mcpbeat

Gnomad Graphql Skill

openai/gnomad-graphql-skill

Submit compact gnomAD GraphQL requests for frequency, gene constraint, and variant context queries. Use when a user wants concise gnomAD summaries

2k 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 gnomad-graphql-skill

What comes with it

5 723 bytes besides the instruction
agents/openai.yaml
scripts/gnomad_graphql.py

The instruction itself

6 sections, as written by the author

Operating rules

  • Use scripts/gnomad_graphql.py for all gnomAD GraphQL work.
  • For nested GraphQL results, start with max_items=3 to 5.
  • Keep selection sets narrow and page or filter at the query level instead of asking for broad dumps.
  • Use query_path for long GraphQL documents instead of pasting large inline queries.
  • Re-run requests in long conversations instead of relying on earlier tool output.
  • Treat displayed ... in tool previews as UI truncation, not part of the real query.

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 targeted queries for variant frequency, gene constraint, or transcript consequence context.
  • 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 field: query or query_path
  • Optional fields: variables, max_items, max_depth, timeout_sec, save_raw, raw_output_path
  • Common gnomAD patterns:
  • {"query":"query { meta { clinvar_release_date } }"}
  • {"query":"query Variant($variantId: String!, $dataset: DatasetId!) { variant(variantId: $variantId, dataset: $dataset) { variantId genome { ac an af } } }","variables":{"variantId":"1-55516888-G-GA","dataset":"gnomad_r4"},"max_items":3}

Output

  • Success returns ok, source, top_keys, a compact summary, and raw_output_path when save_raw=true.
  • Failure returns ok=false with error.code such as invalid_json, invalid_input, network_error, invalid_response, or graphql_error.

Execution

echo '{"query":"query { meta { clinvar_release_date } }"}' | python scripts/gnomad_graphql.py

References

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

How to use it

Copy the folder

Take openai/gnomad-graphql-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.