Query PubChem via PUG-REST API/PubChemPy (110M+ compounds). Search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, for cheminformatics.
79
75%
Does it follow best practices?
Impact
84%
1.47xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/pubchem-database/SKILL.mdBatch compound property retrieval with drug-likeness screening
Uses PubChemPy
100%
100%
uv pip install
0%
100%
Batch property retrieval
0%
100%
Request delays
100%
100%
CID reuse
0%
50%
Pandas DataFrame output
0%
100%
Error handling
40%
100%
Safe property access
50%
100%
Lipinski MW criterion
100%
100%
Lipinski LogP criterion
100%
100%
Lipinski HBD criterion
100%
100%
Lipinski HBA criterion
100%
100%
Similarity search for lead compound optimization
Uses PubChemPy similarity
100%
100%
Threshold parameter
100%
100%
MaxRecords parameter
100%
100%
uv pip install
0%
25%
CID for property lookup
80%
60%
Request delays
0%
0%
Error handling
20%
20%
SMILES for query
0%
100%
Properties of similar compounds
100%
100%
Results output file
100%
100%
Safe property access
0%
0%
Bioactivity data retrieval and compound annotation
Uses bioactivity_query.py
0%
100%
PUG-View API usage
100%
100%
Request delays present
50%
100%
uv pip install
0%
0%
CID-based lookups
100%
100%
Error handling
100%
100%
Assaysummary endpoint
100%
100%
PubChemPy for initial lookup
0%
100%
Annotation section filter
100%
100%
Results written to file
100%
100%
71add64
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.