enrichr-api

enrichr-api is a skill for Claude Code, Codex from wentorai/research-plugins. It costs 16 tokens per session (2,508 once invoked), scanned A, original, MIT.

A programming interface for gene-set enrichment analysis, which checks whether a list of genes is unusually concentrated in known biological groups. Enrichr compares the list with pathway, disease, cell-type, and other gene-set libraries.

In plain words
What is it for?
Use it to submit genes from an experiment, identify over-represented pathways or biological functions, and query enrichment results from selected libraries.
Why use it?
It turns a long gene list into interpretable biological themes instead of requiring researchers to inspect each gene individually. The same submitted list can be compared with multiple libraries.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to submit genes from an experiment, identify over-represented pathways or biological functions, and query enrichment results from selected libraries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wentorai/research-plugins/enrichr-api
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 wentorai/research-plugins --skill enrichr-api
Clone the repo
git clone --depth 1 https://github.com/wentorai/research-plugins

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 enrichr-api

README.md
[![agentmods](https://agentmods.dev/badge/skills/wentorai/research-plugins/enrichr-api/github.svg)](https://agentmods.dev/skills/wentorai/research-plugins/enrichr-api)
Your own site
<a href="https://agentmods.dev/skills/wentorai/research-plugins/enrichr-api"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/enrichr-api/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 enrichr-api

Your own site · 80×15
<a href="https://agentmods.dev/skills/wentorai/research-plugins/enrichr-api"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/enrichr-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,508 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00016 $0.02508
Opus 5 $0.00008 $0.01254
Sonnet 5 $0.00003 $0.00502
Haiku 4.5 $0.00002 $0.00251

Measured 6d ago against content hash f1e988be2a48, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

enrichr-api scanned grade A with 1 finding 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 6d 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.

Makes network callslowCapability

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

curl -X POST "https://maayanlab.cloud/Enrichr/addList" \
skills/domains/biomedical/enrichr-api/SKILL.md · 265 lines

How it starts

The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Enrichr Gene Set Enrichment Analysis API

Overview

Enrichr is the most widely used gene set enrichment analysis tool, developed by the Ma'ayan Lab at the Icahn School of Medicine at Mount Sinai. It tests whether a user-supplied gene list is statistically over-represented in curated gene set libraries spanning pathways, ontologies, transcription factor targets, disease associations, and cell types. The API provides access to 225 background libraries covering over 500,000 annotated gene sets. Free, no authentication required.

Two-Step Workflow

Enrichr uses a submit-then-query pattern:

  1. POST gene list to /addList -- returns a userListId token
  2. GET enrichment from /enrich using that token and a chosen library

The userListId persists on the server, so you can run multiple library queries against the same submission without re-uploading.

Core Endpoints

Base URL

https://maayanlab.cloud/Enrichr

Step 1: Submit Gene List

curl -X POST "https://maayanlab.cloud/Enrichr/addList" \
  -F "list=BRCA1
BRCA2
TP53
EGFR
MYC
PTEN
AKT1
KRAS
PIK3CA
RAF1" \
  -F "description=cancer_genes"

Response:

{
  "shortId": "8619200cc78f1513ff1029a04af90ad7",
  "userListId": 124544426
}

Genes are newline-separated. The request must use multipart/form-data (the -F flag), not application/x-www-form-urlencoded.

Step 2: Retrieve Enrichment Results

curl "https://maayanlab.cloud/Enrichr/enrich?userListId=124544426&backgroundType=KEGG_2021_Human"

Response (first 3 of 143 results):

{
  "KEGG_2021_Human": [
    [1, "Breast cancer", 3.37e-22, 198530.0, 9815800.25,
     ["PIK3CA","MYC","PTEN","AKT1","KRAS","BRCA1","BRCA2","RAF1","TP53","EGFR"],
     4.82e-20, 0, 0],
    [2, "Endometrial cancer", 1.35e-19, 1595.2, 69306.12,
     ["PIK3CA","MYC","PTEN","AKT1","KRAS","RAF1","TP53","EGFR"],
     9.68e-18, 0, 0],
    [3, "Central carbon metabolism in cancer", 6.66e-19, 1285.68, 53809.88,
     ["PIK3CA","MYC","PTEN","AKT1","KRAS","RAF1","TP53","EGFR"],
     3.17e-17, 0, 0]
  ]
}

Read the full file on GitHub · 265 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. 6d ago First seen · 265 lines · 16 tokens per session scan A f1e988be2a48

Subscribe to this mod's changes

enrichr-api is a skill published in the GitHub repository wentorai/research-plugins (291 stars, last pushed 2mo ago), licensed MIT. It adds 16 tokens to every session and 2,508 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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