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Get Started Free →mkurman/chembl-database
Query the ChEMBL database for bioactive molecules, drug targets, bioactivity data, approved drugs, and chemical structures.
5 of 22 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 5 comparable cases; this report requires 8.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
Before executing my first query using ChEMBL data, what prerequisite notification step should be checked or recorded in the skill directory?
| Checked | Without skill | With skill |
|---|---|---|
| Checks for the existence of LICENSE_NOTIFICATION.txt prior to executing queries. | Missed | Passed |
| Creates the notification file with timestamp if it does not exist. | Missed | Passed |
The instructions your model reads when the skill loads.
uv: Read the uv skill and follow its Setup instructions to ensure
uv is installed and on PATH.[!IMPORTANT] Use the Utility Scripts: You MUST ALWAYS use the provided
utility script scripts/chembl_api.py for all ChEMBL API interactions,
including checking status. NEVER use curl or custom Python requests to
query the ChEMBL API directly. This ensures rate limit is enfoced and also
retries on network errors.
Output to File (Required): The --output flag is required for every
subcommand. All JSON results are written to the specified file. After
running the command, read the output file with jq or your own code to
extract the data. List results are typically wrapped in a JSON array keyed
by the endpoint name (e.g., molecules, activities).
Notification: If this skill is used, ensure this is mentioned in the output.
All ChEMBL API queries use one script with subcommands:
uv run scripts/chembl_api.py <subcommand> --output <file> [options]
test cases passed with the skill
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.