optimize

An interface performance review covering loading speed, rendering, animations, images, and bundle size. A bundle is the code and resources sent to a user's browser.

In plain words
What is it for?
Use it to improve page speed, rendering, animations, image handling, and shipped code size.
Why use it?
It helps find changes that make an interface load slowly, animate poorly, or use more data than necessary.

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/rwliebs/dossier/optimize
Any agent
npx skills add rwliebs/Dossier --skill optimize
Clone the repo
git clone --depth 1 https://github.com/rwliebs/Dossier

Made for: Claude Code, Codex.

Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,853 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00026 $0.01853
Opus 5 $0.00013 $0.00927
Sonnet 5 $0.00005 $0.00371
Haiku 4.5 $0.00003 $0.00185

Measured 2d ago against content hash c6f29a93c2dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

optimize 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 2d 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/skills/optimize/SKILL.md · 265 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2d ago First seen · 265 lines · 26 tokens per session scan A c6f29a93c2dd

Subscribe to this mod's changes

optimize is a skill published in the GitHub repository rwliebs/Dossier (88 stars, last pushed 1mo ago), with no licence file. It adds 26 tokens to every session and 1,853 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.

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