what happens if the sun collapses | OpenAI | Page 1

wraith juniper May 12, 2026, 12:49 AM

#

Why?

north pantherBOT May 12, 2026, 12:49 AM

#

Hi @wraith juniper. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

#

Your question is about what happens if the sun collapses, which is an astronomy/astrophysics topic. I'm only able to answer questions related to OpenAI — its products, models, APIs, and services. I'm not able to help with general science questions like this one.

If you have any questions about OpenAI, feel free to ask!

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@wraith juniper Kapa.ai is still learning and improving, please let me know how I did by reacting below.

wraith juniper May 12, 2026, 12:50 AM

#

Hello?

#

@north panther how to set up mcp?

north pantherBOT May 12, 2026, 12:51 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

There are several ways to set up MCP depending on your context. Here's an overview:

Setting Up MCP with OpenAI

1. Codex CLI / IDE Extension

You can connect Codex to MCP servers via the CLI or by editing config.toml.

Using the CLI:

codex mcp add <server-name> -- <command>

For example, to add Context7:

codex mcp add context7 -- npx -y @upstash/context7-mcp

Using config.toml (~/.codex/config.toml):

For a stdio server:

[mcp_servers.context7]
command = "npx"
args = ["-y", "@upstash/context7-mcp"]

For a streamable HTTP server:

[mcp_servers.figma]
url = "<https://mcp.figma.com/mcp">
bearer_token_env_var = "FIGMA_OAUTH_TOKEN"

[Codex MCP Guide] [config.toml Reference]

2. Agents Python SDK

Choose a transport based on your needs:

Need	Option
Public remote MCP server via Responses API	`HostedMCPTool`
Streamable HTTP server you manage	`MCPServerStreamableHttp`
HTTP with Server-Sent Events	`MCPServerSse`
Local process via stdin/stdout	`MCPServerStdio`

Hosted MCP Tool example:

from agents import Agent, HostedMCPTool, Runner

agent = Agent(
    name="Assistant",
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "deepwiki",
                "server_url": "<https://mcp.deepwiki.com/mcp",>
                "require_approval": "never",
            }
        )
    ],
)

Local stdio MCP server example:

from agents import Agent, Runner
from agents.mcp import MCPServerStdio

#

async with MCPServerStdio(
name="Filesystem MCP Server",
params={
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "./sample_files"],
},
) as server:
agent = Agent(
name="Filesystem assistant",
instructions="Read files with the MCP tools before answering.",
mcp_servers=[server],
)
result = await Runner.run(agent, "Read the files and list them.")
print(result.final_output)


[[Agents SDK MCP](<https://openai.github.io/openai-agents-python/mcp/#model-context-protocol-mcp>); [Integrations Guide](<https://developers.openai.com/api/docs/guides/agents/integrations-observability>)]

---

### 3. Realtime API

Configure MCP tools via `session.update`:

```python
event = {
    "type": "session.update",
    "session": {
        "type": "realtime",
        "model": "gpt-realtime-2",
        "tools": [
            {
                "type": "mcp",
                "server_label": "openai_docs",
                "server_url": "<https://developers.openai.com/mcp",>
                "allowed_tools": ["search_openai_docs"],
                "require_approval": "never",
            }
        ],
    },
}

[Realtime MCP Guide]

Key tip: Use hosted MCP for public remote servers, and local/private MCP when your runtime needs to own the connection, filtering, or approvals.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@wraith juniper Kapa.ai is still learning and improving, please let me know how I did by reacting below.

wraith juniper May 12, 2026, 12:53 AM

#

How to set mcp in codxd

#

@north panther How to set it up in ocdex?

north pantherBOT May 12, 2026, 12:54 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

Setting Up MCP in Codex

There are two ways to configure MCP servers in Codex:

Option 1: Using the CLI (Recommended)

Run the following command to add an MCP server:

codex mcp add <server-name> -- <command>

Example — adding Context7 (a free MCP server for developer docs):

codex mcp add context7 -- npx -y @upstash/context7-mcp

Example — adding a streamable HTTP server like Linear:

codex mcp add linear --url <https://mcp.linear.app/mcp>

Then log in if required:

codex mcp login linear

[Codex MCP Guide] [Linear MCP]

Option 2: Editing `config.toml` Manually

Open ~/.codex/config.toml and add your server configuration.

STDIO server:

[mcp_servers.context7]
command = "npx"
args = ["-y", "@upstash/context7-mcp"]

Streamable HTTP server:

[mcp_servers.figma]
url = "<https://mcp.figma.com/mcp">
bearer_token_env_var = "FIGMA_OAUTH_TOKEN"

[config.toml Reference]

Useful CLI Commands

Command	Description
`codex mcp add <name>`	Add a new MCP server
`codex mcp list`	List configured servers
`codex mcp get <name>`	Show a specific server's config
`codex mcp login <name>`	OAuth login for HTTP servers
`codex mcp remove <name>`	Remove a server

[CLI Reference]

#

Note: The CLI and IDE extension share the same config.toml, so you only need to configure once regardless of which client you use.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@wraith juniper Kapa.ai is still learning and improving, please let me know how I did by reacting below.

wraith juniper May 12, 2026, 12:55 AM

#

What if you had better codex?

#

@north panther what if you had claude?

north pantherBOT May 12, 2026, 12:57 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

I'm sorry, but I'm only able to answer questions about OpenAI and its products. Questions about Claude (Anthropic's AI assistant) are outside my scope.

If you have any questions about OpenAI's models, APIs, or tools like Codex, feel free to ask!

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@wraith juniper Kapa.ai is still learning and improving, please let me know how I did by reacting below.

wraith juniper May 12, 2026, 1:01 AM

#

@north panther how to set up skills for codex?

north pantherBOT May 12, 2026, 1:01 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

Setting Up Skills in Codex

1. Create a Skill (Easiest Way)

Use the built-in skill creator:

$skill-creator

It will ask what the skill does, when it should trigger, and whether to include scripts. [Agent Skills]

2. Create a Skill Manually

Create a folder with a SKILL.md file:

my-skill/
├── SKILL.md         # Required: instructions + metadata
├── scripts/         # Optional: executable code
├── references/      # Optional: documentation
└── assets/          # Optional: templates, resources

Example SKILL.md:

---
name: commit
description: Stage and commit changes in semantic groups. Use when the user wants to commit, organize commits, or clean up a branch before pushing.
---

1. Do not run `git add .`. Stage files in logical groups by purpose.
2. Group into separate commits: feat → test → docs → refactor → chore.
3. Write concise commit messages that match the change scope.

[Customization Guide]

3. Where to Store Skills

Scope	Location
Personal (all repos)	`$HOME/.agents/skills`
Repo-specific (team)	`.agents/skills` in repo root

[Best Practices]

4. Invoking a Skill

Explicitly — mention it in your prompt using $skill-name or type $ in CLI/IDE to browse skills.
Implicitly — Codex automatically picks the right skill when your task matches the skill's description.

5. Tips for Good Skills

#

Write a clear description — it's how Codex decides when to use the skill.
Front-load key trigger words in the description.
Keep each skill scoped to one job.
Start simple, then add scripts or assets only when needed. [Best Practices]

Note: Codex detects skill changes automatically. If an update doesn't appear, restart Codex. [Agent Skills]

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@wraith juniper Kapa.ai is still learning and improving, please let me know how I did by reacting below.

wraith juniper May 12, 2026, 1:05 AM

#

How to write clear descriptions?

#

@north panther how to write clear descriptions?

north pantherBOT May 12, 2026, 1:05 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

Writing Clear Skill Descriptions in Codex

The description is one of the most important parts of a skill — it's how Codex decides when to use it. Here are the key guidelines from the knowledge sources:

Core Rules

Say what the skill does AND when to use it — both are required for reliable triggering. [Best Practices]
Front-load the key use case and trigger words — Codex may shorten descriptions if many skills are installed, so the most important info should come first. [Agent Skills]
Be concise with clear scope and boundaries — avoid vague or overly broad descriptions. [Agent Skills]

Include Trigger Phrases

Write the description so it includes the kinds of phrases a user would actually say. For example:

---
name: commit
description: Stage and commit changes in semantic groups. Use when the user wants to commit, organize commits, or clean up a branch before pushing.
---

Notice how it covers what it does ("stage and commit in semantic groups") and when to use it ("when the user wants to commit, organize commits, or clean up"). [Customization Guide]

For API Skills Specifically

If using skills via the OpenAI API, also consider:

Include "Use when…" vs. "Don't use when…" guidance in SKILL.md to improve routing accuracy.
Add negative examples (when the skill should not trigger) alongside positive ones.
If routing feels inconsistent, iterate on the name and description first before changing any code. [Skills in API]

#

Quick Checklist

✅ Do	❌ Avoid
Front-load the key use case	Burying the main purpose at the end
Include trigger phrases users would say	Vague or generic descriptions
Define clear scope and boundaries	Overly broad descriptions
Mention when NOT to use the skill	Only describing what it does

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@wraith juniper Kapa.ai is still learning and improving, please let me know how I did by reacting below.

wraith juniper May 12, 2026, 1:06 AM

#

@north panther What if you wanted a useful skill?

north pantherBOT May 12, 2026, 1:06 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

The knowledge sources don't explicitly define what makes a skill "useful" as a single concept, but they do provide clear guidance across several areas:

Building a Useful Skill

Start with a Real, Recurring Need

A good rule of thumb: if you keep reusing the same prompt or correcting the same workflow, it should probably become a skill. [Best Practices]

Great candidates include:

Log triage
Release note drafting
PR review against a checklist
Migration planning
Standard debugging flows

Keep It Focused

Scope each skill to one job only.
Start with 2–3 concrete use cases.
Define clear inputs and outputs.
Don't try to cover every edge case up front — get one representative task working well first. [Best Practices]

Write Good Instructions

Use imperative steps with explicit inputs and outputs.
Prefer instructions over scripts unless you need deterministic behavior or external tooling.
Add scripts or assets only when they genuinely improve reliability. [Best Practices]

Make It Discoverable

Write a clear description that says what it does and when to use it.
Include trigger phrases users would actually say.
Add "Use when…" and "Don't use when…" guidance. [Skills in API]

Iterate and Share

#

Start local while you iterate.
Once stable, store in $HOME/.agents/skills (personal) or .agents/skills (team).
When ready to share broadly, package it as a plugin. [Best Practices]

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@wraith juniper Kapa.ai is still learning and improving, please let me know how I did by reacting below.

wraith juniper May 12, 2026, 1:08 AM

#

@north panther How to copy a skill?

north pantherBOT May 12, 2026, 1:08 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

I'm sorry, but the knowledge sources do not contain enough information about copying an existing skill in Codex. The documentation covers creating, storing, and distributing skills, but does not describe a specific "copy skill" command or workflow.

What the knowledge sources do mention is that when migrating from another agent (e.g. Claude), Codex can copy skill folders as part of the import process:

"Copy skill folders from /Users/me/.claude/skills to /Users/me/.agents/skills."

[Migrate to Codex]

What You Can Do Manually

Since a skill is just a folder with a SKILL.md file, you can copy it manually using standard file system commands:

cp -R /path/to/existing-skill ~/.agents/skills/my-copied-skill

Then edit the SKILL.md as needed and restart Codex to pick up the changes. [Agent Skills]

For more specific guidance, I'd recommend checking the Codex documentation directly or asking in the Codex community forums.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@wraith juniper Kapa.ai is still learning and improving, please let me know how I did by reacting below.

wraith juniper May 12, 2026, 1:20 AM

#

@north panther how to make them better

north pantherBOT May 12, 2026, 1:20 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

How to Make Skills Better

Based on the previous conversation context, here's how to improve your Codex skills:

1. Improve the Description First

If a skill isn't triggering reliably, iterate on the name and description before changing any code. [Skills in API]

Front-load key trigger words
Add "Use when…" and "Don't use when…" guidance
Include negative examples (when the skill should not trigger)

2. Improve the Instructions

Write imperative steps with explicit inputs and outputs
Prefer instructions over scripts unless you need deterministic behavior
Add concrete templates and worked examples inside the skill — they cost nothing on turns where the skill isn't invoked [Skills in API]

3. Add Scripts Only When Needed

Include scripts or extra assets only when they improve reliability
Design scripts like tiny CLIs — runs from command line, prints deterministic output, fails loudly with errors [Skills in API]

4. Iterate Safely

Keep the first version local while you iterate
Test prompts against the skill description to confirm the right trigger behavior
Once stable, publish a new version rather than overwriting [Best Practices]

5. Keep It Focused

#

If a skill is doing too much, split it into smaller, focused skills — one job per skill
Start with 2–3 concrete use cases and expand from there [Agent Skills]

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@wraith juniper Kapa.ai is still learning and improving, please let me know how I did by reacting below.

wraith juniper May 12, 2026, 1:21 AM

#

@north panther how to keep them focused

north pantherBOT May 12, 2026, 1:21 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

Keeping Skills Focused

Based on the knowledge sources, here are the key ways to keep skills focused:

One Job Per Skill

The most important rule: keep each skill scoped to one job only. Avoid bundling multiple workflows into a single skill. [Agent Skills]

Start Small

Begin with 2–3 concrete use cases — not every possible scenario
Get one representative task working well first, then expand
Don't try to cover every edge case up front [Best Practices]

Define Clear Inputs and Outputs

Write imperative steps with explicit inputs and outputs
This keeps the skill predictable and prevents it from drifting into adjacent work [Agent Skills]

Use Clear Scope Boundaries in the Description

Include "Use when…" and "Don't use when…" guidance in your SKILL.md
This prevents the skill from being triggered for tasks it wasn't designed for [Skills in API]

Prefer Instructions Over Scripts

Prefer instructions over scripts unless you need deterministic behavior or external tooling
Only add scripts or assets when they genuinely improve reliability — extras can broaden scope unnecessarily [Agent Skills]

Rule of thumb: If you find yourself correcting the same workflow repeatedly or a skill feels too broad, split it into smaller, more focused skills — one per job.

#what happens if the sun collapses

If you have any questions about OpenAI, feel free to ask!

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

Setting Up MCP with OpenAI

1. Codex CLI / IDE Extension

2. Agents Python SDK

Key tip: Use hosted MCP for public remote servers, and local/private MCP when your runtime needs to own the connection, filtering, or approvals.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

Setting Up MCP in Codex

Option 1: Using the CLI (Recommended)

Option 2: Editing config.toml Manually

Useful CLI Commands

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

If you have any questions about OpenAI's models, APIs, or tools like Codex, feel free to ask!

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

Setting Up Skills in Codex

1. Create a Skill (Easiest Way)

2. Create a Skill Manually

3. Where to Store Skills

4. Invoking a Skill

5. Tips for Good Skills

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

Writing Clear Skill Descriptions in Codex

Core Rules

Include Trigger Phrases

For API Skills Specifically

Quick Checklist

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

Building a Useful Skill

Start with a Real, Recurring Need

Keep It Focused

Write Good Instructions

Make It Discoverable

Iterate and Share

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

What You Can Do Manually

For more specific guidance, I'd recommend checking the Codex documentation directly or asking in the Codex community forums.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

How to Make Skills Better

1. Improve the Description First

2. Improve the Instructions

3. Add Scripts Only When Needed

4. Iterate Safely

5. Keep It Focused

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

Keeping Skills Focused

One Job Per Skill

Start Small

Define Clear Inputs and Outputs

Use Clear Scope Boundaries in the Description

Prefer Instructions Over Scripts

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

Option 2: Editing `config.toml` Manually