reactome-database

reactome-database is a skill for Claude Code, Codex from beita6969/ScienceClaw. It costs 35 tokens per session (1,953 once invoked), scanned B, original, MIT.

A searchable database of biological pathways, which describe how genes, proteins, and chemical reactions work together in cells. It supports pathway lookup, gene mapping, enrichment analysis, and interaction research.

In plain words
What is it for?
Use it to find pathways, map genes or proteins, analyze gene-expression results, study disease mechanisms, and explore molecular interactions.
Why use it?
It helps turn lists of genes or proteins into biological processes that can be interpreted and compared.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/reactome_query.py query R-HSA-69278.

Good fit Use it to find pathways, map genes or proteins, analyze gene-expression results, study disease mechanisms, and explore molecular interactions.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/beita6969/ScienceClaw
agentmods
npx agentmods add skills/beita6969/scienceclaw/reactome-database

Made for: Claude Code, 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 reactome-database

README.md
[![agentmods](https://agentmods.dev/badge/skills/beita6969/scienceclaw/reactome-database/github.svg)](https://agentmods.dev/skills/beita6969/scienceclaw/reactome-database)
Your own site
<a href="https://agentmods.dev/skills/beita6969/scienceclaw/reactome-database"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/reactome-database/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 reactome-database

Your own site · 80×15
<a href="https://agentmods.dev/skills/beita6969/scienceclaw/reactome-database"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/reactome-database.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,953 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 130
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 171
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 185
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
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 $0.00035 $0.01953
Opus 5 $0.00017 $0.00977
Sonnet 5 $0.00007 $0.00391
Haiku 4.5 $0.00003 $0.00195

Measured 8d ago against content hash bd28e6349996, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

reactome-database scanned grade B with 2 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

response = requests.post( "https://reactome.org/AnalysisService/identifiers/",

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

response = requests.get("https://reactome.org/ContentService/data/database/version")
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/reactome-database/SKILL.md · 278 lines

How it starts

The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reactome Database

Overview

Reactome is a free, open-source, curated pathway database with 2,825+ human pathways. Query biological pathways, perform overrepresentation and expression analysis, map genes to pathways, explore molecular interactions via REST API and Python client for systems biology research.

When to Use This Skill

This skill should be used when:

  • Performing pathway enrichment analysis on gene or protein lists
  • Analyzing gene expression data to identify relevant biological pathways
  • Querying specific pathway information, reactions, or molecular interactions
  • Mapping genes or proteins to biological pathways and processes
  • Exploring disease-related pathways and mechanisms
  • Visualizing analysis results in the Reactome Pathway Browser
  • Conducting comparative pathway analysis across species

Core Capabilities

Reactome provides two main API services and a Python client library:

1. Content Service - Data Retrieval

Query and retrieve biological pathway data, molecular interactions, and entity information.

Common operations:

  • Retrieve pathway information and hierarchies
  • Query specific entities (proteins, reactions, complexes)
  • Get participating molecules in pathways
  • Access database version and metadata
  • Explore pathway compartments and locations

API Base URL: https://reactome.org/ContentService

2. Analysis Service - Pathway Analysis

Perform computational analysis on gene lists and expression data.

Analysis types:

  • Overrepresentation Analysis: Identify statistically significant pathways from gene/protein lists
  • Expression Data Analysis: Analyze gene expression datasets to find relevant pathways
  • Species Comparison: Compare pathway data across different organisms

API Base URL: https://reactome.org/AnalysisService

3. reactome2py Python Package

Python client library that wraps Reactome API calls for easier programmatic access.

Installation:

uv pip install reactome2py

Read the full file on GitHub · 278 lines

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. 8d ago First seen · 278 lines · 35 tokens per session scan B bd28e6349996

Subscribe to this mod's changes

reactome-database is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 1,953 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

biopython

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use…

synthetic-sciences/openscience · 76 tokens

scanpy

Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use…

synthetic-sciences/openscience · 68 tokens

structure-prediction

Protein structure prediction from sequence. ESMFold-based, single GPU, no MSA needed. Predicts 3D structures with pLDDT confidence scores for drug discovery targets.

synthetic-sciences/openscience · 42 tokens

biomcp

Search and retrieve biomedical data - genes, variants, clinical trials, diagnostic tests, articles, drugs, diseases, pathways, proteins, adverse events, pharmacogenomics, and phenotype-disease matching. Use for gene function, variant pathogenicity, trials, diagnostics, drug safety, pathway context, disease workups…

genomoncology/biomcp · 70 tokens

biomcp-research

Do biomedical literature and variant research with the BioMCP CLI, and file what you learn about the tool itself as issues in the biomcp repo.

genomoncology/biomcp · 36 tokens

biological-expert

Expert-level biology, biotechnology, genetics, bioinformatics, and computational biology. Use when the user mentions biology, biotechnology, genetics, bioinformatics, or genomics, or when the task involves Molecular Biology, Genomics & Bioinformatics, Systems Biology, or Data Analysis.

personamanagmentlayer/pcl · 59 tokens