mcpbeat

Alphafold Skill

openai/alphafold-skill

Submit compact AlphaFold Protein Structure Database API requests for prediction, UniProt summary, sequence summary, and annotation lookups. Use when a user wants AlphaFold metadata or concise structure 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 alphafold-skill

What comes with it

10 826 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 AlphaFold API calls.
  • Use base_url=https://alphafold.ebi.ac.uk/api.
  • The script accepts max_items, but set it explicitly only when trimming array-heavy responses; single-entry lookups usually do not need it.
  • For sequence/summary or annotations, start around max_items=3 to 5.
  • Re-run the request if the conversation is long instead of trusting older tool output.
  • Treat displayed ... in tool previews as UI truncation, not part of the real request.
  • If the user asks for full JSON, set save_raw=true and report the saved file path instead of pasting the payload into chat.

Execution behavior

  • Return concise markdown summaries from the script JSON by default.
  • Return the script JSON verbatim only if the user explicitly asks for machine-readable output.
  • Prefer these paths: prediction/<qualifier>, uniprot/summary/<qualifier>.json, sequence/summary, and annotations/<qualifier>.json.
  • Keep sequence-style inputs compact and prefer rerunning instead of copying prior output back into context.

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 AlphaFold patterns:
  • {"base_url":"https://alphafold.ebi.ac.uk/api","path":"prediction/Q5VSL9"}
  • {"base_url":"https://alphafold.ebi.ac.uk/api","path":"uniprot/summary/Q5VSL9.json"}
  • {"base_url":"https://alphafold.ebi.ac.uk/api","path":"annotations/Q5VSL9.json","params":{"type":"MUTAGEN"},"max_items":3}

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 such as invalid_json, invalid_input, network_error, or invalid_response.

Execution

echo '{"base_url":"https://alphafold.ebi.ac.uk/api","path":"prediction/Q5VSL9"}' | 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/alphafold-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.