Openai KnowledgeSAFE
A lightweight, powerful framework for multi-agent workflows
Overview
A lightweight, powerful framework for multi-agent workflows
090ff821bbcdOBSERVED · 2026-10-06Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| codex | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: openai-knowledge
description: Retrieve authoritative OpenAI API and platform documentation when an integration or claim needs current external evidence.
---
# OpenAI Knowledge
## Overview
Use the OpenAI Developer Documentation MCP server to search and fetch exact docs (markdown), then base your answer on that text instead of guessing.
## Workflow
### 1) Check whether the Docs MCP server is available
If the `mcp__openaiDeveloperDocs__*` tools are available, use them.
If you are unsure, run `codex mcp list` and check for `openaiDeveloperDocs`.
### 2) Use MCP tools to pull exact docs
- Search first, then fetch the specific page or pages.
- `mcp__openaiDeveloperDocs__search_openai_docs` → pick the best URL.
- `mcp__openaiDeveloperDocs__fetch_openai_doc` → retrieve the exact markdown (optionally with an `anchor`).
- When you need endpoint schemas or parameters, use:
- `mcp__openaiDeveloperDocs__get_openapi_spec`
- `mcp__openaiDeveloperDocs__list_api_endpoints`
Base your answer on the fetched text and quote or paraphrase it precisely. Do not invent flags, field names, defaults, or limits.
### 3) If MCP is not configured, guide setup (do not change config unless asked)
Provide one of these setup options, then ask the user to restart the Codex session so the tools load:
- CLI:
- `codex mcp add openaiDeveloperDocs --url https://developers.openai.com/mcp`
- Config file (`~/.codex/config.toml`):
- Add:
```toml
[mcp_servers.openaiDeveloperDocs]
url = "https://developers.openai.com/mcp"
```
Also point to: https://developers.openai.com/resources/docs-mcp#quickstartTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (1)
CLAUDE.md
Gates applied: no_behavioural_pass.
090ff821bbcdfull audit observations/trust-audit/skill/openai__openai-knowledge.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-06 | 090ff821bbcd | SAFE | B | 89 | first audit |
Questions
What does the Openai Knowledge skill do?
A lightweight, powerful framework for multi-agent workflows
Is Openai Knowledge safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Openai Knowledge access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Openai Knowledge work with?
Its documentation mentions codex. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (090ff821bbcd), read on 2026-10-06. The repository is watched, and a new audit runs when it changes — this is the first audit.