performance-audit-standard

performance-audit-standard is a skill for Claude Code, Codex from 0xMassi/claude-skills. It costs 76 tokens per session (2,362 once invoked), scanned A, original, MIT.

A method for finding and addressing code that makes an application slow or resource-heavy. It examines frequently run code, the amount of data it processes, algorithmic cost, input and output, connections, and caching.

In plain words
What is it for?
Use it to inspect request handlers and event processors, analyse algorithm speed, choose better data structures, improve asynchronous work, and assess connection pooling or caching.
Why use it?
It helps locate the parts of a program that consume the most time or resources instead of optimising code at random. It also identifies patterns such as repeated linear searches, unnecessary sorting, and nested loops.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to inspect request handlers and event processors, analyse algorithm speed, choose better data structures, improve asynchronous work, and assess connection pooling or caching.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/0xmassi/claude-skills/performance-audit-standard
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.

Any agent
npx skills add 0xMassi/claude-skills --skill performance-audit-standard
Clone the repo
git clone --depth 1 https://github.com/0xMassi/claude-skills

Made for: Claude Code, Codex.

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-audit-standard

README.md
[![agentmods](https://agentmods.dev/badge/skills/0xmassi/claude-skills/performance-audit-standard/github.svg)](https://agentmods.dev/skills/0xmassi/claude-skills/performance-audit-standard)
Your own site
<a href="https://agentmods.dev/skills/0xmassi/claude-skills/performance-audit-standard"><img src="https://agentmods.dev/badge/skills/0xmassi/claude-skills/performance-audit-standard/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 performance-audit-standard

Your own site · 80×15
<a href="https://agentmods.dev/skills/0xmassi/claude-skills/performance-audit-standard"><img src="https://agentmods.dev/badge/skills/0xmassi/claude-skills/performance-audit-standard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,362 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 $0.00076 $0.02362
Opus 5 $0.00038 $0.01181
Sonnet 5 $0.00015 $0.00472
Haiku 4.5 $0.00008 $0.00236

Measured 11d ago against content hash 4372cce8d028, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

performance-audit-standard 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 11d 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.

performance-audit-standard/SKILL.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Performance Audit Standard

Methodology for identifying and fixing performance bottlenecks.

Audit Process

Step 1: Identify Hot Paths

Find code that runs frequently or processes large datasets:

  • Request handlers (every HTTP request)
  • Event processors (every WebSocket message)
  • Loop bodies processing collections (per-item)
  • Interval timers (every N seconds)
  • Middleware/interceptors (every request)

Ask: "How many times per second does this code execute?" and "What's the typical input size?"

Step 2: Analyze Complexity

For each hot path, determine actual Big O:

Pattern Complexity Example
array.includes(x) O(n) Linear scan per check
array.find(x => ...) O(n) Linear scan
array.filter().map().filter() O(3n) + 3 allocations Multiple passes
Object.entries().find() O(n) Linear scan of object
array.sort() to find min/max O(n log n) Overkill for single value
Nested loops with includes O(n*m) Quadratic

Step 3: Apply Fixes

Common Performance Anti-Patterns

1. O(n) Membership Test → Use Set

// BAD: O(n) per check, O(n*m) in a loop
const newIds = currentIds.filter(x => !savedIds.includes(x));

// GOOD: O(1) per check, O(n+m) total
const savedSet = new Set(savedIds);
const newIds = currentIds.filter(x => !savedSet.has(x));

Impact: 1000x on large collections (1000 items: 1M comparisons → 1K).

2. O(n log n) Selection → Single-Pass

// BAD: filter + sort + take first = O(n) + O(n log n) + O(1)
const available = tokens.filter(t => !t.expired);
available.sort((a, b) => a.lastUsed - b.lastUsed);
const best = available[0];

// GOOD: Single O(n) pass
let best = null;
for (const t of tokens) {
  if (t.expired) continue;
  if (!best || t.lastUsed < best.lastUsed) best = t;
}

Impact: 10-50x faster, zero intermediate arrays.

3. Linear Lookup → Map Index

// BAD: O(n) per lookup
function findToken(value) {
  return tokens.find(t => t.value === value);
}

// GOOD: O(1) per lookup
const tokenIndex = new Map(tokens.map(t => [t.value, t]));
function findToken(value) {
  return tokenIndex.get(value);
}

Read the full file on GitHub · 288 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. 11d ago First seen · 288 lines · 76 tokens per session scan A 4372cce8d028

Subscribe to this mod's changes

performance-audit-standard is a skill published in the GitHub repository 0xMassi/claude-skills (7 stars, last pushed 4mo ago), licensed MIT. It adds 76 tokens to every session and 2,362 once invoked, about $0.0004 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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