote 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/geminilight/mindos/mindos-zh)<a href="https://agentmods.dev/skills/geminilight/mindos/mindos-zh"><img src="https://agentmods.dev/badge/skills/geminilight/mindos/mindos-zh/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/geminilight/mindos/mindos-zh"><img src="https://agentmods.dev/badge/skills/geminilight/mindos/mindos-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00490 | $0.04571 |
| Opus 5.5 | $0.00196 | $0.01828 |
| Sonnet 5.5 | $0.00098 | $0.00914 |
| Haiku 4.5 | $0.00049 | $0.00457 |
Grade A, and why
mindos-zh 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- mindos-max-zh — 88% identical, 215 lines differ
How it starts
The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MindOS 技能
CLI 命令
使用 mindos file <子命令> 完成所有知识库操作。加 --json 获取结构化输出。
| 操作 | 命令 |
|---|---|
| 列出文件 | mindos file list |
| 读取文件 | mindos file read <路径> |
| 写入/覆盖 | mindos file write <路径> --content "..." |
| 创建新文件 | mindos file create <路径> --content "..." |
| 追加内容 | mindos file append <路径> --content "..." |
| 编辑段落 | mindos file edit-section <路径> -H "## 标题" --content "..." |
| 标题后插入 | mindos file insert-heading <路径> -H "## 标题" --content "..." |
| 追加 CSV 行 | mindos file append-csv <路径> --row "列1,列2,列3" |
| 删除文件 | mindos file delete <路径> |
| 重命名/移动 | mindos file rename <旧> <新> |
| 搜索 | mindos search "关键词" |
| 反向链接 | mindos file backlinks <路径> |
| 最近文件 | mindos file recent --limit 10 |
| Git 历史 | mindos file history <路径> |
| 列出空间 | mindos space list |
| 创建空间 | mindos space create "名称" |
MCP 用户: 如果只有 MCP 工具(
mindos_*),直接使用——工具的 schema 已自带说明。有 CLI 时优先用 CLI(更省 token)。
CLI 安装
npm install -g @geminilight/mindos
# 远程模式:mindos config set url http://<IP>:<端口> && mindos config set authToken <token>
规则
- 先了解结构 — 列出知识库目录树,再搜索或写入。
- 默认只读。 只有用户明确要求保存、记录、整理、编辑时才写入。
- 规则优先级(从高到低):用户当前指令 →
.mindos/user-preferences.md→ 最近目录INSTRUCTION.md→ 根INSTRUCTION.md→ 本技能默认。 - 多文件编辑先出方案。 展示完整变更列表,获批后再执行。
- 创建/删除/移动/重命名后 → 自动同步相关 README。
- 写入前先读取。 不基于假设写入。
- 自然收口。 回复只完成用户这一轮要求;完整查阅或写入后,不追加无必要的追问。
- 尊重源码边界。 本技能只处理 MindOS 知识库。用户要求修改应用/项目源码,但没有源码文件、代码工作区或代码工具时,询问具体仓库/文件/代码片段,不要搜索或写入知识库笔记来冒充改代码。对于裸代码请求,不要用 KB 的 list/search/read 工具去找源码文件。
回答收口
任务结束前按这个契约输出:
- 查找 / 总结 / 引用: 先给结论,附稳定文件路径,并保持只读。用户点名具体本地文件路径时,最终回答必须包含这个原始路径。用户明确说不要修改或要求只读处理时,最后用用户语言短句说明没有修改(中文用「未做任何修改。」;英文用 "No changes were made.")。除非用户要求下一步或证据不足,不要用“要不要我保存/记录/更新?”结尾。
- 保存 / 更新 / 追加: 只有写入工具成功后,才报告真实路径和操作。用稳定措辞:
已保存到 <路径>、已更新 <路径>、已追加到 <路径>。再补一句极短摘要即可。 - 上传内容写入: 用户要求把上传内容整理成笔记,且目标类型明确时,直接使用上传内容;最多做一次轻量结构/README 检查,然后写入笔记。不要停在目录列表。
- 需要澄清: 只有当缺失信息会改变目标位置、范围、成本、安全或可逆性时才问。一次只问一个具体问题;必要时给 2-3 个可选方向。
- 没有证据或工具失败: 明确说明没找到什么、哪个动作失败,以及下一步怎么恢复。缺少证据的查找任务不要主动提出保存、记录、创建或补充该想法,除非用户要求沉淀。不要空回复。
- 语言保真: 保留用户语言和原笔记中的关键术语。中文笔记里的术语优先照原文说,不要随手翻译成英文;英文解释只在有帮助时放括号里。
- 只读收口: 用户只要总结、会议上下文或下一步时,答完即止。不要额外追问"要不要我保存/记录/起草/写入/补充/调整/导出/继续执行?"。最后一句应是陈述句,不要用问题结尾。按 SOP 或 workflow 回答时,必须引用所依据的 SOP/workflow 路径。用户只问下一步时,不要反问是否执行。
What ships with it
5 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.
- 1mo ago First seen · 294 lines · 490 tokens per session scan A c8da4fcccf3d
mindos-zh is a skill published in the GitHub repository GeminiLight/MindOS (679 stars, last pushed yesterday), licensed MIT. It adds 490 tokens to every session and 4,571 once invoked, about $0.0020 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
core
Use when knowledge base hub — PARA-structured company memory combining company-kb and kb for persistent context, project documentation, and agent recall across sessions. Use when working with knowledge base, company knowledge, or persistent memory.
kb-memory
Use when knowledge base and memory system for AI agents. Covers company KB, persistent memory, session recall, and brain architecture for context preservation.
acontext-installer
Install Acontext, Login & Init Acontext Project, Add Skill Memory to Agent.
docx
Create, read, edit, review, redline, comment on, merge, audit, render, and verify .docx Word documents, including layout-sensitive and OOXML-level work.
openlore
Query and publish to an OpenLore knowledge repository over SSH using ordinary shell commands. Use when a task needs project documentation, runbooks, shared team knowledge, or a place to publish findings.
openlore-housekeeping
Audit and maintain a shared OpenLore knowledge repository. Use on a schedule or on request to find stale docs, broken links, unreviewed inbox items, and missing skill coverage, then publish an audit report.