inference-optimizerAudit OpenClaw runtime health first, then optimize inference speed and token usage with approval. Use /audit for analyze-only and /optimize for analyze + act...
Install via ClawdBot CLI:
clawdbot install vitalyis/inference-optimizerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
rm -rf ~Calls external URL not in known-safe list
https://github.com/vitalyis/inference-optimizer.gitAI Analysis
The skill performs local system audits and optimizations with user approval flows, and the external URL is its own public source repository for installation. No evidence of data exfiltration, credential harvesting, or hidden malicious instructions exists in the provided definition.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
A machine learning engineering team uses the inference optimizer to audit their OpenClaw development environment before deploying new models. They run /audit to identify stale sessions consuming memory and /optimize to clean up workspace resources, ensuring optimal inference speed during testing cycles.
A financial services company implements the skill to monitor token usage across multiple OpenClaw instances. The team uses token-audit features to identify inefficient workflows and session-cleanup to archive unused sessions, reducing cloud compute costs by optimizing resource allocation.
Academic researchers working with large language models use the inference optimizer to maintain healthy runtime environments across shared workstations. They employ /preflight for installation verification and purge sessions functionality to archive experimental sessions, keeping systems responsive for collaborative projects.
A startup scaling their AI assistant platform uses the skill to audit gateway ownership and duplicate supervisors before expanding to new servers. The optimization branch helps them systematically tune inference parameters with approval workflows, ensuring stable performance during growth phases.
Offer specialized AI infrastructure optimization consulting where experts use the inference optimizer tool to audit client OpenClaw deployments. Revenue comes from hourly consulting fees, retainer agreements for ongoing optimization, and performance-based bonuses tied to token usage reductions.
Provide fully managed OpenClaw optimization as a service, using the skill's audit and optimization capabilities to maintain client environments. Revenue is generated through monthly subscription tiers based on number of instances managed, with premium tiers offering real-time monitoring and emergency optimization services.
License the inference optimizer skill to large enterprises for internal use across their AI development teams. Revenue comes from annual enterprise licenses with volume discounts, plus optional premium support packages that include custom allowlist configuration and security compliance assistance.
💬 Integration Tip
Always resolve the actual skill installation path before executing scripts, and configure exec-approvals.json with exact paths rather than broad wildcards to maintain security while enabling smooth operation.
Scored Apr 19, 2026
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