mcpbeat

Encode Skill

openai/encode-skill

Submit compact ENCODE REST API requests for object lookups, portal-style search, and metadata retrieval. Use when a user wants concise ENCODE summaries

3k tokens
context cost
the whole folder, loaded on every use
3
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
4915
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/openai/plugins --skill encode-skill

What comes with it

10 818 bytes besides the instruction
agents/openai.yaml
scripts/rest_request.py

The instruction itself

6 sections, as written by the author

Operating rules

  • Use scripts/rest_request.py for 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 with limit=10 and max_items=10.
  • Send Accept: application/json in headers and add format=json in params when 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 as search/.
  • If the user needs the full payload, set save_raw=true and 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 compact records or a compact summary.
  • Use raw_output_path when save_raw=true.
  • Failure returns ok=false with error.code and error.message.

Execution

echo '{"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}' | python scripts/rest_request.py

References

  • No additional runtime references are required; keep the import package limited to this file and scripts/rest_request.py.

How to use it

Copy the folder

Take openai/encode-skill from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.