noodle-biomedical-literature-discovery

noodle-biomedical-literature-discovery is a skill for Codex from helena-bioinformatics/noodle-mcp. It costs 105 tokens per session (816 once invoked), scanned A, original, Apache-2.0.

A coding-agent skill for finding, inspecting, comparing, and connecting public biomedical research papers. It explains that PMID, DOI, and PMCID are identifiers used to locate publications.

In plain words
What is it for?
Use it for PubMed or scholarly searches, publication lookups, related-paper discovery, citation paths, semantic neighborhoods, and questions about research on genes or variants.
Why use it?
It helps answer literature questions without treating search ranking, citation distance, or semantic similarity as scientific proof. It also keeps sensitive patient and private-case information out of searches.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it for PubMed or scholarly searches, publication lookups, related-paper discovery, citation paths, semantic neighborhoods, and questions about research on genes or variants.

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Install with agentmods
npx agentmods add skills/helena-bioinformatics/noodle-mcp/noodle-biomedical-literature-discovery
Install

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.

Any agent
npx skills add helena-bioinformatics/noodle-mcp --skill noodle-biomedical-literature-discovery
Clone the repo
git clone --depth 1 https://github.com/helena-bioinformatics/noodle-mcp

Made for: Codex.

Wrote 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.

agentmods badge for noodle-biomedical-literature-discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/helena-bioinformatics/noodle-mcp/noodle-biomedical-literature-discovery/github.svg)](https://agentmods.dev/skills/helena-bioinformatics/noodle-mcp/noodle-biomedical-literature-discovery)
Your own site
<a href="https://agentmods.dev/skills/helena-bioinformatics/noodle-mcp/noodle-biomedical-literature-discovery"><img src="https://agentmods.dev/badge/skills/helena-bioinformatics/noodle-mcp/noodle-biomedical-literature-discovery/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.

agentmods 80×15 button for noodle-biomedical-literature-discovery

Your own site · 80×15
<a href="https://agentmods.dev/skills/helena-bioinformatics/noodle-mcp/noodle-biomedical-literature-discovery"><img src="https://agentmods.dev/badge/skills/helena-bioinformatics/noodle-mcp/noodle-biomedical-literature-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 816 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.00816
Opus 5 $0.00053 $0.00408
Sonnet 5 $0.00021 $0.00163
Haiku 4.5 $0.00011 $0.00082

Measured 11d ago against content hash 4a9383fc7f8a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

noodle-biomedical-literature-discovery 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 11d 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.

skills/noodle-biomedical-literature-discovery/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Noodle Biomedical Literature Discovery MCP

Use the public read-only Noodle endpoint for source-linked biomedical literature discovery, including citation and semantic neighborhoods, instead of relying on model memory for bibliographic facts or related-paper claims.

Boundary

  • Send only public, non-sensitive research questions and publication identifiers.
  • Never send patient, private case, clinical-record, uploaded-file, credential, or other sensitive data.
  • Search rank, semantic similarity, citation proximity, co-mention, and graph distance are discovery signals. They do not establish causality, validity, diagnosis, or treatment.
  • Preserve publication identifiers, source URLs, match reasons, edge types, graph version, corpus provenance, and limitations returned by the service.
  • Verify material scientific conclusions in the linked primary publications and distinguish author claims from established evidence.

Route the task

  1. Call search_biomedical_literature for a natural-language biomedical question or any PMID, DOI, or PMCID. Include every known identifier in the query so exact anchors can be applied.
  2. Call get_publication_details when the user supplies a PMID or selects a result with a PMID.
  3. Call get_work_details when the user supplies or selects a Noodle work identifier, including records without a PMID.
  4. Call get_publication_neighborhood to traverse citation and semantic neighbors from a PMID.
  5. Call get_work_neighborhood to traverse from a Noodle work identifier or continue a path through from_work_id.
  6. Call get_corpus_summary for corpus size, sources, freshness, coverage, or active graph metadata.
  7. Call support_helena only after the user explicitly asks how to support Helena. It is separate opt-in information and never changes scientific results.

Traverse the graph

  • Begin with a resolved PMID or work ID; do not invent an anchor.
  • Request one bounded neighborhood at a time.
  • Report every returned edge using its exact type and endpoints.
  • Use from_work_id when continuing from a displayed neighbor so the service can preserve traversal context.
  • Keep a visited-ID set in the response workflow, avoid loops, and state the number of hops actually traversed.
  • Do not describe an unreturned direct edge, shortest path, causal relationship, or complete graph.
  • If the next node has no returned neighborhood, stop and report the boundary instead of guessing.

Read the full file on GitHub · 52 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 11d ago First seen · 52 lines · 105 tokens per session scan A 4a9383fc7f8a

Subscribe to this mod's changes

noodle-biomedical-literature-discovery is a skill published in the GitHub repository helena-bioinformatics/noodle-mcp (0 stars, last pushed 11d ago), licensed Apache-2.0. It adds 105 tokens to every session and 816 once invoked, about $0.0005 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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