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Get Started Free →brycewang-stanford/Checking ChEMBL for Structured SAR Data
Check if medicinal chemistry papers are in ChEMBL database to access curated bioactivity data
Passed 21 of 21 test cases with the skill, and 15 of 21 without it.
and 9 more in the full report
6 fixed16 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
Given a JSON response from the ChEMBL document API stored in shell variable $response, write a shell snippet using jq to check whether the paper was found and extract its document ChEMBL ID.
| Checked | Without skill | With skill |
|---|---|---|
| Evaluates page_meta.total_count to verify if the paper exists in ChEMBL | Missed | Passed |
| Extracts documents[0].document_chembl_id when total_count is greater than zero | Missed | Passed |
The instructions your model reads when the skill loads.
ChEMBL is a manually curated database of ~99,000 medicinal chemistry papers with extracted, standardized bioactivity data. If a paper is in ChEMBL, you can access structured data without parsing PDFs.
Core principle: Check ChEMBL first for medicinal chemistry papers. Curated data is more reliable than table parsing.
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When NOT to use:
test cases passed, vs 15 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.