ZeroAPI is a high-performance routing skill that delegates tasks to the optimal AI model across multiple subscriptions via the OpenClaw gateway.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install zeroapi
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install zeroapi using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is ZeroAPI?
ZeroAPI is a sophisticated routing and delegation engine designed to maximize the utility of your AI subscriptions. By acting as a traffic controller within the Openclaw Skills ecosystem, it analyzes the intent and technical requirements of every prompt to select the most capable model for the job. Whether you are dealing with massive context windows in Gemini or complex mathematical proofs in GPT-5.3 Codex, this skill ensures you are always using the right tool for the task.
This skill eliminates the manual overhead of switching between interfaces. It leverages the OpenClaw gateway to bridge various providers, allowing for seamless transitions between reasoning, coding, and research-heavy workflows. By using ZeroAPI, developers can ensure peak performance while maintaining context continuity and operational efficiency.
ZeroAPI Use Cases
- Routing massive codebases or long PDF documents to Gemini for high-context analysis.
- Delegating complex Python implementation and refactoring tasks to GPT-5.3 Codex.
- Utilizing Claude Opus for high-stakes reasoning, architecture design, and security audits.
- Orchestrating multi-agent pipelines where specialized models collaborate on a single project.
- Automating fallback procedures when primary AI providers experience downtime or rate limits.
How ZeroAPI Works
- The skill identifies active subscriptions (Claude, ChatGPT, Gemini, Kimi) and maps them to performance tiers like SIMPLE, CODE, or DEEP.
- Incoming tasks are evaluated through a 9-step decision algorithm that prioritizes signals such as token count, task type, and required intelligence.
- ZeroAPI checks for security constraints or explicit user instructions to ensure sensitive data remains on the primary agent.
- Tasks are dispatched to sub-agents using the OpenClaw agent system via the /agent command structure.
- The skill manages the lifecycle of the request, including error handling, multi-step retries, and cross-provider fallbacks to ensure task completion.
ZeroAPI Setup
To get started with ZeroAPI within your Openclaw Skills environment, ensure you are running OpenClaw 2026.2.6+.
- Initialize the skill and provide your active AI subscription details (Claude Max, ChatGPT Pro, etc.) when prompted.
- Verify that your models are correctly authenticated and reachable by running:
openclaw models status
- Ensure your openclaw.json configuration includes the necessary provider credentials as outlined in the provider-config documentation.
ZeroAPI Data Schema & Taxonomy
ZeroAPI organizes routing logic and performance data using structured metadata and reference tables:
| Data Type | Description |
|---|---|
| Model Tiers | Classified by speed, intelligence, and context (SIMPLE to ORCHESTRATE). |
| Benchmarks | Real-time performance metrics for GPQA, SWE-bench, and TAU-2 stored in benchmarks.json. |
| Fallback Chains | Multi-provider logic sequences used when primary models are unavailable. |
| Sub-Agent Context | Text-based context summaries passed to isolated sub-agent workspaces. |
ZeroAPI Advanced Features
- Multi-agent orchestration patterns using Kimi K2.5 for complex dependency graphs.
- Adversarial review workflows where one model generates code and another performs a security audit.
- Context-aware re-routing that summarizes conversation history for sub-agent continuity.
- Cross-provider reliability chains that prevent total workflow failure during single-provider outages.
- Dynamic benchmark-driven selection based on the latest Artificial Analysis API data.
SKILL.md
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