Feynman is an open-source AI research agent that helps users investigate topics with language models. It supports local model providers and hosted model authentication through its setup process. The catalogue contains skills, agents, and instructions that extend Feynman’s workflows.
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 companion-inc/feynman --skill scvi-toolsgit clone --depth 1 https://github.com/companion-inc/feynmanWrote 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/companion-inc/feynman/scvi-tools)<a href="https://agentmods.dev/skills/companion-inc/feynman/scvi-tools"><img src="https://agentmods.dev/badge/skills/companion-inc/feynman/scvi-tools/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/companion-inc/feynman/scvi-tools"><img src="https://agentmods.dev/badge/skills/companion-inc/feynman/scvi-tools.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 | $0.00044 | $0.00185 |
| Opus 5 | $0.00022 | $0.00093 |
| Sonnet 5 | $0.00009 | $0.00037 |
| Haiku 4.5 | $0.00004 | $0.00018 |
Grade A, and why
scvi-tools 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
scvi-tools
Use this skill for reproducible scvi-tools analysis.
Workflow:
- Record AnnData path, organism, assay, batch keys, label keys, covariates, train/test split, and filtering choices.
- Verify Python environment, GPU/CPU route, package version, and data availability before training.
- Save preprocessing notebook, model parameters, training logs, latent embeddings, differential-expression tables, and plots.
- Check batch mixing, biological separation, marker consistency, and sensitivity to preprocessing choices.
- Attach exact commands and artifact paths to the final summary.
Keep raw counts, normalized values, and model-derived latent variables clearly separated.
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 · 19 lines · 44 tokens per session scan A eb31f53f93f7
scvi-tools is a skill published in the GitHub repository companion-inc/feynman (8,870 stars, last pushed 14d ago), licensed MIT. It adds 44 tokens to every session and 185 once invoked, about $0.0002 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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