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Install in OpenClaw
/install token-cost-optimization
Description
Token savings and API cost optimization. Provides token calculator, three-tier optimization strategies (prompt compression / cache reuse / model downgrade),...
Usage Guidance
This skill appears coherent and safe as provided: it runs a local Python calculator and supplies best-practice guidance. Before using it in production, consider: (1) If you implement L2 caching or L3 model routing, you'll need external services (vector DBs, OpenAI/Anthropic APIs) and corresponding credentials—supply and store those securely. (2) Be cautious about caching user data or documents (set TTLs, avoid persisting PII unless necessary). (3) Validate the model pricing and savings assumptions against your actual provider invoices. (4) Review any code you add for network calls or credential handling—those are the primary places risk would appear.
Capability Analysis
Type: OpenClaw Skill
Name: token-cost-optimization
Version: 1.0.0
The skill bundle provides legitimate tools and documentation for LLM token cost optimization. It includes a Python script (scripts/token_calculator.py) for calculating potential savings based on user-provided metrics and detailed markdown guides (SKILL.md, references/tier-strategies.md) outlining prompt compression and model routing strategies. No malicious code, data exfiltration, or suspicious instructions were identified.
Capability Assessment
Purpose & Capability
Name/description, the included token_calculator.py, and the tier-strategies reference all align: they provide a local cost calculator and implementation guidance for prompt compression, caching, and model routing.
Instruction Scope
SKILL.md confines runtime actions to running the local calculator and reading the bundled guidance. The documentation recommends caching in a vector DB and model routing (which in practice requires external services), but the skill does not itself include code that reads unrelated system files, contacts remote endpoints, or exfiltrates data.
Install Mechanism
Instruction-only skill with a small local Python script; there is no install spec, no downloads, and nothing is written to disk by the installer. Low install risk.
Credentials
The skill declares no environment variables or credentials (appropriate for the provided local calculator). However, the L2/L3 guidance discusses vector DBs and routing to external models (OpenAI/Claude), which in real deployments would require API keys/credentials that are not declared here—this is an implementation detail rather than an immediate inconsistency, but users should be aware.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request permanent presence, nor does it modify other skills or system-wide settings in the provided materials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install token-cost-optimization - After installation, invoke the skill by name or use
/token-cost-optimization - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of token-cost-optimization skill.
- Provides a token calculator script for quick estimation of API usage and potential savings.
- Outlines a three-tiered token optimization strategy: prompt compression, conversation summary caching, and model downgrade/task routing.
- Includes step-by-step phased implementation guides and best practices for each optimization tier.
- Offers quantified cost analysis examples and detailed configuration references for each strategy.
Metadata
Frequently Asked Questions
What is Token Cost Optimization?
Token savings and API cost optimization. Provides token calculator, three-tier optimization strategies (prompt compression / cache reuse / model downgrade),... It is an AI Agent Skill for Claude Code / OpenClaw, with 104 downloads so far.
How do I install Token Cost Optimization?
Run "/install token-cost-optimization" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Token Cost Optimization free?
Yes, Token Cost Optimization is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Token Cost Optimization support?
Token Cost Optimization is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Token Cost Optimization?
It is built and maintained by OpenLark (@openlark); the current version is v1.0.0.
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