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 frontier-ai-next/mgarlbot --skill system_infogit clone --depth 1 https://github.com/frontier-ai-next/mgarlbotWrote 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/frontier-ai-next/mgarlbot/system_info)<a href="https://agentmods.dev/skills/frontier-ai-next/mgarlbot/system_info"><img src="https://agentmods.dev/badge/skills/frontier-ai-next/mgarlbot/system_info/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/frontier-ai-next/mgarlbot/system_info"><img src="https://agentmods.dev/badge/skills/frontier-ai-next/mgarlbot/system_info.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00015 | $0.00357 |
| Opus 5 | $0.00008 | $0.00179 |
| Sonnet 5 | $0.00003 | $0.00071 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
system_info 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 9d 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
System information (macOS)
Use shell commands to read system state.
General
macOS version:
sw_vers
Hostname and user:
whoami && hostname
Uptime:
uptime
Processes
List processes (truncated):
ps aux | head -20
Find a process:
pgrep -fl "process_name"
Top by CPU:
ps -Arco pid,pcpu,comm | head -10
Disk
Overall usage:
df -h
Directory size:
du -sh /path/to/directory
Memory & CPU
Memory:
vm_stat | head -10
CPU model:
sysctl -n machdep.cpu.brand_string
Network
IPv4 addresses:
ifconfig | grep "inet " | grep -v 127.0.0.1
Connectivity:
ping -c 3 google.com
Battery
pmset -g batt
Rules
- Pipe verbose output through
head/tail. - Avoid commands that destabilize the system.
- Never kill processes without explicit user confirmation.
- Prefer short, focused commands over huge dumps.
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.
- 9d ago First seen · 107 lines · 15 tokens per session scan A b4b7a199ddba
system_info is a skill published in the GitHub repository frontier-ai-next/mgarlbot (17 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 357 once invoked, about $0.0001 per session on Opus 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.
Other skills, from other repositories
oma-recap
Analyze conversation histories from multiple AI tools (Grok, Claude, Codex, Gemini, Qwen, Cursor, Antigravity) and generate themed daily/period work summaries. Filter by date or time window.
tmux
Manage long-running shell sessions with tmux — start a detached session, run a long task, reattach later, capture output. Use when a task takes longer than a single tool call (build, test, log tail).
architecture-diagram
Dark-themed SVG architecture/cloud/infra diagrams as HTML.
himalaya
CLI to manage emails via IMAP/SMTP. Use himalaya to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
cron
A scheduler for tasks that should run automatically at a future time or repeat on a schedule. It uses cron expressions, a text format for describing times such as every day at 9:00.
apple-notes
Manage Apple Notes via memo CLI: create, search, edit.