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 alpha-researchgit 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/alpha-research)<a href="https://agentmods.dev/skills/companion-inc/feynman/alpha-research"><img src="https://agentmods.dev/badge/skills/companion-inc/feynman/alpha-research/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/alpha-research"><img src="https://agentmods.dev/badge/skills/companion-inc/feynman/alpha-research.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 | $0.00065 | $0.00528 |
| Opus 5 | $0.00032 | $0.00264 |
| Sonnet 5 | $0.00013 | $0.00106 |
| Haiku 4.5 | $0.00006 | $0.00053 |
Grade A, and why
alpha-research 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
Alpha Research CLI
Use visible Feynman alpha tools when they are available. For shell commands, use feynman alpha ...; do not call the user's bare global alpha binary because it can be stale or unpatched.
Commands
| Command | Description |
|---|---|
feynman alpha search "<query>" |
Search papers. Prefer --mode semantic by default; use --mode keyword only for exact-term lookup and --mode agentic for broader retrieval. |
feynman alpha get <arxiv-id-or-url> |
Fetch paper content and any local annotation |
feynman alpha get --full-text <arxiv-id> |
Get raw full text instead of AI report |
feynman alpha ask <arxiv-id> "<question>" |
Ask a question about a paper's PDF |
feynman alpha code <github-url> [path] |
Read files from a paper's GitHub repo. Use / for overview |
feynman alpha annotate <paper-id> "<note>" |
Save a persistent annotation on a paper |
feynman alpha annotate --clear <paper-id> |
Remove an annotation |
feynman alpha annotate --list |
List all annotations |
Auth
Run feynman alpha login to authenticate with alphaXiv. Check status with feynman alpha status.
Examples
feynman alpha search "transformer scaling laws"
feynman alpha search --mode agentic "efficient attention mechanisms for long context"
feynman alpha get 2106.09685
feynman alpha ask 2106.09685 "What optimizer did they use?"
feynman alpha code https://github.com/karpathy/nanoGPT src/model.py
feynman alpha annotate 2106.09685 "Key paper on LoRA - revisit for adapter comparison"
When to use
- Academic paper search, reading, Q&A → Feynman alpha tools or
feynman alpha - Current topics (products, releases, docs) → web search tools
- Mixed topics → combine both
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 · 43 lines · 65 tokens per session scan A 66da78ce0470
alpha-research is a skill published in the GitHub repository companion-inc/feynman (8,870 stars, last pushed 13d ago), licensed MIT. It adds 65 tokens to every session and 528 once invoked, about $0.0003 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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