CtrlK
BlogDocsLog inGet started
Tessl Logo

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

80

Quality

100%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

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.
Repository
openai/plugins
Last updated
First committed

Is this your skill?

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.