pubchem-database

pubchem-database is a skill for Claude Code, Codex from Zaoqu-Liu/ScienceClaw. It costs 49 tokens per session (4,223 once invoked), scanned A, a copy of pubchem-database, MIT.

A programming interface for PubChem, a public database of chemical compounds and their biological activity. It can find compounds by name or chemical structure and return their molecular properties.

In plain words
What is it for?
Use it to retrieve compound properties, find similar or matching substructures, inspect bioactivity data, and convert between chemical identifiers.
Why use it?
It avoids manually searching chemical databases and makes structure-based comparisons possible in code.

Skill for Claude CodeCodex

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

Good fit Use it to retrieve compound properties, find similar or matching substructures, inspect bioactivity data, and convert between chemical identifiers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zaoqu-liu/scienceclaw/pubchem-database
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 Zaoqu-Liu/ScienceClaw --skill pubchem-database
Clone the repo
git clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClaw

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 pubchem-database

README.md
[![agentmods](https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/pubchem-database.svg)](https://agentmods.dev/skills/zaoqu-liu/scienceclaw/pubchem-database)
Your own site
<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/pubchem-database"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/pubchem-database.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,223 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.
Origin 86% copy Near-identical to another mod 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 $0.00049 $0.04223
Opus 5 $0.00024 $0.02112
Sonnet 5 $0.00010 $0.00845
Haiku 4.5 $0.00005 $0.00422

Measured 4d ago against content hash 5821c6858329, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

pubchem-database 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 4d 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.

response = requests.get(url)
Origin

This is a copy

86% identical to pubchem-database — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/pubchem-database/SKILL.md · 574 lines

How it starts

The opening of the file, as written. The whole thing — 574 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PubChem Database

Overview

PubChem is the world's largest freely available chemical database with 110M+ compounds and 270M+ bioactivities. Query chemical structures by name, CID, or SMILES, retrieve molecular properties, perform similarity and substructure searches, access bioactivity data using PUG-REST API and PubChemPy.

When to Use This Skill

This skill should be used when:

  • Searching for chemical compounds by name, structure (SMILES/InChI), or molecular formula
  • Retrieving molecular properties (MW, LogP, TPSA, hydrogen bonding descriptors)
  • Performing similarity searches to find structurally related compounds
  • Conducting substructure searches for specific chemical motifs
  • Accessing bioactivity data from screening assays
  • Converting between chemical identifier formats (CID, SMILES, InChI)
  • Batch processing multiple compounds for drug-likeness screening or property analysis

Core Capabilities

1. Chemical Structure Search

Search for compounds using multiple identifier types:

By Chemical Name:

import pubchempy as pcp
compounds = pcp.get_compounds('aspirin', 'name')
compound = compounds[0]

By CID (Compound ID):

compound = pcp.Compound.from_cid(2244)  # Aspirin

By SMILES:

compound = pcp.get_compounds('CC(=O)OC1=CC=CC=C1C(=O)O', 'smiles')[0]

By InChI:

compound = pcp.get_compounds('InChI=1S/C9H8O4/...', 'inchi')[0]

By Molecular Formula:

compounds = pcp.get_compounds('C9H8O4', 'formula')
# Returns all compounds matching this formula

2. Property Retrieval

Retrieve molecular properties for compounds using either high-level or low-level approaches:

Using PubChemPy (Recommended):

import pubchempy as pcp

# Get compound object with all properties
compound = pcp.get_compounds('caffeine', 'name')[0]

# Access individual properties
molecular_formula = compound.molecular_formula
molecular_weight = compound.molecular_weight
iupac_name = compound.iupac_name
smiles = compound.canonical_smiles
inchi = compound.inchi
xlogp = compound.xlogp  # Partition coefficient
tpsa = compound.tpsa    # Topological polar surface area

Read the full file on GitHub · 574 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. 4d ago First seen · 574 lines · 49 tokens per session scan A 5821c6858329

Subscribe to this mod's changes

pubchem-database is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It adds 49 tokens to every session and 4,223 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 86% identical to pubchem-database, differing in 6 lines, and is treated as a copy.

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