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Query the JASPAR database for Transcription Factor (TF) binding profiles.
Passed 7 of 12 test cases with the skill, and 4 of 12 without it.
and 3 more in the full report
5 fixed7 passed either way10 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 infer potential matrix profiles from a raw amino acid sequence 'QAQLLPSHHVG'. What CLI flag is used to pass the protein sequence to the inference tool?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies the --sequence flag. | Missed | Passed |
The instructions your model reads when the skill loads.
JASPAR is the definitive open-access database for Transcription Factor (TF) binding profiles, stored as Position Frequency Matrices (PFMs).
Use this skill to map abstract sequence motifs or genomic regions to specific biological regulators (e.g., "what TFs bind here?" or "what is the motif for CTCF?").
uv: Read the uv skill and follow its Setup instructions to ensure
uv is installed and on PATH.CRITICAL: You MUST respect the JASPAR API Terms of Use by adhering to the following:
jaspar_api.py script automatically
chunks larger requests for you to bypass this limitation when querying
larger regions.get_tf_motif, get_tf_metadata, and get_tf_pwm
require a stable JASPAR Matrix ID (e.g., MA0488.2). If a user provides a
gene symbol (e.g., JUN), you must resolve it first using resolve_tf_id.tax_id to ensure targeted
searches. Common IDs: Human=9606, Mouse=10090.test cases passed, vs 4 / 12 without
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