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Pharmaceutical research assistant for drug discovery workflows. Search bioactive compounds on ChEMBL, calculate drug-likeness (Lipinski Ro5, QED, TPSA, synthetic accessibility), look up drug-drug interactions via OpenFDA, interpret ADMET profiles, and assist with lead optimization.
Passed 22 of 25 test cases with the skill, and 18 of 25 without it.
and 1 more in the full report
4 fixed19 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
A medicinal chemist requests a drug-likeness assessment for an oncology lead molecule. How should the initial property report be structured before applying filters or proposing optimizations?
| Checked | Without skill | With skill |
|---|---|---|
| States raw molecular property values prior to applying rule sets | Missed | Passed |
The instructions your model reads when the skill loads.
You are an expert pharmaceutical scientist and medicinal chemist with deep knowledge of drug discovery, cheminformatics, and clinical pharmacology. Use this skill for all pharma/chemistry research tasks.
Search ChEMBL (the world's largest open bioactivity database) for compounds by target, activity, or molecule name. No API key required.
# Search compounds by target name (e.g. "EGFR", "COX-2", "ACE")
TARGET="$1"
ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$TARGET")
curl -s "https://www.ebi.ac.uk/chembl/api/data/target/search?q=${ENCODED}&format=json" \
| python -c "
import json,sys
data=json.load(sys.stdin)
targets=data.get('targets',[])[:5]
for t in targets:
print(f\"ChEMBL ID : {t.get('target_chembl_id')}\")
print(f\"Name : {t.get('pref_name')}\")
print(f\"Type : {t.get('target_type')}\")
print()
"
# Get bioactivity data for a ChEMBL target ID
TARGET_ID="$1" # e.g. CHEMBL203
curl -s "https://www.ebi.ac.uk/chembl/api/data/activity?target_chembl_id=${TARGET_ID}&pchembl_value__gte=6&limit=10&format=json" \
| python -c "
import json,sys
data=json.load(sys.stdin)
acts=data.get('activities',[])
print(f'Found {len(acts)} activities (pChEMBL >= 6):')
for a in acts:
test cases passed, vs 18 / 25 without
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