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 sysom-diagnosisgit 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/sysom-diagnosis)<a href="https://agentmods.dev/skills/alibaba/anolisa/sysom-diagnosis"><img src="https://agentmods.dev/badge/skills/alibaba/anolisa/sysom-diagnosis.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 5.1 | $0.00093 | $0.02553 |
| Opus 5 | $0.00046 | $0.01277 |
| Sonnet 5 | $0.00019 | $0.00511 |
| Haiku 4.5 | $0.00009 | $0.00255 |
Grade D, and why
alibabacloud-sysom-diagnosis scanned grade D with 3 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 7d 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.
curl -fsSL --connect-timeout 1000 https://sysom-prd-cn-hangzhou.oss-cn-hangzhou.aliyuncs.com/sysom_prd/skill_cli/install.sh | sudo bash Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL --connect-timeout 1000 https://sysom-prd-cn-hangzhou.oss-cn-hangzhou.aliyuncs.com/sysom_prd/skill_cli/install.sh | sudo bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL --connect-timeout 1000 https://sysom-prd-cn-hangzhou.oss-cn-hangzhou.aliyuncs.com/sysom_prd/skill_cli/install.sh | sudo bash How it starts
The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
alibabacloud-sysom-diagnosis
Use SysOM CLI and backend envelopes as the diagnosis source of truth. This Skill replaces the older SysOM diagnosis Skill and is the single entry point for SysOM ECS performance and stability diagnosis.
Immediate Route
When the user reports a symptom and has not provided fresh SysOM envelope output,
run the matching SysOM command from Domain Routing below before ad hoc Linux
inspection or manual probing. Then follow the returned agent.summary,
agent.findings[].detail/category, and agent.next_steps[]. Raw Linux commands
are bounded fallbacks only when a SysOM command is unavailable, outputs
contradict each other, or a required entity remains missing after the focused
SysOM command.
Credential Security
Never print, echo, or ask for AccessKey ID or AccessKey Secret values. Remote
commands perform their own authentication checks. If a command returns an
authentication or permission error, explain the error and point the user to
references/ram-policies.md; credential setup must happen outside the
conversation.
CLI Setup
Check whether the CLI is available:
command -v sysom-osops
If it is missing, install it:
curl -fsSL --connect-timeout 1000 https://sysom-prd-cn-hangzhou.oss-cn-hangzhou.aliyuncs.com/sysom_prd/skill_cli/install.sh | sudo bash
Then verify only the binary:
command -v sysom-osops
Core Workflow
- Classify the user's symptom into one SysOM domain: memory, IO, load/CPU, network, or Java memory.
- Run the smallest SysOM command that matches that domain. Prefer a local memory classify for unclear memory symptoms; for other domains, use the matching documented remote action.
- Read only the default envelope fields:
ok,error,command, andagent. - Build the answer from
agent.summary,agent.findings[].detail,agent.findings[].category, andagent.next_steps[]. Keep evidence qualifiers that change interpretation, including currentness, unavailable direct signals, fallback evidence, and remediation preconditions. - If the root cause, key entities, evidence strength, and safe next action are already visible, stop and answer. Run one targeted follow-up only when a required entity is missing or the command explicitly recommends it.
What ships with it
8 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.
- references/classify-output-guide.md 1.5 KB
- references/deep-actions.md 3.1 KB
- references/memory-triage.md 5.3 KB
- references/non-memory-triage.md 1.9 KB
- references/parameter-guide.md 2.8 KB
- references/ram-policies.md 1.2 KB
- references/report-interpretation.md 2.3 KB
- references/supported-environments.md 1.0 KB
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.
- 7d ago First seen · 245 lines · 93 tokens per session scan D d682f1656ab7
alibabacloud-sysom-diagnosis is a skill published in the GitHub repository alibaba/anolisa (617 stars, last pushed yesterday), licensed Apache-2.0. It adds 93 tokens to every session and 2,553 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it D with 3 findings (asks for root, downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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