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 code-scannergit 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/code-scanner)<a href="https://agentmods.dev/skills/alibaba/anolisa/code-scanner"><img src="https://agentmods.dev/badge/skills/alibaba/anolisa/code-scanner/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/code-scanner"><img src="https://agentmods.dev/badge/skills/alibaba/anolisa/code-scanner.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 | $0.00034 | $0.00501 |
| Opus 5.5 | $0.00014 | $0.00200 |
| Sonnet 5.5 | $0.00007 | $0.00100 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
code-scanner 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.
What it actually says
Code Scanner
基于正则的轻量级代码安全扫描引擎，支持 Bash 和 Python，内置 25 条检测规则。
调用方式
agent-sec-cli scan-code --code '<source_code>' --language <bash|python>
输入
| 参数 | 类型 | 必选 | 说明 |
|---|---|---|---|
code |
string | 是 | 待扫描的源代码字符串，支持多行 |
language |
string | 是 | 编程语言，取值：bash 或 python |
输出
返回 JSON 格式的 ScanResult 对象：
| 字段 | 类型 | 说明 |
|---|---|---|
ok |
bool | 扫描是否正常完成（无内部错误） |
verdict |
string | 最终判定，见下方 Verdict 说明 |
summary |
string | 人类可读的扫描摘要 |
findings |
Finding[] | 命中的规则列表，无命中时为空数组 |
language |
string | 输入的语言 |
engine_version |
string | 与 agent-sec-cli 版本一致 |
elapsed_ms |
int | 扫描耗时（毫秒） |
Finding 结构
| 字段 | 类型 | 说明 |
|---|---|---|
rule_id |
string | 规则 ID，如 shell-recursive-delete |
severity |
string | 严重级别：warn / deny |
desc_zh |
string | 中文描述 |
desc_en |
string | 英文描述 |
evidence |
string[] | 匹配到的代码片段列表 |
Verdict 说明
| 值 | 含义 |
|---|---|
pass |
未检测到安全风险 |
warn |
存在告警级风险，建议关注 |
deny |
存在阻断级风险，应阻止执行 |
error |
扫描引擎内部错误 |
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 · 56 lines · 34 tokens per session scan A a9280e7e7598
code-scanner is a skill published in the GitHub repository alibaba/anolisa (603 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 501 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.
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