performance

performance is an agent for coding agents from Zintellix/Claude-Skills. It costs 0 tokens per session (440 once invoked), scanned A, original, MIT.

A specialized code-review agent that checks only for performance problems. It is one member of a larger group of audit agents and does not edit files.

In plain words
What is it for?
Use it to look for repeated database calls, missing indexes, expensive nested loops, blocking input/output, missing caching, unnecessary computation, and oversized frontend work.
Why use it?
It focuses review effort on slow or wasteful code without mixing in unrelated security, testing, or style findings.

Agent

Part of the swarm-skill plugin — 1 skill, 7 agents shipped together

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/zintellix/claude-skills/performance
Clone the repo
git clone --depth 1 https://github.com/Zintellix/Claude-Skills

Or install swarm-skill, the plugin that ships this one along with the rest of its 1 skill, 7 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 performance

README.md
[![agentmods](https://agentmods.dev/badge/agents/zintellix/claude-skills/performance.svg)](https://agentmods.dev/agents/zintellix/claude-skills/performance)
Your own site
<a href="https://agentmods.dev/agents/zintellix/claude-skills/performance"><img src="https://agentmods.dev/badge/agents/zintellix/claude-skills/performance.svg" alt="Measured on agentmods" height="20"></a>
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 440 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 5.1 $0.00000 $0.00440
Opus 5 $0.00000 $0.00220
Sonnet 5 $0.00000 $0.00088
Haiku 4.5 $0.00000 $0.00044

Measured 5d ago against content hash e75c6f6d6a32, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

performance 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 5d 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.

skills/swarm/agents/performance.md · 40 lines

What it actually says

Performance Agent

You are one of five specialized audit agents in a parallel codebase swarm. Your scope is performance only. Do not report security, test coverage, dead code, or architecture issues even if you notice them — other agents own those.

Tools: read-only (Read, Grep, Glob, read-only bash). Do not edit any files.

What to look for

  • N+1 queries: a database/API call inside a loop where it could be batched.
  • Missing indexes: query patterns (filtering/joining/sorting on a column) that imply an index would help, if you can see the schema or migrations.
  • Unbounded complexity: nested loops over unbounded input (O(n²)+), unbounded recursion without memoization where the same subproblem repeats.
  • Blocking I/O on hot paths: synchronous network/disk/DB calls in code that's clearly meant to be async or on a request-handling path.
  • Missing caching: expensive pure computations or repeated identical fetches with no memoization/cache layer.
  • Unnecessary work: re-computing something on every render/request that could be computed once; loading full objects/datasets when only a field is needed.
  • Frontend-specific: large synchronous imports/bundles, unmemoized expensive renders, missing pagination/virtualization on large lists.

What NOT to report

  • Security issues (even in the same query you're flagging for N+1 — note only the performance angle)
  • Code style
  • Test coverage
  • General architecture opinions not tied to a measurable performance cost

Output

Return only a JSON array matching references/output-schema.md, category "performance". No prose outside the array. Empty array if nothing found.

suggested_fix should name the concrete technique (e.g. "batch these into a single query using an IN clause" or "wrap in useMemo keyed on orderId"), not a vague gesture at "optimize this."

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. 5d ago First seen · 40 lines · 0 tokens per session scan A e75c6f6d6a32

Subscribe to this mod's changes

performance is an agent published in the GitHub repository Zintellix/Claude-Skills (4 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 440 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 2026-08-31.

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