Borrowing it
Nothing to install: this file belongs to GGPrompts/TFE. 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/GGPrompts/TFE/main/.claude/commands/analyze-tfe-perf.mdgit clone --depth 1 https://github.com/GGPrompts/TFEWrote 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/ggprompts/tfe/analyze-tfe-perf)<a href="https://agentmods.dev/commands/ggprompts/tfe/analyze-tfe-perf"><img src="https://agentmods.dev/badge/commands/ggprompts/tfe/analyze-tfe-perf/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/ggprompts/tfe/analyze-tfe-perf"><img src="https://agentmods.dev/badge/commands/ggprompts/tfe/analyze-tfe-perf.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 | $0.00008 | $0.00467 |
| Opus 5 | $0.00004 | $0.00234 |
| Sonnet 5 | $0.00002 | $0.00093 |
| Haiku 4.5 | $0.00001 | $0.00047 |
Grade A, and why
analyze-tfe-perf 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 9d 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 TFE Performance
You are analyzing the performance of TFE to identify bottlenecks and optimization opportunities.
Your Task
Use Desktop Commander and analysis tools to:
-
Profile the codebase
- Search for potential performance issues:
- Unnecessary file reads in loops
- Inefficient string operations
- Missing caching
- Redundant calculations
- Search for potential performance issues:
-
Analyze specific modules
file_operations.go: File loading efficiencyrender_*.go: Rendering performanceupdate_*.go: Event handling efficiencyhelpers.go: Utility function optimization
-
Look for common issues
- O(n²) operations
- Repeated file I/O
- Unnecessary allocations
- Missing early returns
- Inefficient string concatenation
-
Run benchmarks (if they exist)
- Execute
go test -bench=. - Analyze benchmark results
- Compare with previous runs
- Execute
-
Memory profiling
- Look for potential memory leaks
- Check for large allocations
- Identify unnecessary copies
-
Suggest optimizations
- Prioritize by impact (high/medium/low)
- Provide code examples for fixes
- Estimate performance improvement
- List any trade-offs
Report Format
🔍 TFE Performance Analysis
📊 High Priority Issues:
1. loadFiles() reads directory twice - file_operations.go:123
• Impact: 2x slower directory loading
• Fix: Cache results in model
• Estimated improvement: 50% faster
2. renderPreview() rebuilds styles every frame - render_preview.go:89
• Impact: Unnecessary CPU usage
• Fix: Move styles to global constants
• Estimated improvement: 20% faster rendering
📊 Medium Priority Issues:
...
💡 Quick Wins:
- Add early return in getCurrentFile() if cursor out of bounds
- Cache getFileIcon() results
- Use strings.Builder instead of += in formatFileSize()
Start the performance analysis now and provide a detailed report.
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.
- 9d ago First seen · 75 lines · 8 tokens per session scan A 880d112105d4
analyze-tfe-perf is a command published in the GitHub repository GGPrompts/TFE (20 stars, last pushed 3mo ago), licensed MIT. It adds 8 tokens to every session and 467 once invoked, about $0.0000 per session on Opus 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 2026-08-30.
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