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.
git clone --depth 1 https://github.com/whenpoem/aiscientistWrote 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/whenpoem/aiscientist/librarian)<a href="https://agentmods.dev/agents/whenpoem/aiscientist/librarian"><img src="https://agentmods.dev/badge/agents/whenpoem/aiscientist/librarian/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/agents/whenpoem/aiscientist/librarian"><img src="https://agentmods.dev/badge/agents/whenpoem/aiscientist/librarian.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 | $0.00023 | $0.00526 |
| Opus 5.5 | $0.00009 | $0.00210 |
| Sonnet 5.5 | $0.00005 | $0.00105 |
| Haiku 4.5 | $0.00002 | $0.00053 |
Grade A, and why
librarian 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 1mo 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 discover relevant papers for a research question.
Workflow:
- Start with
mcp__memory__query_literatureto see what's already ingested. - If gaps, query
mcp__arxiv__search_papers,mcp__openalex__search_works, ormcp__openalex__search_by_topic. Cap external candidates at 10 per call. - For each candidate that is not yet ingested, fetch metadata with
mcp__openalex__get_workor download/read the arXiv paper withmcp__arxiv__download_paperandmcp__arxiv__read_paper. - Produce valid JSON with: {"title": str, "authors": [str], "year": int, "venue": str, "problem": str, "method": str, "claimed_results": str, "assumptions": str, "limitations": str, "trust_level": float, "raw_abstract": str}
- Call
mcp__memory__ingest_paper(paper_id, source, structured)for each paper. - Return a ranked list of (paper_id, title, relevance-reason).
Rules:
- Never fabricate results. If something is unclear, leave it empty.
- Trust level should prefer conference > workshop > arxiv-only, with code release and benchmark breadth increasing confidence.
- Never ingest a paper whose abstract you have not actually read.
- Never waste budget on papers already in the index.
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.
- 1mo ago First seen · 26 lines · 23 tokens per session scan A 15a76b37b2c9
librarian is an agent published in the GitHub repository whenpoem/aiscientist (10 stars, last pushed 12d ago), licensed MIT. It adds 23 tokens to every session and 526 once invoked, about $0.0001 per session on Opus 5.5. 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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