Agno is a framework and runtime for building, running, and managing platforms made of AI agents. Developers use its SDK, service runtime, and web interface to create agent applications with storage, integrations, APIs, and operational controls; the catalogue entries provide agent-oriented workflows and configuration for using Agno.
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 agno-agi/agno --skill system-infogit clone --depth 1 https://github.com/agno-agi/agnoWrote 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/agno-agi/agno/system-info)<a href="https://agentmods.dev/skills/agno-agi/agno/system-info"><img src="https://agentmods.dev/badge/skills/agno-agi/agno/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/agno-agi/agno/system-info"><img src="https://agentmods.dev/badge/skills/agno-agi/agno/system-info.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00015 | $0.00272 |
| Opus 5 | $0.00008 | $0.00136 |
| Sonnet 5 | $0.00003 | $0.00054 |
| Haiku 4.5 | $0.00002 | $0.00027 |
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 10d 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 Info Skill
Use this skill when the user asks about the host running the AgentOS process or needs a directory inventory from that host.
Available scripts
get_system_info.pyreturns the hostname, operating system, architecture, Python version and executable, processor, and current UTC time.list_directory.pylists the direct children of a directory. It accepts one optional path argument and defaults to the skill directory.
Execution
Load these instructions before choosing a script. Execute a script through the skill tool and inspect its structured result:
get_skill_script(
skill_name="system-info",
script_path="get_system_info.py",
execute=True,
)
To list a directory:
get_skill_script(
skill_name="system-info",
script_path="list_directory.py",
execute=True,
args=["."],
)
Only use data parsed from stdout when returncode is 0. If execution
returns a nonzero code, report stderr or the JSON error instead of inferring
the result.
What ships with it
2 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.
- 10d ago First seen · 48 lines · 15 tokens per session scan A 9e5f40694753
system-info is a skill published in the GitHub repository agno-agi/agno (42,109 stars, last pushed today), licensed Apache-2.0. It adds 15 tokens to every session and 272 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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