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 agentsight-auto-formatgit 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/agentsight-auto-format)<a href="https://agentmods.dev/skills/alibaba/anolisa/agentsight-auto-format"><img src="https://agentmods.dev/badge/skills/alibaba/anolisa/agentsight-auto-format/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/agentsight-auto-format"><img src="https://agentmods.dev/badge/skills/alibaba/anolisa/agentsight-auto-format.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 29 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00029 | $0.00466 |
| Opus 5.5 | $0.00012 | $0.00186 |
| Sonnet 5.5 | $0.00006 | $0.00093 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
agentsight-auto-format 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
代码自动格式化
目标
编辑 .rs、.py、.ts、.tsx 文件后，自动运行对应的格式化工具，保持代码风格一致。
触发时自动执行
每次编辑代码文件后（Edit、Write 等操作），对被修改的文件运行对应的格式化命令。格式化失败时静默跳过，不阻断工作流。
格式化规则
| 扩展名 | 命令 | 备注 |
|---|---|---|
.rs |
rustfmt <file> |
直接调用，不需要 crate 上下文 |
.py |
ruff format <file> |
没有 ruff 时用 black --quiet <file> |
.ts .tsx |
prettier --write <file> |
需要本地已安装 prettier |
注意事项
- 只格式化本次编辑的文件，不要全量格式化
- 格式化工具不存在时跳过，不报错
- 不要用
cargo fmt（需要 crate 上下文，对单文件不友好） - 不要用
npx prettier（会触发网络下载，有供应链风险） - 提交前仍需运行
cargo fmt --check/cargo clippy做最终检查
Hook 自动化
本目录下的 post-edit-format.py 脚本可挂接到任何支持 PostToolUse hook 的 agent，实现机械式自动格式化。
脚本从 stdin 读取被编辑的文件信息（支持 hook JSON 和纯文本路径），自动分发到对应 formatter。用法：
echo "/path/to/file.rs" | python3 develop-skills/agentsight-auto-format/post-edit-format.py
各 agent 的 hook 配置方式不同，请参考对应 agent 文档将脚本挂在 PostToolUse（Edit/Write）事件上。hook 配置属于开发者本地设置，不提交仓库。
What ships with it
1 file 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 · 43 lines · 29 tokens per session scan A 4f6c87520692
agentsight-auto-format is a skill published in the GitHub repository alibaba/anolisa (603 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 466 once invoked, about $0.0001 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.
agentsight-auto-format compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agentsight-auto-formatalibaba/anolisa | Skill | 603 | 1mo ago | Apache-2.0 | A | 29 | Claude Code |
| 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 |