ANOLISA is a server-side operating layer for AI agent workloads that provides terminal access, token-saving tool-output compression, runtime controls, security, observability, skills, memory, and sandbox management. It is for running and supervising agents from a Linux terminal while retaining an existing shell, agent framework, and sandbox. The catalogue add-ons are components of its agent operating environment and workflows.
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 agentmods add skills/alibaba/anolisa/anolisa-registernpx skills add alibaba/anolisa --skill anolisa-registergit clone --depth 1 https://github.com/alibaba/anolisaWrote 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/alibaba/anolisa/anolisa-register)<a href="https://agentmods.dev/skills/alibaba/anolisa/anolisa-register"><img src="https://agentmods.dev/badge/skills/alibaba/anolisa/anolisa-register.svg" alt="Measured on agentmods" 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 | $0.00069 | $0.00902 |
| Opus 5 | $0.00034 | $0.00451 |
| Sonnet 5 | $0.00014 | $0.00180 |
| Haiku 4.5 | $0.00007 | $0.00090 |
Grade B, and why
anolisa-register scanned grade B with 1 finding 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 5d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
| 注册 | `sudo anolisa register` | 加入 Agentic OS 共建计划 | What it actually says
Anolisa Subscription 管理
核心命令
| 操作 | 命令 | 说明 |
|---|---|---|
| 查询状态 | anolisa register status |
显示当前anolisa注册状态 |
| 查询状态（JSON） | anolisa register status --json |
返回机器可读格式 |
| 注册 | sudo anolisa register |
加入 Agentic OS 共建计划 |
| 注销 | sudo anolisa unregister |
退出共建，停止数据上传 |
自然语言意图映射
| 用户表达 | 识别意图 | 映射命令 |
|---|---|---|
| "我现在的anolisa注册状态是什么" / "我注册了吗" | query_register_status | anolisa register status |
| "我想开启anolisa数据上传" / "注册到控制台" / "启用 Token 上报" | enable_upload | sudo anolisa register（需二次确认） |
| "我想关闭anolisa数据上传" / "撤销注册" / "取消注册" | disable_upload | sudo anolisa unregister（需二次确认） |
执行流程
查询注册状态
anolisa register status
输出示例：
Product: ECS
Consent State: REGISTERED
Data Upload: active
Registered: 2026-06-04 05:46 (via cli)
Operator: root
注册（加入共建计划）
sudo anolisa register
- 若已注册：输出提示
Already registered.，无需重复操作 - 若未注册：展示共建计划说明，交互确认
[Y/N]，用户确认后完成注册
注意：在调用此命令前应向用户展示注册前的二次确认，避免误操作。
非交互环境处理：如果 agent 不支持交互式 session（无法响应 [Y/N] 提示），则：
- 先向用户展示下方「共建计划说明」的完整内容
- 明确告知用户注册后会上传哪些数据、不会上传哪些数据
- 获得用户明确同意后，使用
sudo anolisa register --yes跳过交互确认完成注册
注销（退出共建）
sudo anolisa unregister
- 交互确认
Unregister? [y/N]:，输入y后注销 - 注销后数据上传停止，可随时重新注册
状态字段说明（JSON 格式）
{
"consent_state": "registered", // registered | unregistered
"operator": "root", // 执行注册的用户
"product_type": "ECS", // 产品类型
"registration_time": "2026-06-04T05:46:53Z",
"source": "cli", // 注册来源
"upload_active": true // 数据上传是否活跃
}
共建计划说明
加入后用户获得：
- 更智能的 agent（从真实场景训练，更精准）
- 跨实例 Token 洞察（在控制台查看所有实例的费用与趋势）
- 个性化优化（模型选择、Token 节省、Skill 推荐）
- 新功能优先体验
承诺：
- 只上传脱敏聚合统计（Token 数、模型 ID、请求次数、时间窗口）
- 绝不上传 Prompt、对话、密钥、文件
- 走阿里云内网，零公网流量，零额外配置
- 随时可通过
sudo anolisa unregister退出
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.
- 5d ago First seen · 94 lines · 69 tokens per session scan B b757bafd3fd1
anolisa-register is a skill published in the GitHub repository alibaba/anolisa (618 stars, last pushed today), licensed Apache-2.0. It adds 69 tokens to every session and 902 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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