Submit compact BioStudies and ArrayExpress API requests for free-text search and accession-based study retrieval. Use when a user wants concise BioStudies summaries
89%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Low
Low-risk findings worth noting
scripts/rest_request.py for all BioStudies and ArrayExpress calls.base_url=https://www.ebi.ac.uk/biostudies/api/v1.pageSize=10 and max_items=10; accession lookups usually do not need max_items.... in tool previews as UI truncation, not literal request content.search, ArrayExpress/search, studies/<accession>, and studies/<accession>/info.save_raw=true and report the saved file path instead of pasting large study records into chat.base_url, pathmethod, params, headers, json_body, form_body, record_path, response_format, max_items, max_depth, timeout_sec, save_raw, raw_output_path{"base_url":"https://www.ebi.ac.uk/biostudies/api/v1","path":"search","params":{"query":"rna","page":1,"pageSize":10},"record_path":"hits","max_items":10}{"base_url":"https://www.ebi.ac.uk/biostudies/api/v1","path":"ArrayExpress/search","params":{"query":"single cell","page":1,"pageSize":10},"record_path":"hits","max_items":10}{"base_url":"https://www.ebi.ac.uk/biostudies/api/v1","path":"studies/E-MTAB-6701"}ok, source, path, method, status_code, warnings, and either compact records or a compact summary.raw_output_path when save_raw=true.ok=false with error.code and error.message.echo '{"base_url":"https://www.ebi.ac.uk/biostudies/api/v1","path":"search","params":{"query":"rna","page":1,"pageSize":10},"record_path":"hits","max_items":10}' | python scripts/rest_request.pyscripts/rest_request.py.openai/plugins
d420d13
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.