oneworks-model-services

Instructions for configuring OneWorks model services, including provider settings, API endpoints, model lists, account status, and safe configuration updates.

In plain words
What is it for?
Use it to add, update, or troubleshoot OneWorks providers, models, API keys, billing details, and service configuration.
Why use it?
It helps keep model-service settings in the correct configuration location and prevents accidental exposure or overwriting of secrets.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/oneworks-ai/app/oneworks-model-services
Any agent
npx skills add oneworks-ai/app --skill oneworks-model-services
Clone the repo
git clone --depth 1 https://github.com/oneworks-ai/app

Made for: Claude Code, Codex.

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,530 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00037 $0.03530
Opus 5 $0.00018 $0.01765
Sonnet 5 $0.00007 $0.00706
Haiku 4.5 $0.00004 $0.00353

Measured 2d ago against content hash ccafa36b2283, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

oneworks-model-services scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

packages/plugins/cli-skills/skills/oneworks-model-services/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Use this skill when a user wants to add, update, or troubleshoot OneWorks modelServices.

Writeback Rules

  • Put account-level API keys and secrets in global config by default.
  • Use project or user config only when the user explicitly asks for an override.
  • Do not copy values from merged config back into a source file unless you know the target source.
  • Never show API keys, secrets, tokens, or passwords in the final answer.
  • If the selected provider is known, prefer built-in defaults for provider, homepageUrl, apiBaseUrl, models, icons, and management capabilities. Only write override fields when the user asks for an override.

Config Shape

Use modelServices.<serviceKey> with these common fields:

  • provider: built-in provider id.
  • title: display name.
  • description: short display description.
  • apiKey: service API key or secret.
  • apiBaseUrl: only needed for custom services or explicit overrides.
  • models: only needed for custom services or explicit overrides.
  • billing: optional metadata for billing kind, key kind, quota unit, quota windows, and allowed use.
  • codingPlan: optional metadata for plan links, protocol base URLs, regions, default models, and restrictions.
  • homepageUrl: only needed to override the provider portal.
  • management.enabled: enables model/balance/status/secret helper actions when available.
  • management.apiKey: optional separate management API key; otherwise reuse apiKey when supported.

Coding Plan and Token Plan Rules

Here "Coding Plan" means a provider billing/quota product, not OneWorks or agent Plan Mode.

  • Do not mix plan keys and ordinary pay-as-you-go API keys. A Coding Plan or Token Plan normally needs its dedicated key and dedicated base URL.
  • Prefer built-in plan provider ids instead of overriding ordinary API providers:
    • kimi-code: Kimi Code, OpenAI https://api.kimi.com/coding/v1, Anthropic https://api.kimi.com/coding/, model kimi-for-coding, Kimi Code API key from the Kimi Code console. Models and quota can be queried through the dedicated /coding/v1 API; do not use Moonshot/Kimi Platform PAYG balance endpoints for it.
    • minimax-token-plan: MiniMax Token Plan, OpenAI https://api.minimax.io/v1, Anthropic https://api.minimax.io/anthropic, China Anthropic https://api.minimaxi.com/anthropic, model MiniMax-M3, Subscription Key.
    • qwen-coding-plan: Alibaba Cloud Model Studio Coding Plan, OpenAI https://coding.dashscope.aliyuncs.com/v1, Anthropic https://coding.dashscope.aliyuncs.com/apps/anthropic, international OpenAI https://coding-intl.dashscope.aliyuncs.com/v1, international Anthropic https://coding-intl.dashscope.aliyuncs.com/apps/anthropic, plan key commonly sk-sp-*.
    • zhipu-coding-plan: Zhipu GLM Coding Plan, OpenAI https://open.bigmodel.cn/api/coding/paas/v4, Anthropic https://open.bigmodel.cn/api/anthropic, model GLM-5.2.
    • tencent-tokenhub-coding-plan: Tencent Cloud TokenHub Coding Plan, OpenAI https://api.lkeap.cloud.tencent.com/coding/v3, Anthropic https://api.lkeap.cloud.tencent.com/coding/anthropic.
    • volcengine-ark-coding-plan: Volcengine Ark Coding Plan, OpenAI https://ark.cn-beijing.volces.com/api/coding/v3, Anthropic https://ark.cn-beijing.volces.com/api/coding.
    • baidu-qianfan-coding-plan: Baidu Qianfan Coding Plan, OpenAI https://qianfan.baidubce.com/v2/coding, Anthropic https://qianfan.baidubce.com/anthropic/coding.
  • OpenAI Codex and Anthropic Claude Code subscriptions are product-login entitlements, not model service API keys. ChatGPT/Codex and claude login can use subscription quotas, while OpenAI/Anthropic API keys still bill as ordinary API usage.
  • Many plan quotas are request-window based, such as 5-hour, weekly, or monthly request limits. Do not describe them as ordinary token quotas unless the provider calls the product a Token Plan.
  • Many providers restrict plans to interactive coding tools and disallow backend batch jobs, automation scripts, or generic API load. Preserve billing.allowedUse: coding_tools_only and show the restriction to the user.
  • Plan model lists are catalog defaults and may not be available from /v1/models. Leave models empty to use the built-in catalog, or write models only when the user explicitly wants an allowlist override.
  • DeepSeek is currently a pay-as-you-go API provider with coding-agent integrations, not a dedicated Coding Plan provider in this registry.

Read the full file on GitHub · 105 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 105 lines · 37 tokens per session scan A ccafa36b2283

Subscribe to this mod's changes

oneworks-model-services is a skill published in the GitHub repository oneworks-ai/app (18 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 3,530 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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