Open WebUI Skills Not Loading in 2026: Open Terminal Compatibility, 404 Errors & Local Fixes

Open WebUI and Open Terminal make a useful local-agent combination: Open WebUI provides the interface and model connection, while Open Terminal gives an agent a controlled place to work with files and commands. But the integration has a failure mode that is easy to misdiagnose: a skill can appear in the Open WebUI picker, the underlying SKILL.md file can exist, ordinary terminal tools can work, and the skill can still fail when Open WebUI tries to load its contents.

A September 2026 Open WebUI issue documented exactly this pattern with Open WebUI 0.11.4 and Open Terminal 0.13.0. The reported local setup could discover skills and read the file through the terminal API, but Open WebUI's skill-detail request used a different endpoint and received a 404. The issue was subsequently marked fixed. This article turns that report into a reusable troubleshooting workflow rather than treating one version combination as a permanent rule.

What the integration is supposed to do

A skill is more than a name in a menu. The client needs to discover available skills and then retrieve the instructions associated with the selected skill. With Open WebUI and Open Terminal, that means several pieces have to agree:

The symptom: discovery works but loading fails

The most useful clue is a split result:

• The skill appears in the Open WebUI skill picker.
• Normal terminal tools work.
• The SKILL.md file exists.
• Open Terminal can return the skill through its documented read operation.
• Open WebUI reports a loading error.
• The Open Terminal log contains a 404 for a skill-detail request.

That combination points away from the model. It also points away from a missing file. Start by checking the API contract between the two services.

Step 1: Record the versions first

Before changing anything, record the versions of both applications. Version-specific API differences are much easier to diagnose when you know exactly what is running.

For Docker deployments, start with:

docker ps --format "table {{.Names}}\t{{.Image}}\t{{.Status}}"

If you use Docker Compose:

docker compose ps
docker compose images

For other installation methods, use the application's documented version command or release information.

Write the two versions down. Do not assume that upgrading one side automatically upgrades the other.

Step 2: Separate model problems from tool problems

Local models can fail at tool calling, but a skill-loading error is often one layer below the model.

Run a simple test:

1. Open a normal chat.
2. Confirm the configured model answers.
3. Run an ordinary terminal tool operation.
4. Open the skill picker.
5. Select one known skill.

If the model responds and ordinary terminal tools work but skill loading fails, focus on the Open WebUI/Open Terminal API boundary before changing models, context size or Ollama settings.

Step 3: Check whether the skill file actually exists

A skill normally has a SKILL.md file containing its instructions and supporting metadata. The exact storage layout depends on the Open Terminal version and configuration.

Use the terminal environment's normal file tools to confirm the file exists. For example, if you are inspecting a container interactively:

find / -name SKILL.md 2>/dev/null | head -20

Do not treat a missing file and an API mismatch as the same problem. If the file is present and readable, continue to the endpoint test.

Step 4: Inspect the Open Terminal API behavior

The September 2026 issue that motivated this guide reported that Open WebUI requested a path in the form:

GET /skills/<skill-name>

while the affected Open Terminal version exposed the successful read operation as:

GET /skills/read?name=<skill-name>

The important lesson is not to hard-code those paths forever. APIs can change. Instead, compare the endpoint Open WebUI requests with the endpoint the installed Open Terminal version documents and exposes.

If the log shows a 404 on the skill-detail endpoint while the corresponding documented read operation succeeds, you have strong evidence of a client/server compatibility mismatch.

Step 5: Test the connection from the correct network namespace

A common local-AI mistake is testing from the host while the actual request is made from a container.

If Open WebUI and Open Terminal are separate containers, 127.0.0.1 inside the Open WebUI container refers to the Open WebUI container itself, not the host and not the Open Terminal container.

In Docker Compose, prefer the service name on the shared network:

services:
  open-webui:
    # ...
  open-terminal:
    # ...

The Open WebUI service may therefore reach Open Terminal through a hostname such as open-terminal, depending on the Compose network.

From the Open WebUI container, test basic connectivity to the Open Terminal service. A successful TCP connection or health endpoint test tells you that the network path exists. It does not prove that the skill API contract matches.

Step 6: Check the API key separately

Skill discovery can sometimes succeed while a later request fails because the authentication header or credential path differs.

Confirm that:

• Open Terminal has the expected API key configured.
• Open WebUI is using the same current credential.
• The key was not changed without restarting the dependent service.
• Reverse proxies are not stripping the authorization header.

If an authenticated request to the documented skill-read endpoint works while the Open WebUI request returns 404, authentication is less likely to be the root cause and endpoint compatibility becomes more interesting.

Step 7: Inspect logs while reproducing the failure

Do not read logs after the fact if you can avoid it. Reproduce one failure while watching both services.

For Docker Compose:

docker compose logs -f open-webui
docker compose logs -f open-terminal

In a separate terminal, trigger the skill-loading action once.

Look for:

• HTTP status codes.
• The exact request path.
• Authentication failures.
• Connection resets.
• Reverse-proxy rewrites.
• Exceptions inside the skill loader.

A 404 is materially different from a 401, 403, timeout or 500. Keep the diagnosis tied to the observed failure.

What a 404 tells you

This is a diagnostic map, not a guarantee. The same status can have several causes, so confirm with logs and a direct API test.

When upgrading is the right fix

If the client expects an endpoint that the server version does not expose, changing the model is the wrong fix. Upgrade the component that is behind the documented compatibility boundary, or use a compatible pair recommended by the project.

Before upgrading:

• Record current versions.
• Back up persistent Open WebUI data if appropriate for your deployment.
• Read the release notes for both components.
• Keep a known-good image tag available for rollback.

After upgrading, repeat the exact skill-loading test and verify ordinary terminal operations too.

Do not confuse Open WebUI Skills with model tool calling

There are at least three separate concepts in a local agent stack:

A model can support tool calling perfectly while a skill API integration is broken. Conversely, a skill can load correctly while a model has poor tool-call behavior. Test each layer separately.

Security and privacy considerations

Skills are instructions that can influence how an agent uses tools. Review skill files before installing or importing them into a shared environment, especially when they reference shell commands, external services, package installation or sensitive paths.

Keep terminal agents isolated where possible. Open WebUI's Open Terminal security documentation recommends Docker and explains that bare-metal execution gives the AI process the permissions of the user running it.

Also avoid putting API keys directly into skill files. Prefer the credential mechanisms provided by the tool or deployment environment.

Hardware is usually not the first suspect

When a skill appears but fails to load, it is tempting to change the model, reduce context or blame VRAM. Those can matter for later tool execution, but they do not explain an HTTP 404 from a terminal service.

Use this order:

1. Network connectivity.
2. Authentication.
3. Endpoint compatibility.
4. Skill-file availability.
5. Tool execution.
6. Model tool-calling behavior.
7. Hardware and context tuning.

This ordering prevents a lot of unnecessary model swapping.

Quick recovery checklist

1. Record Open WebUI and Open Terminal versions.
2. Confirm ordinary terminal tools work.
3. Confirm the skill file exists.
4. Watch both logs while loading one skill.
5. Record the exact failing HTTP status and path.
6. Compare that path with the installed Open Terminal API documentation.
7. Test the documented skill-read operation directly.
8. Check container networking if the services are separate.
9. Check API-key handling and proxy headers.
10. Upgrade the incompatible component if the project has already fixed the mismatch.
11. Repeat the test after the upgrade.

FAQ

Why does the skill appear in Open WebUI but fail when selected?

Discovery and skill-content retrieval are separate operations. A client can successfully list a skill while failing on the endpoint used to retrieve its instructions.

Is a 404 always a bug?

No. It can mean a wrong endpoint, a version mismatch, a reverse-proxy rewrite or simply that the requested resource does not exist. Compare the requested path with the server's documented API.

Should I switch models when skills fail?

Not first. If the server returns a 404 before the model receives a tool request, changing the model does not address the API problem.

Can Docker cause this problem?

Docker can cause connectivity issues if services use the wrong hostname or network. It can also make host-versus-container localhost assumptions incorrect.

Do I need a large model for Open Terminal Skills?

The model still needs to follow the resulting instructions and use tools reliably, but a skill-loading HTTP error is independent of model capability. Solve the integration problem first, then evaluate model quality.

Official and primary sources

• Open WebUI issue #30410: terminal skills loading failure
• Open WebUI GitHub repository
• Open Terminal security documentation
• Open WebUI documentation

Related GyanAangan guides

• OpenHands + Ollama in 2026: Local AI Agent Profiles, MCP Scopes & Troubleshooting
• Ollama Security in 2026: GGUF Model Safety, Updates, Network Exposure & Agent Hardening
• MCP Inspector 2.8.0 in 2026: Debug Local AI MCP Servers Before Blaming the Model
• Cline Skills in 2026: Build Custom SKILL.md Workflows, Share Them & Avoid Context Bloat
• Cline MCP in 2026: Build Secure Tool Integrations, Remote Servers, Auto-Approval & Debugging