optimize

optimize is a skill for Claude Code, Codex from escapeboy/ai-prompts. It costs 51 tokens per session (1,736 once invoked), scanned B, original, MIT.

A workflow for reducing the amount of text an AI coding agent needs to read and process during substantial work.

In plain words
What is it for?
Use it for multi-file features, refactors, or other non-trivial tasks when planning and token-use reporting are useful. It is unnecessary for a one-line answer or known single-file edit.
Why use it?
It avoids repeated exploration by choosing a planning approach, loading stored project knowledge, and starting with relevant code symbols.

Skill for Claude CodeCodex

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 skills/escapeboy/ai-prompts/optimize
Any agent
npx skills add escapeboy/ai-prompts --skill optimize
Clone the repo
git clone --depth 1 https://github.com/escapeboy/ai-prompts

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 optimize

README.md
[![agentmods](https://agentmods.dev/badge/skills/escapeboy/ai-prompts/optimize.svg)](https://agentmods.dev/skills/escapeboy/ai-prompts/optimize)
Your own site
<a href="https://agentmods.dev/skills/escapeboy/ai-prompts/optimize"><img src="https://agentmods.dev/badge/skills/escapeboy/ai-prompts/optimize.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,736 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00051 $0.01736
Opus 5 $0.00026 $0.00868
Sonnet 5 $0.00010 $0.00347
Haiku 4.5 $0.00005 $0.00174

Measured 4d ago against content hash 91f79fc5969b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

optimize scanned grade B with 1 finding 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 4d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

- `metrics` — the savings targets from `~/.claude/settings/token-optimization.json`
01-global-optimization/skills/optimize/SKILL.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/optimize — Maximum Token Efficiency Mode

Activates all Claude Code optimization strategies for the given task. Routes to the correct planning strategy, enforces symbol-first exploration, loads Serena memories, and reports token savings.

Use this as the default way to start any non-trivial work session.


When to Use This Skill (and When NOT to)

Use this skill for Use a simpler approach for
Starting a non-trivial task (a feature, a refactor, a module) where planning + memory loading pays back A one-line answer or a question you can answer directly — the strategy/memory scaffolding is pure overhead
Work spanning multiple files or subtasks, where symbol-first exploration and model routing save real tokens A single known edit in a file already open — just make it
A task worth measuring — you want the savings report at the end Trivial edits where reporting savings costs more than the edit
Any session where Serena memories + constitution should gate the approach before touching code A repo with no memories/constitution and a one-shot ask — skip straight to the work

Start simple. Reach for /optimize only when the task is big enough that choosing a strategy, loading memories, and routing models actually reduces total tokens. For a 1-line fix, the classification step is the overhead this skill exists to avoid elsewhere.


Usage

/optimize [task description]
/optimize [action]

Quick Examples

/optimize "Add email verification to the auth system"
/optimize "Fix the N+1 query in OrdersController#index"
/optimize status
/optimize report

How It Works

When you run /optimize "your task", Claude will:

  1. Analyze complexity — count subtasks, files affected, and dependencies
  2. Select planning strategy — Unified (1-2 tasks), Intent-Planning (3-7), or Planning-Only (8+)
  3. Load context — Serena memories + constitution (if available)
  4. Apply symbol-first exploration — never reads full files before checking symbols
  5. Select optimal model — Haiku for simple steps, Sonnet for complex work, Opus only for critical decisions
  6. Execute with metrics — reports token savings at the end

Read the full file on GitHub · 163 lines

Files

What ships with it

3 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.

  1. 4d ago First seen · 163 lines · 51 tokens per session scan B 91f79fc5969b

Subscribe to this mod's changes

optimize is a skill published in the GitHub repository escapeboy/ai-prompts (91 stars, last pushed 8d ago), licensed MIT. It adds 51 tokens to every session and 1,736 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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