add-provider
Add a DeepChat LLM provider through explicit reviewed source changes
Install / Use
npx skills add ThinkInAIXYZ/deepchat --skill add-providerInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AI & Machine LearningSupported Platforms
Our assessment of add-provider
add-provider scores 84/100 on our quality scale, 408th of 730 AI & Machine Learning skills we index.
Its SKILL.md is 4.6 KB long, well organised into 10 sections with 1 code example: a solid amount of guidance for an agent.
With 6,341 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 2 days ago, so add-provider is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
add-provider compared with similar skills
All 4 of these similar skills score higher than add-provider; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| add-provider (this skill)by ThinkInAIXYZ | 84 | 6.3k | 2d ago | SKILL.md |
| claude-memby thedotmack | 100 | 94.7k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 85.6k | 11d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 84.3k | 14d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 73.9k | today | CLAUDE.md |
Frequently asked questions
- How do I install add-provider?
- Run
npx skills add ThinkInAIXYZ/deepchat --skill add-provider. The install tabs above show the steps for each supported agent. - Which AI agents does add-provider work with?
- It is written for OpenAI Codex, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is add-provider safe to use?
- It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is add-provider still maintained?
- The repository was last updated 2 days ago, so add-provider is actively maintained.
Skill content
View source on GitHubname: add-provider description: Add a DeepChat LLM provider through explicit reviewed source changes. Use when a developer asks Codex to add a provider, provider profile, upstream provider config, model catalog mapping, provider auth behavior, or a special provider adapter in this repository.
Add Provider
Goal
Generate DeepChat provider integration changes against the current provider architecture. Keep
provider display data in PublicProviderConf, map runtime behavior to known transports, and use a
special provider implementation only when the API behavior requires one.
Required Inputs
Collect or derive these before editing source:
- Provider ID in kebab case.
- Display name.
- API type or known transport family.
- Default base URL.
- Auth type: API key, no auth, OAuth, profile credentials, or provider-specific credential.
- Model metadata source: built-in config, provider-db, config-db, live model fetch, or custom only.
- Test model ID and check strategy.
- Official website, API key URL, docs URL, model list URL.
- Request quirks: headers, endpoint suffixes, route rewrites, streaming shape, tool-call support, reasoning support, image/audio/embedding endpoints, or proxy requirements.
Supported Paths
OpenAI-Compatible API
Use this when the provider supports OpenAI Chat Completions or Responses-compatible HTTP APIs.
Typical files:
src/main/provider/defaults.tssrc/main/provider/providerId.tssrc/main/provider/providerRegistry.tsfor runtime strategies and derived public catalog membershiptest/main/**provider registry or creation tests
Existing Native Transport
Use this when the provider maps to an existing DeepChat transport such as Anthropic, Gemini, Vertex, Azure, Bedrock, Ollama, or ACP.
Typical files:
src/main/provider/defaults.tssrc/main/provider/providerRegistry.ts- Settings components only when the existing generic form lacks required fields
- Focused tests for provider creation and connection checks
Special Provider
Use this when auth, request shape, streaming, discovery, or error handling differs from existing transports.
Typical files:
src/main/provider/providers/<providerName>Provider.tssrc/main/provider/<providerName>Adapter.tssrc/main/provider/managers/providerInstanceManager.tssrc/shared/contracts/routes/*andsrc/renderer/api/*Client.tsfor interactive authsrc/renderer/settings/components/*for provider-specific settings UI- Main and renderer tests covering the new behavior
Guardrails
- Do not introduce
ProviderRuntimeDefinition, generated runtime manifests, or runtime package-name inference. - Do not install provider SDK packages automatically.
- Do not execute provider logic in the renderer.
- Do not store new OAuth credentials in provider API-key fields.
- Do not add a special provider when a known transport and explicit config are sufficient.
- Reject the request when the required inputs cannot identify a safe path.
Workflow
- Read
docs/features/provider-runtime/spec.mdwhen the provider work touches the provider runtime scope. Also readplan.mdif it exists for an active provider-runtime goal. Treat any legacytasks.mdas migration input rather than another execution tracker. - Inspect the current provider files before editing:
src/main/provider/defaults.tssrc/main/provider/providerId.tssrc/main/provider/providerRegistry.tssrc/main/provider/aiSdk/providerFactory.tssrc/main/provider/managers/providerInstanceManager.tssrc/renderer/settings/components/ProviderApiConfig.vue
- Classify the request into one supported path.
- Add the smallest explicit source changes for that path.
- After implementation, assess provider creation, auth handling, and model discovery for durable regression coverage; add only the smallest contract-level tests warranted.
- Update an active SDD
plan.mdas coherent implementation slices land, when one exists. For a legacytasks.md, merge remaining work into the existing plan; without one, keep a single-slice complex bug checklist inspec.mdand createplan.mdfor feature, architecture, or multi-slice bug work. Do not update or recreate the task file. - Run:
pnpm run format
pnpm run i18n
pnpm run lint
pnpm run typecheck
Run focused main/renderer tests for any touched provider code.
Output Checklist
Report:
- Provider ID and API type.
- Selected path.
- Files changed.
- Runtime transport or special provider class.
- Credential storage location.
- Model metadata source.
- Check strategy and test model.
- Validation commands run.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
