llm.log: Skill for Claude Code

.agents/skills/overdrive/SKILL.md

overdrive is a skill for Claude Code from lanesket/llm.log. It costs 46 tokens per session (2,021 once invoked), scanned A, a copy of overdrive, MIT.

A mode for building technically ambitious interfaces, from high-performance tables and real-time forms to physics-based dialogs and scroll-driven effects.

In plain words
What is it for?
Use it to propose and build advanced browser experiences such as virtual tables, cinematic transitions, shaders, spring motion, and streaming feedback, based on the project's context.
Why use it?
It helps when a conventional interface does not express the product's goals or provide the desired level of interaction and performance.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: names the AskUserQuestion tool; installed under .agents/ (shared by several agents).

This is lanesket/llm.log's own configuration. It tells Claude Code how to work on llm.log itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything llm.log configures →

Reuse

Borrowing it

Nothing to install: this file belongs to lanesket/llm.log. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/lanesket/llm.log/main/.agents/skills/overdrive/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/lanesket/llm.log

Made for: Claude Code.

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 overdrive

README.md
[![agentmods](https://agentmods.dev/badge/skills/lanesket/llm.log/overdrive.svg)](https://agentmods.dev/skills/lanesket/llm.log/overdrive)
Your own site
<a href="https://agentmods.dev/skills/lanesket/llm.log/overdrive"><img src="https://agentmods.dev/badge/skills/lanesket/llm.log/overdrive.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,021 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 89% copy Near-identical to another mod 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 $0.00046 $0.02021
Opus 5 $0.00023 $0.01010
Sonnet 5 $0.00009 $0.00404
Haiku 4.5 $0.00005 $0.00202

Measured 6d ago against content hash 29a67c768a28, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

overdrive 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 6d 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.

Origin

This is a copy

89% identical to overdrive — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/overdrive/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Start your response with:

──────────── ⚡ OVERDRIVE ─────────────
》》》 Entering overdrive mode...

Push an interface past conventional limits. This isn't just about visual effects — it's about using the full power of the browser to make any part of an interface feel extraordinary: a table that handles a million rows, a dialog that morphs from its trigger, a form that validates in real-time with streaming feedback, a page transition that feels cinematic.

MANDATORY PREPARATION

Use the frontend-design skill — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run teach-impeccable first.

EXTRA IMPORTANT FOR THIS SKILL: Context determines what "extraordinary" means. A particle system on a creative portfolio is impressive. The same particle system on a settings page is embarrassing. But a settings page with instant optimistic saves and animated state transitions? That's extraordinary too. Understand the project's personality and goals before deciding what's appropriate.

Propose Before Building

This skill has the highest potential to misfire. Do NOT jump straight into implementation. You MUST:

  1. Think through 2-3 different directions — consider different techniques, levels of ambition, and aesthetic approaches. For each direction, briefly describe what the result would look and feel like.
  2. STOP and call the AskUserQuestion tool to clarify. to present these directions and get the user's pick before writing any code. Explain trade-offs (browser support, performance cost, complexity).
  3. Only proceed with the direction the user confirms.

Skipping this step risks building something embarrassing that needs to be thrown away.

Iterate with Browser Automation

Technically ambitious effects almost never work on the first try. You MUST actively use browser automation tools to preview your work, visually verify the result, and iterate. Do not assume the effect looks right — check it. Expect multiple rounds of refinement. The gap between "technically works" and "looks extraordinary" is closed through visual iteration, not code alone.

Read the full file on GitHub · 144 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. 6d ago First seen · 144 lines · 46 tokens per session scan A 29a67c768a28

Subscribe to this mod's changes

overdrive is a skill published in the GitHub repository lanesket/llm.log (22 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 2,021 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to overdrive, differing in 14 lines, and is treated as a copy.