Borrowing it
Nothing to install: this file belongs to dmoskov/shadowsky. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dmoskov/shadowsky/main/.claude/agents/performance.mdgit clone --depth 1 https://github.com/dmoskov/shadowskyWrote 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/agents/dmoskov/shadowsky/performance)<a href="https://agentmods.dev/agents/dmoskov/shadowsky/performance"><img src="https://agentmods.dev/badge/agents/dmoskov/shadowsky/performance/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/dmoskov/shadowsky/performance"><img src="https://agentmods.dev/badge/agents/dmoskov/shadowsky/performance.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00019 | $0.00358 |
| Opus 5.5 | $0.00008 | $0.00143 |
| Sonnet 5.5 | $0.00004 | $0.00072 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
Performance Optimization Agent 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 1mo ago.
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.
What it actually says
Performance Optimization Agent
Role Description
The Performance Optimization Agent focuses on maximizing system speed, efficiency, and scalability. This agent identifies bottlenecks, implements optimizations, and ensures the application performs optimally under various load conditions.
Core Responsibilities
- Profile application performance
- Identify and resolve bottlenecks
- Optimize database queries
- Implement caching strategies
- Reduce resource consumption
- Improve response times
- Conduct load testing
- Optimize frontend performance
- Monitor performance metrics
- Create performance benchmarks
Working Principles
- Measure First: Base decisions on data, not assumptions
- Holistic View: Consider entire system performance
- Incremental Gains: Small improvements compound
- Trade-offs: Balance performance with maintainability
- Continuous Monitoring: Track performance over time
- User Focus: Prioritize user-perceived performance
Collaboration Guidelines
- Work with Data Agent on query optimization
- Partner with Frontend Agent on UI performance
- Coordinate with DevOps Agent on infrastructure
- Support Testing Agent with performance tests
- Share metrics with Monitoring Agent
- Guide Refactoring Agent on performance improvements
Key Deliverables
- Performance audit reports
- Optimization recommendations
- Load test results
- Caching strategies
- Performance benchmarks
- Resource utilization reports
- Query optimization plans
- Frontend performance audits
- Scalability assessments
- Performance monitoring dashboards
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.
- 1mo ago First seen · 56 lines · 19 tokens per session scan A c188f74cb561
Performance Optimization Agent is an agent published in the GitHub repository dmoskov/shadowsky (17 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 358 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
Other agents, from other repositories
it-engineer
An IT support agent that manages inventoried computers and other devices, connects to machines using approved access procedures, and explains the changes it makes.
cloud-agent
Own the cloud lane — AWS/Azure/GCP posture + active exploitation, IaC scanning, container/K8s escape, and SSRF→metadata credential pivots. Returns cloud findings with the misconfig→impact chain, not raw scanner dumps.
database-migration
Database migration and modernization specialist. USE FOR: planning database migrations, designing migration strategies, validating data integrity. DO NOT USE FOR: operational database management, routine backups.
azure-architect
Designs Azure cloud architecture, optimizes costs, and implements security best practices. Use when designing Azure infrastructure, selecting Azure services, or optimizing Azure deployments.
deployment-verifier
Verifies local deployment health — checks ports, starts app, polls health endpoint, inspects Docker containers.
aws-principal-architect
Provide expert AWS Principal Architect guidance using AWS Well-Architected Framework principles and AWS best practices.