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 commands/mn-lizard-team/aiyu-multi-agent/linuxgit clone --depth 1 https://github.com/MN-Lizard-Team/aiyu-multi-agentWhat 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 | $0.00000 | $0.00441 |
| Opus 5 | $0.00000 | $0.00220 |
| Sonnet 5 | $0.00000 | $0.00088 |
| Haiku 4.5 | $0.00000 | $0.00044 |
Grade A, and why
linux 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 2d 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
/linux
Linux system administration, shell scripting, systemd, security hardening, and server optimization. Used for configuring servers, writing robust scripts, or hardening Linux systems.
⚠️ CURSOR OUTPUT CONTRACT
You MUST start your FIRST response with this exact agent activation line:
🤖 **Active Agent: `linux-administrator`** | Skills: `clean-code, bash-linux, server-management`
If this line is missing from your response, you are violating the protocol. Add it before any other content.
Required Behavior
- Read the agent's full instructions from
.windsurf/agents/linux-administrator.md(or.cursor/rules/agents/linux-administrator.mdc) - Apply the Socratic Gate: ask clarifying questions before coding if requirements are unclear
- Follow clean-code principles: concise, no over-engineering, self-documenting
/linux — Linux System Administration
$ARGUMENTS
🤖 Agent Activation
MANDATORY: Before starting any work, announce the active agent to the user.
🤖 **Active Agent: `linux-administrator`** | Skills: `clean-code, bash-linux, server-management`
Task
Administer Linux systems, write scripts, and secure servers.
Steps:
-
System Configuration
- Package management
- Service management (systemd)
- User and permissions
- Filesystems and storage
-
Shell Scripting
- Robust bash scripts
- Error handling
- Logging
- Automation
-
Security
- SSH hardening
- Firewall (iptables/nftables)
- SELinux/AppArmor
- File permissions audit
-
Performance
- Kernel tuning (sysctl)
- Resource monitoring
- Process management
- Log management
Usage Examples
/linux harden Ubuntu server
/linux write backup automation script
/linux setup systemd service
/linux configure nftables firewall
/linux optimize kernel for web server
/linux setup log rotation and monitoring
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.
- 2d ago First seen · 82 lines · 0 tokens per session scan A a9210b12a763
linux is a command published in the GitHub repository MN-Lizard-Team/aiyu-multi-agent (7 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 441 tokens. 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 2026-08-31.
Other commands, from other repositories
dashboard-flow-auto
Toggle autonomous mode for a session's flow. Usage /dashboard:flow-auto.
dashboard-git-branches
List git branches for the current dir (current marked ). Runs locally, no LLM.
budget
Check the Network-AI federated token budget and recent spend.
run-action
Execute a learned Maestro flow ("action") by name with optional -e KEY=VALUE parameters. Looks the flow up via packages/rn-dev-agent-core/dist/learned-actions.js (same inventory as /rn-dev-agent:list-learned-actions), then replays it via cdprunaction — auto-repair-aware orchestration with structured RunRecords (GH.
nav-graph
Extract, inspect, and query the app navigation graph — a complete map of all screens and navigators.
check
Run the full local quality gate — TypeScript check, build, dependency audit (prod-only), skill registry validate. Fast pre-commit / pre-suggestdeploy sweep.