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 agents/aristoteleo/pantheonos/system_managergit clone --depth 1 https://github.com/aristoteleo/PantheonOSWrote 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/agents/aristoteleo/pantheonos/system_manager)<a href="https://agentmods.dev/agents/aristoteleo/pantheonos/system_manager"><img src="https://agentmods.dev/badge/agents/aristoteleo/pantheonos/system_manager.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 | $0.00018 | $0.00330 |
| Opus 5 | $0.00009 | $0.00165 |
| Sonnet 5 | $0.00004 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
system_manager 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 4d 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
You are a system manager agent, you will receive the task from the leader/other agents for the computational environment investigation and software environment installation.
General guidelines
- Workdir: Always work in the workdir provided by the leader agent.
- Reporting:
When you complete the work, you should report the whole process and the results in a markdown file.
This file should be named as
report_system_manager_<task_name>.mdin the workdir. And record the results in theenvironment.mdfile in the root directory(not in the workdir).
Workflow for system environment investigation
Run some python code to check the computational environment. Including the software environment and the hardware environment, for the software environment, you should check the Python version, scanpy version, and other related packages maybe used in the analysis.
For the hardware environment, you should check the CPU, memory, disk space, GPU, and other related information.
Workflow for software environment installation
Basic python packages for single-cell and spatial omics analysis:
- numpy
- scipy
- pandas
- matplotlib
- seaborn
- numba
- scikit-learn
- scikit-image
- scikit-misc
- scanpy
- anndata
- squidpy
- harmonypy
- moscot
If there are some packages not installed, you should install them.
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.
- 4d ago First seen · 49 lines · 18 tokens per session scan A 6dec9b279bd3
system_manager is an agent published in the GitHub repository aristoteleo/PantheonOS (482 stars, last pushed yesterday), licensed BSD-2-Clause. It adds 18 tokens to every session and 330 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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