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.
npx agentmods add commands/agricidaniel/claude-code-essentials-vs-code/optimizegit clone --depth 1 https://github.com/AgriciDaniel/claude-code-essentials-vs-codeWhat 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 | $0.00003 | $0.00101 |
| Opus 5 | $0.00002 | $0.00051 |
| Sonnet 5 | $0.00001 | $0.00020 |
| Haiku 4.5 | $0.00000 | $0.00010 |
Grade A, and why
optimize 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
Optimize performance for: $ARGUMENTS
Analyze:
- Time complexity of algorithms
- Database query efficiency (N+1 problems, missing indexes)
- Memory usage patterns
- Bundle size impact (if frontend)
- Render performance and re-renders
- Caching opportunities
- Unnecessary computations
- Network request optimization
Provide before/after comparisons with benchmarks where possible. Prioritize optimizations by impact vs 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 · 18 lines · 3 tokens per session scan A a0ac430ec303
optimize is a command published in the GitHub repository AgriciDaniel/claude-code-essentials-vs-code (57 stars, last pushed 4mo ago), licensed MIT. It adds 3 tokens to every session and 101 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.
Other commands, from other repositories
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ace:execute-plan
Execute current PLAN.md with parallel Team Leads.
ace:validate-zones
Check for zone conflicts in project-types.json.
ace:consider-issues
Review deferred issues for potential inclusion.
ace:validate-plan
Verify PLAN.md structure before execution.
ace:recover-execution
Resume from mid-plan execution failures.