
mgnify-skill
โ Officialโ 4,081by openai ยท part of openai/plugins
Submit compact MGnify API requests for microbiome studies, samples, and biome metadata. Use when a user wants concise MGnify summaries
๐ฅ๐ฅ๐ฅโ VerifiedFreeQuick setup
๐งฉ One of 7 skills in the openai/plugins package โ works on its own, and pairs well with its siblings.
This is the playbook your agent receives when the skill activates โ you don't need to read it to use the skill, but it's here to audit before installing.
Operating rules
- Use
scripts/rest_request.pyfor all MGnify calls. - Use
base_url=https://www.ebi.ac.uk/metagenomics/api/v1. - MGnify uses JSON:API-style responses. Prefer
record_path=datafor collection endpoints. - Keep requests narrow by study accession, sample accession, or biome whenever possible.
- Re-run requests in long conversations instead of relying on older tool output.
Execution behavior
- Return concise markdown summaries from the script JSON by default.
- Return raw JSON only if the user explicitly asks for machine-readable output.
- Prefer these paths:
studies,samples, andbiomes.
Input
- Read one JSON object from stdin.
- Required fields:
base_url,path - Optional fields:
method,params,headers,json_body,form_body,record_path,response_format,max_items,max_depth,timeout_sec,save_raw,raw_output_path - Common MGnify patterns:
{"base_url":"https://www.ebi.ac.uk/metagenomics/api/v1","path":"studies","params":{"page_size":10},"record_path":"data","max_items":10}{"base_url":"https://www.ebi.ac.uk/metagenomics/api/v1","path":"biomes","params":{"page_size":10},"record_path":"data","max_items":10}
Output
- Success returns
ok,source,path,method,status_code,warnings, and either compactrecordsor a compactsummary. - Use
raw_output_pathwhensave_raw=true. - Failure returns
ok=falsewitherror.codeanderror.message.
Execution
echo '{"base_url":"https://www.ebi.ac.uk/metagenomics/api/v1","path":"studies","params":{"page_size":10},"record_path":"data","max_items":10}' | python scripts/rest_request.pyReferences
- No additional runtime references are required; keep the import package limited to this file and
scripts/rest_request.py.
Copy & paste โ that's it
npx skills add openai/plugins --skill "mgnify-skill" --full-depthRun this in your project โ your agent picks the skill up automatically.
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.