--- name: hgnc-api description: Access the HGNC (HUGO Gene Nomenclature Committee) database to search for and retrieve gene information including symbols, names, IDs, and other metadata. license: MIT author: aipoch --- > **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills) # HGNC API Skill Access the HGNC database to retrieve standardized gene nomenclature and associated resources. ## When to Use - Use this skill when you need access the hgnc (hugo gene nomenclature committee) database to search for and retrieve gene information including symbols, names, ids, and other metadata in a reproducible workflow. - Use this skill when a evidence insight task needs a packaged method instead of ad-hoc freeform output. - Use this skill when the user expects a concrete deliverable, validation step, or file-based result. - Use this skill when `scripts/hgnc.py` is the most direct path to complete the request. - Use this skill when you need the `hgnc-api` package behavior rather than a generic answer. ## Key Features - Scope-focused workflow aligned to: Access the HGNC (HUGO Gene Nomenclature Committee) database to search for and retrieve gene information including symbols, names, IDs, and other metadata. - Packaged executable path(s): `scripts/hgnc.py`. - Structured execution path designed to keep outputs consistent and reviewable. ## Dependencies - `Python`: `3.10+`. Repository baseline for current packaged skills. - `Third-party packages`: `not explicitly version-pinned in this skill package`. Add pinned versions if this skill needs stricter environment control. ## Example Usage ```bash cd "20260316/scientific-skills/Evidence Insight/hgnc-api" python -m py_compile scripts/hgnc.py python scripts/hgnc.py --help ``` Example run plan: 1. Confirm the user input, output path, and any required config values. 2. Edit the in-file `CONFIG` block or documented parameters if the script uses fixed settings. 3. Run `python scripts/hgnc.py` with the validated inputs. 4. Review the generated output and return the final artifact with any assumptions called out. ## Implementation Details - Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable. - Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script. - Primary implementation surface: `scripts/hgnc.py`. - Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints. - Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects. ## Tools ### fetch Retrieve detailed gene records from HGNC. - **term** (string): The identifier to look up (e.g., "BRAF", "HGNC:1097"). - **field** (string, optional): The field to query against. Defaults to "symbol". **Command:** ```bash python scripts/hgnc.py fetch "{term}" --field "{field}" ``` ### search Search for genes using keywords or identifiers. Returns hgnc_id, symbol, and score. - **term** (string): The search query. - **field** (string, optional): Specific field to search in. **Command:** ```bash python scripts/hgnc.py search "{term}" --field "{field}" ``` ### get_info Get service status and metadata. **Command:** ```bash python scripts/hgnc.py info ```