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 regen-coordination/org-os-template --skill alpha-researchgit clone --depth 1 https://github.com/regen-coordination/org-os-templateWrote 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/regen-coordination/org-os-template/alpha-research)<a href="https://agentmods.dev/skills/regen-coordination/org-os-template/alpha-research"><img src="https://agentmods.dev/badge/skills/regen-coordination/org-os-template/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/regen-coordination/org-os-template/alpha-research"><img src="https://agentmods.dev/badge/skills/regen-coordination/org-os-template/alpha-research.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00066 | $0.00462 |
| Opus 5 | $0.00033 | $0.00231 |
| Sonnet 5 | $0.00013 | $0.00092 |
| Haiku 4.5 | $0.00007 | $0.00046 |
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 8d 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 the alpha CLI via bash for all paper research operations.
Commands
| Command | Description |
|---|---|
alpha search "<query>" |
Search papers. Prefer --mode semantic by default; use --mode keyword only for exact-term lookup and --mode agentic for broader retrieval. |
alpha get <arxiv-id-or-url> |
Fetch paper content and any local annotation |
alpha get --full-text <arxiv-id> |
Get raw full text instead of AI report |
alpha ask <arxiv-id> "<question>" |
Ask a question about a paper's PDF |
alpha code <github-url> [path] |
Read files from a paper's GitHub repo. Use / for overview |
alpha annotate <paper-id> "<note>" |
Save a persistent annotation on a paper |
alpha annotate --clear <paper-id> |
Remove an annotation |
alpha annotate --list |
List all annotations |
Auth
Run alpha login to authenticate with alphaXiv. Check status with feynman alpha status, or alpha status once your installed alpha-hub version includes it.
Examples
alpha search "transformer scaling laws"
alpha search --mode agentic "efficient attention mechanisms for long context"
alpha get 2106.09685
alpha ask 2106.09685 "What optimizer did they use?"
alpha code https://github.com/karpathy/nanoGPT src/model.py
alpha annotate 2106.09685 "Key paper on LoRA - revisit for adapter comparison"
When to use
- Academic paper search, reading, Q&A →
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.
- 8d ago First seen · 43 lines · 66 tokens per session scan A 802a83bda1dc
alpha-research is a skill published in the GitHub repository regen-coordination/org-os-template (5 stars, last pushed 2d ago), licensed MIT. It adds 66 tokens to every session and 462 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 2026-08-31.
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