jev-ultrafast

jev-ultrafast is a skill for Claude Code, Codex from PeakCode-AI/PeakCode. It costs 32 tokens per session (1,316 once invoked), scanned A, original, MIT.

A decision policy for browser automation, where software observes a web page and chooses actions such as clicking or entering text. It uses one page snapshot, one decision, and one action at a time.

In plain words
What is it for?
Use it to choose the next browser operation and its target efficiently. It is intended to work alongside browser tools that inspect page elements and perform actions.
Why use it?
It reduces unnecessary observations and decisions during long browser tasks.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to choose the next browser operation and its target efficiently. It is intended to work alongside browser tools that inspect page elements and perform actions.

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Install with agentmods
npx agentmods add skills/peakcode-ai/peakcode/jev-ultrafast
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 PeakCode-AI/PeakCode --skill jev-ultrafast
Clone the repo
git clone --depth 1 https://github.com/PeakCode-AI/PeakCode

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 jev-ultrafast

README.md
[![agentmods](https://agentmods.dev/badge/skills/peakcode-ai/peakcode/jev-ultrafast/github.svg)](https://agentmods.dev/skills/peakcode-ai/peakcode/jev-ultrafast)
Your own site
<a href="https://agentmods.dev/skills/peakcode-ai/peakcode/jev-ultrafast"><img src="https://agentmods.dev/badge/skills/peakcode-ai/peakcode/jev-ultrafast/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 jev-ultrafast

Your own site · 80×15
<a href="https://agentmods.dev/skills/peakcode-ai/peakcode/jev-ultrafast"><img src="https://agentmods.dev/badge/skills/peakcode-ai/peakcode/jev-ultrafast.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,316 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 $0.00032 $0.01316
Opus 5.5 $0.00013 $0.00526
Sonnet 5.5 $0.00006 $0.00263
Haiku 4.5 $0.00003 $0.00132

Measured 1mo ago against content hash e8096824cec7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

jev-ultrafast 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/jev-ultrafast/skills/jev-ultrafast/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Jev Ultrafast

browser-use covers the mechanics — snapshots, refs, coordinates, permissions, the observe/act/observe loop. This is the decision policy on top of them: how to choose the next action so that a run spanning dozens of steps still finishes quickly.

It comes from browser-use/jev-ultrafast, where a goal runs on an indexed action space: one observation, one decision, one action, with the operation and its target chosen together.

One table, one decision, one action

Take a snapshot, then write the candidates out once as a numbered table — one index per element, the value it currently holds, and the operations it can take:

[1] e3   button    "Change ticket type · Round trip"
[2] e5   combobox  "Where from?"  value="San Francisco"
[3] e7   combobox  "Where to?"    value=""
[4] e9   textbox   "Departure"    value=""
[5] e12  button    "Search"

Then choose the operation and its target in the same step, and make one tool call. Two decisions, one observation: the target cannot come from a table the operation did not see, and a step costs one snapshot instead of two.

The numbering is the point, not decoration. One index per element makes a checkbox and its label one target instead of two, and each line carries the current value — so "is this step already done" is answered by the table rather than by memory.

Do not take a fresh snapshot between deciding and acting. Reuse the one you have: that single observation per step is what makes the loop fast, and it stays valid until the page changes.

The index is local to its snapshot, like the ref it points at. When the page moves, rebuild the table; never carry an index across observations, and never act on an element that was not in the table. If the snapshot reports elements omitted by its cap, the control you want may be past it — raise max_elements or scroll to it rather than guessing at a target.

Match the operation to the element

Only three operations change a page, and each takes its own kind of target:

Read the full file on GitHub · 110 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. 1mo ago First seen · 110 lines · 0 tokens per session scan A e8096824cec7

Subscribe to this mod's changes

jev-ultrafast is a skill published in the GitHub repository PeakCode-AI/PeakCode (142 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 1,316 once invoked, about $0.0001 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 2026-09-19.

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