CacheForge is a token optimization gateway that streamlines onboarding and operations for OpenAI-compatible agent workflows.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cacheforge
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install cacheforge using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
CacheForge serves as the foundational entrypoint for managing LLM efficiency within your development environment. It functions as an OpenAI-compatible gateway designed specifically for agent workflows, helping developers reduce wasted spend and improve performance through intelligent caching and routing. By minimizing unnecessary token consumption, it allows for more cost-effective scaling of complex AI applications.
As a central hub among Openclaw Skills, it coordinates specialized sub-skills to handle setup, billing, and telemetry dashboarding. This modular approach ensures that users can easily bootstrap their environment and immediately begin tracking savings and optimizing their upstream provider configurations, such as Anthropic or OpenRouter.
To begin using this skill, first install the primary package via your CLI:
clawhub install cacheforge
Once installed, you must bootstrap the companion Openclaw Skills to enable full functionality:
bash "{baseDir}/scripts/bootstrap-companions.sh"
If manual installation is preferred or if automated bootstrapping is unavailable, run the following command:
for s in cacheforge-setup cacheforge-ops cacheforge-stats; do clawhub install "$s"; done
CacheForge maintains a structured data hierarchy across its companion modules to ensure efficient operations:
| Component | Responsibility | Primary Interface |
|---|---|---|
| cacheforge-setup | Handles tenant provisioning and provider configuration | setup.py |
| cacheforge-ops | Manages API keys, billing top-ups, and upstream routing | ops.py |
| cacheforge-stats | Tracks usage telemetry and calculates cost savings | dashboard.py |
The system enforces a specific onboarding flow: Registration -> API Key Generation -> Upstream Configuration -> Provider Application -> Credit Top-up -> Validation.
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An automated auditing tool that identifies unreviewed AI-generated code patterns and produces a scored quality report card.

A terminal-based dashboard for monitoring CacheForge LLM usage, token savings, and performance metrics.

A streamlined onboarding tool to register, configure, and integrate CacheForge as an LLM proxy for AI agents.

A comprehensive operational toolkit for managing CacheForge account billing, credits, and upstream provider configurations.

A powerful context window optimizer designed to analyze, audit, and compress AI agent token utilization.

A high-reliability continuity kernel providing fail-open context injection, deterministic state persistence, and shadow-mode evaluation receipts.








































