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Install in OpenClaw
/install openrouter-paid-fallback
Description
Set OpenClaw to use a paid OpenRouter model first and fall back to free models when quota is exhausted or rate-limited. Use when the user wants a paid OpenRo...
Usage Guidance
This skill appears to do only model-routing edits, which is reasonable, but it mentions keeping an OpenRouter API key while the manifest doesn't declare any required credentials. Before installing: (1) confirm which secret the skill needs (e.g., OPENROUTER_API_KEY) and where it will be stored; (2) ensure the key is stored in a secure agent secret store rather than hard-coded into config files; (3) back up your agent/gateway config before applying changes; (4) run the changes in a non-production environment first and verify the skill edits only the model-routing keys it promises. If the publisher cannot clarify the missing credential declaration, treat the omission as suspicious and avoid installing until resolved.
Capability Analysis
Type: OpenClaw Skill
Name: openrouter-paid-fallback
Version: 1.0.0
The skill bundle provides instructions for an AI agent to configure model routing in OpenClaw, specifically setting a primary paid OpenRouter model and a list of free fallbacks. The instructions in SKILL.md are limited to configuration management and service status verification, with no evidence of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
The skill's stated purpose (prefer paid OpenRouter model with free fallbacks) matches the steps to edit model-routing keys, but the SKILL.md explicitly says to "Keep the OpenRouter API key present in config" while the registry metadata lists no required environment variables or primary credential. That mismatch is unexplained.
Instruction Scope
Instructions are limited to editing model-routing keys, preserving unrelated config, restarting the gateway, and validating status. They do not ask the agent to read unrelated files or exfiltrate data beyond the OpenRouter API key mentioned.
Install Mechanism
This is an instruction-only skill with no install spec or code to write to disk, which is appropriate and low-risk for a configuration change task.
Credentials
The runtime instructions require an OpenRouter API key to be present in configuration, but the skill manifest does not declare any required environment variables or primary credential. The skill should explicitly declare which secret (e.g., OPENROUTER_API_KEY) it needs and why; absence of that declaration is a proportionality/information gap.
Persistence & Privilege
The skill does not request always:true and is user-invocable only. Its scope is limited to editing model-routing keys in agent config; no indication it attempts to modify other skills or system-wide settings beyond restarting the gateway.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install openrouter-paid-fallback - After installation, invoke the skill by name or use
/openrouter-paid-fallback - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: paid OpenRouter primary with free fallback
Metadata
Frequently Asked Questions
What is OpenRouter Paid Fallback?
Set OpenClaw to use a paid OpenRouter model first and fall back to free models when quota is exhausted or rate-limited. Use when the user wants a paid OpenRo... It is an AI Agent Skill for Claude Code / OpenClaw, with 108 downloads so far.
How do I install OpenRouter Paid Fallback?
Run "/install openrouter-paid-fallback" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is OpenRouter Paid Fallback free?
Yes, OpenRouter Paid Fallback is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does OpenRouter Paid Fallback support?
OpenRouter Paid Fallback is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created OpenRouter Paid Fallback?
It is built and maintained by Ceasr Hu (@h452624729); the current version is v1.0.0.
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