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/TheLobbi/claudeWrote 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/thelobbi/claude/optimize-code)<a href="https://agentmods.dev/commands/thelobbi/claude/optimize-code"><img src="https://agentmods.dev/badge/commands/thelobbi/claude/optimize-code.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 | $0.00000 | $0.00348 |
| Opus 5 | $0.00000 | $0.00174 |
| Sonnet 5 | $0.00000 | $0.00070 |
| Haiku 4.5 | $0.00000 | $0.00035 |
Grade A, and why
optimize-code 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 2d 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
Analyze and optimize code for performance, efficiency, and scalability:
Performance Analysis
-
Algorithm Complexity
- Identify O(n²) or worse time complexity
- Suggest more efficient algorithms
- Review recursive vs iterative approaches
- Optimize sorting and searching operations
-
Memory Usage
- Identify memory leaks
- Check for unnecessary object creation
- Review data structure choices
- Optimize large data handling
-
Database Optimization
- Review query efficiency (N+1 queries)
- Check for missing indexes
- Optimize JOIN operations
- Review connection pooling
-
Network & I/O
- Identify blocking operations
- Review async/await usage
- Check for unnecessary API calls
- Optimize file I/O operations
-
Rendering Performance (Frontend)
- Review re-render triggers
- Check for unnecessary component updates
- Optimize list rendering (virtualization)
- Review bundle size and code splitting
Optimization Strategies
- Caching (memoization, HTTP caching, database caching)
- Lazy loading and code splitting
- Debouncing and throttling
- Batch operations
- Parallel processing where applicable
- Resource pooling (connections, threads)
Output Format
For each optimization opportunity:
- Location: File and line number
- Current Issue: What's inefficient
- Impact: Performance cost (time/memory)
- Optimization: Specific improvement
- Expected Gain: Estimated performance improvement
- Trade-offs: Any complexity or maintainability costs
Prioritize optimizations by potential impact vs implementation 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.
- 2d ago First seen · 54 lines · 0 tokens per session scan A a0d9ea884f71
optimize-code is a command published in the GitHub repository TheLobbi/claude (21 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 348 tokens. 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 2026-09-05.
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