Borrowing it
Nothing to install: this file belongs to fadwen/Powershell-Copilot-Standards. 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/fadwen/Powershell-Copilot-Standards/main/.github/prompts/optimize-performance.prompt.mdgit clone --depth 1 https://github.com/fadwen/Powershell-Copilot-StandardsWrote 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/commands/fadwen/powershell-copilot-standards/optimize-performance)<a href="https://agentmods.dev/commands/fadwen/powershell-copilot-standards/optimize-performance"><img src="https://agentmods.dev/badge/commands/fadwen/powershell-copilot-standards/optimize-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/commands/fadwen/powershell-copilot-standards/optimize-performance"><img src="https://agentmods.dev/badge/commands/fadwen/powershell-copilot-standards/optimize-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 | $0.00007 | $0.00401 |
| Opus 5.5 | $0.00003 | $0.00160 |
| Sonnet 5.5 | $0.00001 | $0.00080 |
| Haiku 4.5 | $0.00001 | $0.00040 |
Grade A, and why
optimize-performance 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
Analyze and optimize this PowerShell code from ${fileBasename} in the ${workspaceFolderBasename} project:
Performance Context:
- Dataset Size: ${input:datasetSize:Small (<100 items),Medium (100-1000 items),Large (1000+ items)}
- Performance Target: ${input:performanceTarget:Execution time,Memory usage,Throughput,All}
- Current Environment: ${input:environment:PowerShell 7.6,Windows PowerShell 5.1,Cross-platform}
- Criticality: ${input:criticality:Development,Production,Mission-critical}
Selected Code:
${selection}
Optimization Analysis:
- Memory Usage: Resource disposal, StringBuilder usage, collection handling
- Pipeline Efficiency: Pipeline vs. foreach loops for dataset size: ${input:datasetSize}
- String Operations: Concatenation methods and efficiency
- Algorithm Complexity: Identify O(n²) operations, inefficient filtering and searching, redundant work, and poor data structure choices
- Resource Management: COM objects, file handles, database connections, network call batching
- Parallel Processing:
ForEach-Object -Parallelopportunities (PowerShell 7.4+; 7.6 is the current LTS - 7.0 through 7.3 are retired)
Deliverables:
- Before/after code examples with performance impact estimates
- Memory usage improvements for ${input:datasetSize} datasets
- Scalability recommendations for ${input:criticality} environments
- Benchmarking code for validation
- Reference to .\Troubleshooting\Performance\ documentation
Focus on ${input:performanceTarget} optimization with measurable improvements.
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 · 42 lines · 7 tokens per session scan A 01a70521147f
optimize-performance is a command published in the GitHub repository fadwen/Powershell-Copilot-Standards (19 stars, last pushed 1mo ago), licensed MIT. It adds 7 tokens to every session and 401 once invoked, about $0.0000 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 2026-09-16.
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