lpm: Skill for Claude Code

.claude/skills/short-race/SKILL.md

short-race is a skill for Claude Code from gug007/lpm. It costs 211 tokens per session (6,168 once invoked), scanned B, original, MIT.

A workflow for making a short video that compares two AI models on the same prompt in lpm. It runs each model in its own project copy, shows the results side by side and records the comparison as a vertical lesson.

In plain words
What is it for?
Use it to create a short model-versus-model demonstration with a shared prompt, side-by-side results and a captioned video.
Why use it?
It makes the comparison use the same task for both models, so viewers can see the outputs and finish times together. It removes the need to assemble the race and recording plan manually.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

This is gug007/lpm's own configuration. It tells Claude Code how to work on lpm 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 lpm configures →

Reuse

Borrowing it

Nothing to install: this file belongs to gug007/lpm. 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/gug007/lpm/main/.claude/skills/short-race/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/gug007/lpm

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 short-race

README.md
[![agentmods](https://agentmods.dev/badge/skills/gug007/lpm/short-race/github.svg)](https://agentmods.dev/skills/gug007/lpm/short-race)
Your own site
<a href="https://agentmods.dev/skills/gug007/lpm/short-race"><img src="https://agentmods.dev/badge/skills/gug007/lpm/short-race/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 short-race

Your own site · 80×15
<a href="https://agentmods.dev/skills/gug007/lpm/short-race"><img src="https://agentmods.dev/badge/skills/gug007/lpm/short-race.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 211 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,168 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00211 $0.06168
Opus 5.5 $0.00084 $0.02467
Sonnet 5.5 $0.00042 $0.01234
Haiku 4.5 $0.00021 $0.00617

Measured yesterday against content hash 681aba4cc283, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

short-race 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 yesterday.

The scan reads SKILL.md. This mod also ships 9 executable files (scripts/beats.js, scripts/claude-default.js, scripts/cli-default.js, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

- The composer's Model menu runs Claude's `/model` and `/effort`, and Claude saves both as the user's default for new sessions (`model` and `modelSettings` in `~/.claude/settings.json`). Cursor CLI saves the model it was
.claude/skills/short-race/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Races two models on one prompt and cuts it into a TikTok. It writes a lesson for the short skill and records it with that skill's pipeline. Everything in that SKILL.md still holds and is not repeated here: payoff-first cut, captions, safe zones, review, the lesson data dir and workspace, foreground takes.

What the video shows (about 17 s)

Most of it is the two finished pages, with nothing written over them, so viewers can compare them: the opening and the ending are spoken without captions ("caption": false on hook, tease, reveal and wrap), the headline goes after 2.5 s (headlineMs), and lpm.cx sits at the right end of the cyan bar (mark in compare.json) instead of the end sticker ("cta": false). Only the one line over the terminals is captioned.

  1. Cold open on the payoff for two lines ("open": 2, about 4–5 s): both animations running one above the other, a colour bar over each row with the model and its finish time, and the headline for its first 2.5 s. It starts with the two model names slammed in big (slam in lesson.json, written by new.js): model A in cyan from the left, VS, model B in pink from the right, over the dimmed pages. At 1.65 s they shrink away into the headline, and that slam frame is the cover. A race between brands is named the way people search for it: "Claude or ChatGPT?" spoken, "Claude vs ChatGPT: Fable 5.1 vs GPT-6 Sol 🦒" as the headline, "Claude vs ChatGPT for coding:" leading the caption ("Claude vs Grok" for a Grok model in Cursor). The second line says what both models were asked to build ("Same prompt: a giraffe flying a plane."), so viewers know the prompt without reading it in the terminals. Keep it when rewording lesson.json. It also keeps the result on screen: a one-line opening lost most viewers at 0:02, when it cut to the setup.
  2. No setup on screen. Picking the models, typing the prompt and Run in duplicates all happen under the two opening lines, where the payoff hides them, so the video goes from the opening straight to the race.
  3. Both models at work in lpm, one above the other, for one line (about 3 s, the only shot of the terminals): "Opus 5.5 and GPT-6 Astra build it in lpm's terminal." The camera pushes in on each row's start banner as its model is named (for Cursor, its status line, which it draws just under the prompt; for Muse Code, its status line at the foot of its screen), then goes wide on "terminal". The clocks on the bars tick from the first frame of this shot.
  4. The build is jump-cut as soon as that line ends. The clocks stop on each agent's real finish. A lesson written before 2026-10-19 still spends a second line ("Both are building it now.") on the terminals and captions its pages; the beats still run it, but rewrite it with new.js --force for the shorter cut.
  5. Both index.html files open in lpm's own browser, one per row. The payoff shot starts as soon as the camera goes wide on them, so it outlasts the two-line opening. Every video ends on them by asking viewers which two models they want compared next, in the comments ("Which giraffe wins? Comment two models to race next."), and the caption asks too. Keep that ending when rewording lesson.json. It asks for suggestions; it never promises or teases a particular next video.

Read the full file on GitHub · 102 lines

Files

What ships with it

9 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. yesterday Changed 681aba4cc283
  2. 4d ago Changed · +2 lines f507e350ee1a
  3. 10d ago Changed · +4 lines · +8 tokens per session 80874c058ae2
  4. 13d ago Changed · +3 lines 35f5474570f3
  5. 14d ago Changed · +1 lines · -1 tokens per session 88d856de8192
  6. 16d ago Changed · +11 tokens per session 2e613ef1e6e8
  7. 23d ago First seen · 92 lines · 193 tokens per session scan B d71882080fcb

Subscribe to this mod's changes

short-race is a skill published in the GitHub repository gug007/lpm (145 stars, last pushed today), licensed MIT. It adds 211 tokens to every session and 6,168 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-10-01.

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