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Add Model Provider

OrganizationPopular
openclaw
add-model-provider

Add and live-prove a model provider with non-interactive config one-liners, without exposing credentials.

Overview

Publisheropenclaw
Repositoryopenclaw
Skill nameadd-model-provider
Stars
391K
Forks
82.2K
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by openclaw on GitHub. Read the source before you install it.

Installation

Install the Add Model Provider AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/openclaw/openclaw/tree/main/custodian-skills/add-model-provider
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/openclaw/openclaw.git /tmp/openclaw
mkdir -p .claude/skills
cp -r /tmp/openclaw/custodian-skills/add-model-provider .claude/skills/add-model-provider
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Model Provider in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Add Model Provider on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Add Model Provider is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Add a model provider

Never print or persist secret values; credentials enter config only as SecretRefs (env or file source). Never hand-edit config files on disk — every mutation goes through openclaw config so it is validated and audited. Every run ends with the observable Prove result or an exact explanation of why it could not be proven.

In-session config_set/config_set_ref tool actions are policy-blocked for models.* and secrets.*; use the trusted shell (exec) for the commands below. set_default_model is the one in-session action allowed to change the default route — it live-tests before saving.

Gather

openclaw config get models --json          # "Config path not found" is normal before first setup
openclaw models list --agent <agentId>     # --agent is required in multi-agent rosters
openclaw models auth list --agent <agentId>
openclaw config schema --json | jq '.properties.models'   # confirm exact provider paths before writing
openclaw plugins list   # OpenAI routes need the codex harness plugin; enable/install NOW, not mid-proof

If the harness plugin for the target provider is missing or disabled, remediate here (openclaw plugins enable codex or openclaw plugins install @openclaw/codex) so the Prove step does not stall on it later; plugin enable is picked up by gateway hot-reload.

Decide the auth contract: API-key providers take a SecretRef on models.providers.<id>.apiKey; subscription/OAuth providers (ChatGPT/Codex, Claude subscriptions) use openclaw models auth login --provider <id> instead and must not be given an API key path.

Mutate

API-key example (OpenAI), key staged by the operator in a 0600 file — validate first with --dry-run, then write:

openclaw config set secrets.providers.openai_key_file --provider-source file --provider-path /path/to/openai.key --provider-mode singleValue --dry-run
openclaw config set secrets.providers.openai_key_file --provider-source file --provider-path /path/to/openai.key --provider-mode singleValue
openclaw config set models.providers.openai.apiKey --ref-provider openai_key_file --ref-source file --ref-id value

Env-var alternative when the gateway process env carries the key:

openclaw config set models.providers.openai.apiKey --ref-provider default --ref-source env --ref-id OPENAI_API_KEY

To change a default model, use the in-session set_default_model action (with agentId for a non-default agent); it live-tests the route before saving. Do not change defaults with raw config writes.

Repair

openclaw doctor --lint

doctor --lint can exit 1 for findings: read the report and continue the remaining checks. Ordinary doctor and doctor --non-interactive can write config/state; do not use them for diagnosis before approval. If a repair is needed, get explicit approval, run openclaw doctor --fix --non-interactive, then re-run the Gather reads.

Prove

Roster-safe probe (works in every setup; use your own agent id or any configured agent):

openclaw agent --agent <agentId> --model openai/gpt-5.4 -m "Reply with exactly: PROVIDER-PROOF-OK"

Single-agent installs can use the lighter completion probe instead — it has no --agent flag and fails with "no explicit owner" on multi-agent rosters, so do not retry it there:

openclaw infer model run --gateway --model openai/gpt-5.4 --prompt "Reply with exactly: PROVIDER-PROOF-OK"

Expect the exact probe string; record model id and wall time. Known dependency: OpenAI routes need the codex harness plugin at runtime — if the probe reports the runtime unavailable, run openclaw plugins install @openclaw/codex and restart the gateway, then re-probe.

Report

State the provider added, the SecretRef path written (never the value), the probe result with model id and latency, and whether the default model changed. If the probe failed, report the exact error and the next command to try.

Further reference: https://docs.openclaw.ai/providers/models and https://docs.openclaw.ai/providers/openai

Frequently asked questions

What does the Add Model Provider AI skill do?

Add and live-prove a model provider with non-interactive config one-liners, without exposing credentials.

Why use Add Model Provider on TypingMind?

Because you install it once and use it with any model. Add Model Provider is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Add Model Provider in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openclaw/openclaw/tree/main/custodian-skills/add-model-provider. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Add Model Provider?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Add Model Provider?

As many as you like. As long as a model supports skills, you can use Add Model Provider with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Add Model Provider AI skill free?

It is published on GitHub by openclaw. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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