What is optimization-audit?

A review of how efficiently a system uses time, memory, storage, and other resources. It can plan performance for a system that has not been built yet or inspect existing code and infrastructure for slow or wasteful patterns.

Use it to plan capacity and scaling, review data access, find bottlenecks, check existing systems before release, and identify performance problems in code and infrastructure.

It helps locate causes of slow software, such as inefficient algorithms, repeated database queries, missing caching, or poor handling of simultaneous work.

optimization-audit — Skill for Claude Code by karsten-s-nielsen

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 karsten-s-nielsen/mad-scientist-skills --skill optimization-audit

Clone the repo

git clone --depth 1 https://github.com/karsten-s-nielsen/mad-scientist-skills

Made for: Claude Code.

Or install mad-scientist-skills, the plugin that ships this one along with the rest of its 11 skills, 4 commands.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/karsten-s-nielsen/mad-scientist-skills/optimization-audit/github.svg)](https://agentmods.dev/skills/karsten-s-nielsen/mad-scientist-skills/optimization-audit)

Your own site

<a href="https://agentmods.dev/skills/karsten-s-nielsen/mad-scientist-skills/optimization-audit"><img src="https://agentmods.dev/badge/skills/karsten-s-nielsen/mad-scientist-skills/optimization-audit/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/karsten-s-nielsen/mad-scientist-skills/optimization-audit"><img src="https://agentmods.dev/badge/skills/karsten-s-nielsen/mad-scientist-skills/optimization-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 24,517 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.

Model	Per session	Once invoked
Fable 5.1	$0.00102	$0.24517
Opus 5.5	$0.00041	$0.09807
Sonnet 5.5	$0.00020	$0.04903
Haiku 4.5	$0.00010	$0.02452

Measured 1mo ago against content hash 6ec338699aff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

optimization-audit 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 1mo 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.

plugins/mad-scientist-skills/skills/optimization-audit/SKILL.md · 1,191 lines

How it starts

The opening of the file, as written. The whole thing — 1,191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Optimization Audit

A comprehensive optimization skill with two modes and a single tier:

Modes:

Planning (before code exists) — performance strategy, capacity planning, scaling architecture, data access design
Audit (on existing code) — scanning for performance anti-patterns, inefficient algorithms, N+1 queries, missing caching, concurrency issues, and resource waste

Single tier: Unlike the security and observability audits, optimization tools are overwhelmingly free/open-source (profilers, EXPLAIN, load testers, linters). Enterprise APM platforms are already covered by the observability-audit skill, so a Standard/Enterprise split would duplicate coverage.

Core question: "Is this system using resources efficiently?"

When to use this skill

When the user says "optimization audit", "performance review", "find bottlenecks", "optimize this", "check efficiency", or "resource audit"
Before designing a new system (planning mode) — to define performance strategy, capacity planning, and scaling architecture early
On an existing codebase (audit mode) — to find and fix performance anti-patterns and resource waste
Before a production deployment — to validate performance posture
After adding new services, data pipelines, or performance-sensitive features
When investigating production performance incidents or cost overruns

Mode detection

Determine which mode to operate in based on the project state:

Signal	Mode	Rationale
User says "design for performance", "plan scaling", "capacity planning"	Planning	Architecture-level performance strategy
User says "audit", "optimize", "find bottlenecks", "performance review"	Audit	Code and infrastructure scanning
No source code exists yet (only docs, diagrams, RFCs)	Planning	Nothing to profile — design the strategy
Source code and/or infrastructure files exist	Audit	Concrete artifacts to analyze
Both code and a request to "plan performance"	Both	Run planning phases on architecture, audit phases on code

Read the full file on GitHub · 1,191 lines

Files

What ships with it

10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

1mo ago Changed · +85 lines 6ec338699aff
1mo ago Changed 3b8ab594054e
2mo ago First seen · 1,106 lines · 102 tokens per session scan A c7a1f877e9c0

Subscribe to this mod's changes

optimization-audit is a skill published in the GitHub repository karsten-s-nielsen/mad-scientist-skills (3 stars, last pushed 1mo ago), licensed MIT. It adds 102 tokens to every session and 24,517 once invoked, about $0.0004 per session on Opus 5.5. 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.

Analytics and metrics Claude Code DevOps and cloud architecture c4-model claude-code-plugin code-quality observability

optimization-audit next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
optimization-auditkarsten-s-nielsen/mad-scientist-skills	Skill	3	1mo ago	MIT	A	102	Claude Code
mapjlifyio/wyx	Skill	3	29d ago	MIT	A	60	Claude Code
conceptjlifyio/wyx	Skill	3	29d ago	MIT	A	73	Claude Code
auditjlifyio/wyx	Skill	3	29d ago	MIT	A	81	Claude Code
pipelinejlifyio/wyx	Skill	3	29d ago	MIT	A	66	Claude Code
syncjlifyio/wyx	Skill	3	29d ago	MIT	A	58	Claude Code
refactorzircote-plugins/refactor	Skill	2	5mo ago	MIT	A	112	Claude Code