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 bug-ops/zeph --skill system-infogit clone --depth 1 https://github.com/bug-ops/zephWrote 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/bug-ops/zeph/system-info)<a href="https://agentmods.dev/skills/bug-ops/zeph/system-info"><img src="https://agentmods.dev/badge/skills/bug-ops/zeph/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/bug-ops/zeph/system-info"><img src="https://agentmods.dev/badge/skills/bug-ops/zeph/system-info.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 | $0.00100 | $0.01848 |
| Opus 5.5 | $0.00040 | $0.00739 |
| Sonnet 5.5 | $0.00020 | $0.00370 |
| Haiku 4.5 | $0.00010 | $0.00185 |
Grade A, and why
system-info scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
3. Test connectivity with `ping` or `curl`. How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
System Info
Collect host diagnostics and resource metrics.
Before running commands, detect the OS and load the matching reference for platform-specific syntax:
- Linux —
references/linux.md(procfs, sysfs, GNU coreutils) - macOS —
references/macos.md(sysctl, vm_stat, diskutil, system_profiler) - Windows —
references/windows.md(PowerShell: Get-CimInstance, Get-Counter, Get-Process)
OS detection:
uname -s 2>/dev/null || echo Windows
Workflow
- Gather only the metrics the user requested — do not dump everything.
- Prefer read-only, non-invasive commands. Never change system settings unless explicitly asked.
- If a command is unavailable, check the OS reference for a fallback.
- Return a short summary with key numbers (percentages, GB, top processes).
- Flag values that indicate problems (see thresholds below).
Diagnostic categories
OS and kernel
Identify the operating system, distribution, kernel version, hostname, and architecture. Useful as a starting point for any troubleshooting session.
Key information to collect:
- OS name and version (e.g., Ubuntu 24.04, macOS 15.2, Windows 11 23H2)
- Kernel version
- System architecture (x86_64, arm64)
- Hostname
Uptime and load average
Determine how long the system has been running and its current load.
Interpreting load average (Unix):
- Three numbers represent 1-minute, 5-minute, and 15-minute averages
- Compare against CPU core count: load equal to core count means full utilization
- Load consistently above core count indicates CPU contention
- Rising trend (1min > 5min > 15min) means load is increasing
CPU
Inspect processor model, core count, current utilization, and per-core activity.
| Metric | Healthy | Warning | Critical |
|---|---|---|---|
| Overall utilization | < 70% | 70-90% | > 90% sustained |
| Load avg / core count | < 1.0 | 1.0-2.0 | > 2.0 |
| I/O wait | < 10% | 10-30% | > 30% |
Memory
Check total, used, free, available, cached, and buffered memory plus swap usage.
What ships with it
3 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.
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 · 178 lines · 100 tokens per session scan A ece4076b3d7e
system-info is a skill published in the GitHub repository bug-ops/zeph (65 stars, last pushed today), licensed MIT. It adds 100 tokens to every session and 1,848 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (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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