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Query the ENCODE Registry of cis-Regulatory Elements (cCREs) via the SCREEN GraphQL API, or make custom queries to the ENCODE Portal REST API for experiments and files (ChIP-seq peaks, etc.).
Passed 6 of 12 test cases with the skill, and 3 of 12 without it.
and 4 more in the full report
5 fixed6 passed either way11 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.
I want to search cCREs explicitly on mouse genome assembly mm10 instead of the default human assembly. What command flag specifies mouse assembly mm10?
| Checked | Without skill | With skill |
|---|---|---|
| Passes the flag --assembly mm10 to screen_api.py. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill allows you to query the ENCODE Registry of cCREs (candidate cis-Regulatory Elements) via the SCREEN GraphQL API. It helps identify functional non-coding DNA elements (like Promoters, Enhancers, and insulators) by analyzing biochemical signatures (DNase, H3K4me3, H3K27ac, CTCF).
uv: Read the uv skill and follow its Setup instructions to ensure
uv is installed and on PATH.cat to read the entire JSON output file
into context, as it can be extremely large. You MUST use jq to efficiently
parse and extract relevant fields.# Search cCREs by coordinates
uv run scripts/screen_api.py search --chromosome chr11 \
--start 5205263 --end 5207263 \
--output /tmp/search.json
# Get details for a specific cCRE
uv run scripts/screen_api.py details EH38E2941922 \
--output /tmp/details.json
test cases passed, vs 3 / 12 without
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