---
name: openai--life-science-research--civic-skill
description: >-
  Submit compact CIViC GraphQL requests for cancer variant interpretation schema inspection and targeted evidence retrieval. Use when a user wants concise CIViC summaries
origin: "openai/plugins — life-science-research/civic-skill (MIT)"
license: MIT
version: "0.1.0"
compatibility: "yamtam-engine >= 0.14.0"
---

## Operating rules
- Use `scripts/civic_graphql.py` for all CIViC GraphQL work.
- Keep selection sets narrow and start with schema or targeted entity queries.
- Use `query_path` for longer GraphQL documents instead of pasting large inline queries.
- Re-run requests in long conversations instead of relying on older tool output.

## 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 sanity, schema, and targeted evidence queries over broad graph dumps.

## 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 CIViC patterns:
  - `{"query":"query { __typename }"}`
  - `{"query":"query { __schema { queryType { fields { name } } } }","max_items":20}`

## 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
```bash
echo '{"query":"query { __typename }"}' | python scripts/civic_graphql.py
```

## References
- No additional runtime references are required; keep the import package limited to this file and `scripts/civic_graphql.py`.