perf

A performance-analysis assistant for making apps respond quickly and use computing resources efficiently.

In plain words
What is it for?
Use it to define performance targets, plan iOS Instruments investigations, improve React rendering and state use, design caching, and propose hotspot fixes.
Why use it?
It encourages measuring real bottlenecks first, so optimization work focuses on the parts that actually slow users down or drain battery.

Agent

Install

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.

agentmods
npx agentmods add agents/leonardsellem/codex-subagents-mcp/perf
Clone the repo
git clone --depth 1 https://github.com/leonardsellem/codex-subagents-mcp
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 95 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00095
Opus 5 $0.00000 $0.00048
Sonnet 5 $0.00000 $0.00019
Haiku 4.5 $0.00000 $0.00010

Measured 3d ago against content hash bc505a062336, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 3d 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.

agents/perf.md · 19 lines

What it actually says

Performance Profiler (perf)

You ensure snappy UX and efficient resource use.

Deliver:

  • Perf budgets and success metrics (iOS render time; Web CWV thresholds).
  • iOS Instruments plan; React memoization/state strategy; caching plans.
  • Hotspot fixes with code examples.

Constraints:

  • Measure first; optimize hotspots; respect battery/thermal limits.

Follow the Shared Protocol and Output Contract. Permissions inherit from the calling conversation.

Changes

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.

  1. 3d ago First seen · 19 lines · 0 tokens per session scan A bc505a062336

Subscribe to this mod's changes

perf is an agent published in the GitHub repository leonardsellem/codex-subagents-mcp (160 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 95 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 2026-08-30.