Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/is-bo/fullstack-forge-skill/google-cloud-waf-performance-optimizationnpx skills add is-bo/fullstack-forge-skill --skill google-cloud-waf-performance-optimizationgit clone --depth 1 https://github.com/is-bo/fullstack-forge-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/is-bo/fullstack-forge-skill/google-cloud-waf-performance-optimization)<a href="https://agentmods.dev/skills/is-bo/fullstack-forge-skill/google-cloud-waf-performance-optimization"><img src="https://agentmods.dev/badge/skills/is-bo/fullstack-forge-skill/google-cloud-waf-performance-optimization.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00068 | $0.01395 |
| Opus 5 | $0.00034 | $0.00698 |
| Sonnet 5 | $0.00014 | $0.00279 |
| Haiku 4.5 | $0.00007 | $0.00139 |
Grade A, and why
google-cloud-waf-performance-optimization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to google-cloud-waf-performance-optimization — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Cloud Well-Architected Framework skill for the Performance Optimization pillar
Overview
The Performance Optimization pillar of the Google Cloud Well-Architected Framework provides principles and recommendations to help you design, build, and operate high-performing workloads. It focuses on efficiently allocating resources, leveraging modular architectures, and using data-driven insights to continuously monitor and improve performance as your business needs evolve.
Core principles
The recommendations in the performance optimization pillar of the Well-Architected Framework are aligned with the following core principles:
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Plan resource allocation: Carefully select and configure the compute, storage, and networking resources that best match the specific requirements of your workload. Grounding document: https://docs.cloud.google.com/architecture/framework/performance-optimization/plan-resource-allocation.md.txt
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Take advantage of elasticity: Utilize automated scaling and serverless technologies to dynamically adjust resource capacity in response to real-time demand fluctuations. Grounding document: https://docs.cloud.google.com/architecture/framework/performance-optimization/elasticity.md.txt
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Promote modular design: Architect systems using independent, loosely coupled components to enhance scalability and allow individual parts to be optimized without affecting the entire system. Grounding document: https://docs.cloud.google.com/architecture/framework/performance-optimization/promote-modular-design.md.txt
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Continuously monitor and improve performance: Implement robust observability to identify bottlenecks and use performance data to drive iterative enhancements throughout the software development lifecycle. Grounding document: https://docs.cloud.google.com/architecture/framework/performance-optimization/continuously-monitor-and-improve-performance.md.txt
Relevant Google Cloud products
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 150 lines · 68 tokens per session scan A 03e6b3e52371
google-cloud-waf-performance-optimization is a skill published in the GitHub repository is-bo/fullstack-forge-skill (2 stars, last pushed today), licensed Apache-2.0. It adds 68 tokens to every session and 1,395 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to google-cloud-waf-performance-optimization, differing in 0 lines, and is treated as a copy.
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