openai/plugins/encode-skill
Claude Code and agent skill by openai/plugins
Trust tier 4
- vendor
Source check pending
Checking that the SKILL.md file is still in the repository.
Submit compact ENCODE REST API requests for object lookups, portal-style search, and metadata retrieval. Use when a user wants concise ENCODE summaries
Install
npx vskill@latest install openai/plugins/encode-skillSKILL.md
Operating rules
- Use
scripts/rest_request.pyfor all ENCODE API calls. - Use
base_url=https://www.encodeproject.org. - Object lookups usually do not need
max_items; portal-style search endpoints are better withlimit=10andmax_items=10. - Send
Accept: application/jsoninheadersand addformat=jsoninparamswhen needed. - Keep request volume modest and avoid large unfiltered searches.
- Re-run requests in long conversations instead of relying on older tool output.
- Treat displayed
...in tool previews as UI truncation, not literal request content.
Execution behavior
- Return concise markdown summaries from the script JSON by default.
- Prefer accession paths such as
biosamples/<accession>/and search paths such assearch/. - If the user needs the full payload, set
save_raw=trueand report the saved file path.
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 ENCODE patterns:
{"base_url":"https://www.encodeproject.org","path":"biosamples/ENCBS000AAA/","params":{"frame":"object","format":"json"},"headers":{"Accept":"application/json"}}{"base_url":"https://www.encodeproject.org","path":"search/","params":{"type":"Experiment","assay_term_name":"RNA-seq","limit":10,"format":"json"},"record_path":"@graph","headers":{"Accept":"application/json"},"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
References
- No additional runtime references are required; keep the import package limited to this file and
scripts/rest_request.py.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files. Certified 27 Apr 2026.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingplugins/life-science-research/skills/encode-skill/SKILL.md
Popularity
- Repository stars
- 940
- Repository forks
- 112
- 7-day trend score
- 34
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 27 Apr 2026, 6 months ago.
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