Answer first
OpenAI says the program provides more than 75 life science skills and research connectors. The list is a capability catalog, not proof that every skill is installed, approved, appropriate for a dataset, or scientifically correct.
Evaluate one skill at a time
| Gate | Record |
|---|---|
| Identity | Skill name, owner, version, source, review date |
| Input | Dataset, rights, consent, format, checksum, exclusions |
| Method | Tools, databases, models, parameters, assumptions |
| Environment | Packages, compute, network, secrets, region |
| Output | Files, logs, citations, uncertainty, failed paths |
| Validation | Reference result, expert review, replication, safety |
For genomic, clinical, protein, or drug-discovery work, keep research output separate from individual diagnosis, treatment, trial eligibility, laboratory safety, or regulatory conclusions.
Connector rules
Connectors use their source systems’ authentication and permissions. Limit repositories, notebooks, reference libraries, datasets, and write actions to the project. Re-authorize when the source, data class, purpose, action, or destination changes.
Frequently asked questions
Are all 75+ skills available to every account?
Do not assume so. Check the approved workspace, installed catalog, plan, region, and current program documentation.
Can public databases be copied without restrictions?
No. Public access does not erase license, attribution, consent, rate, privacy, or downstream-use terms.
Can a skill replace a validated pipeline?
It can assist or wrap a pipeline, but the team must pin versions, test outputs, inspect methods, and reproduce the result.
Official sources
- OpenAI: ChatGPT for Academic Researchers
- OpenAI life science research skills repository
- OpenAI connector permissions
Source check: August 5, 2026.