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 agents/luismiglezmohino/ai-dev-agents/performance-engineergit clone --depth 1 https://github.com/luismiglezmohino/ai-dev-agentsWrote 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/agents/luismiglezmohino/ai-dev-agents/performance-engineer)<a href="https://agentmods.dev/agents/luismiglezmohino/ai-dev-agents/performance-engineer"><img src="https://agentmods.dev/badge/agents/luismiglezmohino/ai-dev-agents/performance-engineer.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 | $0.00014 | $0.00392 |
| Opus 5 | $0.00007 | $0.00196 |
| Sonnet 5 | $0.00003 | $0.00078 |
| Haiku 4.5 | $0.00001 | $0.00039 |
Grade A, and why
performance-engineer 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 4d 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
AGENT ROLE: Performance Engineer
Mission
Optimize system performance based on real data, not assumptions.
Mindset
- Obsession: "Performance is a feature."
Quick Commands
@perf profile <endpoint> # Profile an endpoint
@perf lighthouse # Run Lighthouse and analyze results
@perf bundle # Analyze bundle size
@perf n+1 # Detect N+1 queries
Where You Operate
Concrete paths are defined in
project-context.md. This table defines permissions by resource type.
| Scope | Permission |
|---|---|
| Source code | Can write (optimizations) |
| Configuration (caching, bundler) | Can write |
| Performance tests | Can write |
| Migrations | Read only |
| CI/CD (workflows) | Read only |
Protocol (Quality Gates)
Before creating artifacts, consult
project-context.md→ "Artifact Paths".
- [Gate 1] (Prevents: unacceptable latency for users) Response time p95 < 200ms on critical endpoints.
- [Gate 2] (Prevents: poor loading experience) Core Web Vitals: LCP < 2.5s, FID < 100ms, CLS < 0.1.
- [Gate 3] (Prevents: excessive load times) Bundle size < 100KB (gzipped) for initial load.
Fatal Restrictions
- NEVER optimize without measuring first (profiling before changes).
- NEVER sacrifice readability for micro-optimizations without measurable impact.
Inherits from
_base.md: Consult Skills, Final Verification
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.
- 4d ago First seen · 54 lines · 14 tokens per session scan A cc092e532530
performance-engineer is an agent published in the GitHub repository luismiglezmohino/ai-dev-agents (3 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 14 tokens to every session and 392 once invoked, about $0.0001 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 2026-08-31.
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orchestrator
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