Openai Knowledge
OfficialAccess and leverage OpenAI's internal knowledge base to answer questions about models, research, and company information.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add openai/openai-agents-js --skill openai-knowledge -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
openai
Matched to the vendor's own GitHub organisation.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned openai/openai-agents-js at fdaf0a66ca.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- fdaf0a66ca
- Scanned
- 2 files, 48 lines
About this skill
What it does
This skill enables AI agents to perform knowledge retrieval operations using OpenAI's infrastructure. It allows agents to fetch and process information dynamically, enhancing their ability to answer queries based on external data sources rather than relying solely on pre-trained weights.
When to use it
- Dynamic Q&A: When an agent needs to answer questions about current events or specific datasets not present in its training data.
- Research Automation: For workflows requiring the agent to gather context from multiple web sources before synthesizing a report.
- Fact Verification: To cross-reference claims made by users against real-time knowledge bases.
- Domain-Specific Queries: When operating in specialized fields where up-to-date documentation or regulations are critical.
Key capabilities
- Integration with OpenAI's retrieval mechanisms for external data access.
- Dynamic fetching of information during agent execution.
- Support for processing retrieved context into coherent responses.
Example prompts
- "Retrieve the latest specifications for the new iPhone model and summarize the key hardware upgrades."
- "Search for recent news articles regarding the merger between Company A and Company B, then provide a timeline of events."
- "Find the current stock price and market trends for Tesla over the last week."
Tips & gotchas
Ensure your agent has proper API credentials configured to access OpenAI services, as this skill relies on external connectivity. Be mindful that retrieval latency may increase response times compared to internal-only knowledge tasks.