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 skills/aiosai/aipass/system_statusnpx skills add AIOSAI/AIPass --skill system_statusgit clone --depth 1 https://github.com/AIOSAI/AIPassWrote 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/aiosai/aipass/system_status)<a href="https://agentmods.dev/skills/aiosai/aipass/system_status"><img src="https://agentmods.dev/badge/skills/aiosai/aipass/system_status.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 | $0.00016 | $0.00389 |
| Opus 5 | $0.00008 | $0.00195 |
| Sonnet 5 | $0.00003 | $0.00078 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
system_status 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 6d 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 Status Skill
Check system health metrics without leaving your workflow. Returns structured data about disk usage, memory, running processes, and system uptime.
Available Actions
| Action | Description |
|---|---|
disk |
Disk usage for the root filesystem |
memory |
Memory usage from /proc/meminfo (Linux) |
uptime |
System uptime from /proc/uptime |
processes |
Count of currently running processes |
summary |
All of the above combined into one report |
Usage
drone @skills run system_status disk
drone @skills run system_status memory
drone @skills run system_status uptime
drone @skills run system_status processes
drone @skills run system_status summary
Output Format
All actions return structured dicts:
{"success": True, "output": "...", "error": None}
When to Use
- Quick health check before resource-intensive operations
- Diagnosing slow performance (memory pressure, disk full)
- Monitoring system state during long-running tasks
- Getting a snapshot of system health for reports
Notes
- All data comes from stdlib / procfs -- no external dependencies
- Memory info reads from
/proc/meminfo(Linux only) - Uptime reads from
/proc/uptime(Linux only) - Disk usage uses
shutil.disk_usage()(cross-platform) - Process count uses
/procdirectory listing (Linux only)
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.
- 6d ago First seen · 59 lines · 16 tokens per session scan A 48d784ab4c8b
system_status is a skill published in the GitHub repository AIOSAI/AIPass (273 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 389 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.
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