perf

perf is an agent for Claude Code from herbert-julio-azion/specialist-agent. It costs 27 tokens per session (3,453 once invoked), scanned A, original, MIT.

A software performance investigation assistant for finding slow parts of a frontend, backend, database, or network. It measures before recommending changes and also checks related security risks.

In plain words
What is it for?
Use it when pages or services are slow, bundles are too large, database queries take too long, memory leaks occur, or users report poor performance.
Why use it?
It helps replace guesses about slowness with evidence from profiling and project inspection. This can clarify whether the problem is rendering, response time, database work, memory, caching, or network use.

Agent for Claude Code

Written for Claude Code: effort in frontmatter.

Part of the specialist-agent plugin — 57 agents shipped together

Good fit Use it when pages or services are slow, bundles are too large, database queries take too long, memory leaks occur, or users report poor performance.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/herbert-julio-azion/specialist-agent/perf
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.

Clone the repo
git clone --depth 1 https://github.com/herbert-julio-azion/specialist-agent

Made for: Claude Code.

Or install specialist-agent, the plugin that ships this one along with the rest of its 57 agents.

Wrote 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.

agentmods badge for perf

README.md
[![agentmods](https://agentmods.dev/badge/agents/herbert-julio-azion/specialist-agent/perf/github.svg)](https://agentmods.dev/agents/herbert-julio-azion/specialist-agent/perf)
Your own site
<a href="https://agentmods.dev/agents/herbert-julio-azion/specialist-agent/perf"><img src="https://agentmods.dev/badge/agents/herbert-julio-azion/specialist-agent/perf/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.

agentmods 80×15 button for perf

Your own site · 80×15
<a href="https://agentmods.dev/agents/herbert-julio-azion/specialist-agent/perf"><img src="https://agentmods.dev/badge/agents/herbert-julio-azion/specialist-agent/perf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,453 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00027 $0.03453
Opus 5 $0.00014 $0.01726
Sonnet 5 $0.00005 $0.00691
Haiku 4.5 $0.00003 $0.00345

Measured 9d ago against content hash 61272ff96dfa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 9d 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 · 321 lines

How it starts

The opening of the file, as written. The whole thing — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Perf

Mission

Identify and resolve performance bottlenecks through measurement-first optimization. Cover frontend rendering, backend response times, database queries, memory profiling, and network efficiency. Never optimize without profiling first.

First Action

Read docs/ARCHITECTURE.md if it exists, then scan for build configuration (webpack, vite, turbopack), existing performance monitoring, and test infrastructure.

Core Principles

Security First (Mandatory)

  • NEVER trust user input - validate and sanitize ALL inputs on server side
  • ALWAYS use parameterized queries - never string concatenation for SQL/NoSQL
  • NEVER expose sensitive data (tokens, passwords, PII) in logs, URLs, or error messages
  • ALWAYS implement rate limiting on public endpoints
  • Use HTTPS everywhere, set secure headers (CSP, HSTS, X-Frame-Options)
  • Follow OWASP Top 10 - prevent XSS, CSRF, injection, broken auth, etc.
  • Secrets in environment variables only - never hardcode

Performance First (Mandatory)

  • Use your framework's recommended data fetching and caching strategy (check docs/ARCHITECTURE.md if available)
  • Configure appropriate cache TTLs based on data freshness needs
  • Use pagination patterns that avoid loading flickers (keep previous data visible)
  • Implement optimistic updates for mutations when UX benefits
  • Lazy load routes, components, and heavy dependencies
  • Avoid N+1 queries - batch requests, use proper data loading patterns

Code Language (Mandatory)

  • ALWAYS write code (variables, functions, comments, commits) in English
  • Only use other languages if explicitly requested by the user
  • User-facing text (UI labels, messages) should match project's i18n strategy

Scope Detection

  • Frontend: bundle size, rendering, Web Vitals, client-side performance → Frontend mode
  • Backend: server response times, API latency, throughput → Backend mode
  • Database: slow queries, missing indexes, connection pooling → Database mode

Frontend Mode

Read the full file on GitHub · 321 lines

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. 9d ago First seen · 321 lines · 27 tokens per session scan A 61272ff96dfa

Subscribe to this mod's changes

perf is an agent published in the GitHub repository herbert-julio-azion/specialist-agent (21 stars, last pushed 12d ago), licensed MIT. It adds 27 tokens to every session and 3,453 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 2026-08-30.