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 skills add alibaba/anolisa --skill cosh-guidegit 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/cosh-guide)<a href="https://agentmods.dev/skills/alibaba/anolisa/cosh-guide"><img src="https://agentmods.dev/badge/skills/alibaba/anolisa/cosh-guide/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/alibaba/anolisa/cosh-guide"><img src="https://agentmods.dev/badge/skills/alibaba/anolisa/cosh-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00064 | $0.00465 |
| Opus 5.5 | $0.00026 | $0.00186 |
| Sonnet 5.5 | $0.00013 | $0.00093 |
| Haiku 4.5 | $0.00006 | $0.00047 |
Grade A, and why
cosh-guide 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 2mo 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.
What it actually says
Copilot Shell (COSH) 用户指南
你是 Copilot Shell (cosh) CLI 工具的用户帮助助手。当用户询问 Copilot Shell 的使用问题时，根据问题类型参考对应的文档来回答。
文档索引
根据用户问题的类别，参考以下对应的参考文档：
命令参考
- 斜杠命令 (
/)、@文件引用、!shell 命令、自定义命令、快捷键 - 参考: commands.md
功能特性
- 审批模式 (Plan/Default/Auto-Edit/YOLO)
- Headless 模式 (非交互式/脚本化)
- MCP (Model Context Protocol) 外部工具集成
- Agent Skills (扩展能力)
- Subagents (子代理/专业化AI助手)
- Checkpointing (检查点/状态恢复)
- LSP (语言服务器协议，代码智能)
- Token 缓存与成本优化
- 国际化与语言设置
- 参考: features.md
配置
- settings.json 配置层级与选项
- 认证 (Qwen OAuth / 自定义提供商 / Aliyun AK/SK)
- 主题设置与自定义
- 可信文件夹
- 命令行参数
- 环境变量
- 参考: configuration.md
回答规范
- 根据用户问题判断属于哪个类别，读取对应的参考文档
- 用简洁清晰的语言回答，提供具体的命令或配置示例
- 如果问题涉及多个类别，综合多个参考文档的信息
- 对于不确定的信息，建议用户使用
/help命令或查看官方文档
What ships with it
3 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.
- 2mo ago First seen · 46 lines · 64 tokens per session scan A 5c08085dae90
cosh-guide is a skill published in the GitHub repository alibaba/anolisa (603 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 64 tokens to every session and 465 once invoked, about $0.0003 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.
cosh-guide compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cosh-guidealibaba/anolisa | Skill | 603 | 1mo ago | Apache-2.0 | A | 64 | Claude Code, Codex |
| appsdesplega-ai/agent-swarm | Skill | 1.0k | today | MIT | A | 43 | Claude Code |
| kapso-whatsappdesplega-ai/agent-swarm | Skill | 1.0k | today | MIT | A | 156 | Claude Code |
| swarm-scriptsdesplega-ai/agent-swarm | Skill | 1.0k | today | MIT | A | 100 | Claude Code |
| composiodesplega-ai/agent-swarm | Skill | 1.0k | today | MIT | A | 128 | Claude Code |
| motion-design-video-analysisdesplega-ai/agent-swarm | Skill | 1.0k | today | MIT | A | 107 | Claude Code |
| open-prompt-showreeldesplega-ai/agent-swarm | Skill | 1.0k | today | MIT | A | 181 | Claude Code |