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.
git clone --depth 1 https://github.com/cassler/awesome-claude-code-setupWrote 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/cassler/awesome-claude-code-setup/performance-check)<a href="https://agentmods.dev/commands/cassler/awesome-claude-code-setup/performance-check"><img src="https://agentmods.dev/badge/commands/cassler/awesome-claude-code-setup/performance-check/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/cassler/awesome-claude-code-setup/performance-check"><img src="https://agentmods.dev/badge/commands/cassler/awesome-claude-code-setup/performance-check.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 | $0.00000 | $0.00562 |
| Opus 5.5 | $0.00000 | $0.00225 |
| Sonnet 5.5 | $0.00000 | $0.00112 |
| Haiku 4.5 | $0.00000 | $0.00056 |
Grade A, and why
performance-check scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
chs find-code "readFileSync\|execSync\|statSync" How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Check
Please analyze this codebase for performance issues and optimization opportunities:
1. File Size Analysis
Check for files that might be too large:
# Find large files
chs large-files 500 # Files over 500 lines
# Check overall codebase size
ch ts size # For Node projects
find . -name "*.js" -o -name "*.ts" | xargs wc -l | sort -n
2. Common Performance Anti-Patterns
Search for potential bottlenecks:
# Nested loops
chs find-code "for.*for\|while.*while"
chs find-code "\.forEach.*\.forEach\|\.map.*\.map"
# Synchronous operations
chs find-code "readFileSync\|execSync\|statSync"
# Inefficient array operations
chs find-code "\.shift()\|\.unshift()"
# Large data in memory
chs find-code "JSON\.parse.*readFile\|\.split.*readFile"
3. Bundle & Import Analysis
Check for heavy dependencies:
# Find large imports
chs search-imports "moment\|lodash"
# Check for whole package imports
chs find-code "import .* from ['\"]\w+['\"]" # vs specific imports
# Find dynamic imports
chs find-code "import(\|require("
4. Async/Promise Issues
Look for async problems:
# Missing await
chs find-code "async.*{" | xargs grep -L "await"
# Promise chains that could be async/await
chs find-code "\.then.*\.then\|\.catch.*\.then"
# Potential race conditions
chs find-code "Promise\.all\|Promise\.race"
5. Memory Leak Risks
Identify potential memory issues:
# Event listeners without cleanup
chs find-code "addEventListener" | xargs grep -L "removeEventListener"
# Timers without cleanup
chs find-code "setInterval\|setTimeout" | xargs grep -L "clear"
# Global variables
chs find-code "^(var\|let\|const).*window\.\|global\."
6. Generate Optimization Report
Create a prioritized list of:
- Critical: Issues causing immediate performance problems
- High: Significant optimization opportunities
- Medium: Good practices that would help
- Low: Nice-to-have improvements
For each issue, provide:
- The problem and its impact
- Specific code locations
- Recommended solution
- Estimated effort
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 · 85 lines · 0 tokens per session scan A 7f58ed06eceb
performance-check is a command published in the GitHub repository cassler/awesome-claude-code-setup (268 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 562 tokens. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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