lpm: Skill for Claude Code

.claude/skills/lesson/SKILL.md

lesson is a skill for Claude Code from gug007/lpm. It costs 69 tokens per session (1,191 once invoked), scanned A, original, MIT.

A workflow for making a narrated video lesson about the lpm desktop app. It records the app on a clean data directory and produces an MP4 with spoken audio timed to the on-screen actions.

In plain words
What is it for?
Use it to create a tutorial or screencast from a title and optional narration, including a planned opening and cover image.
Why use it?
It gives a repeatable way to plan, dry-run and review a tutorial before recording the final version. This helps catch bad timing or incorrect interactions in a screen recording.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions Claude Code; mentions Codex.

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/lesson/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 lesson

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/gug007/lpm/lesson"><img src="https://agentmods.dev/badge/skills/gug007/lpm/lesson.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,191 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 $0.00069 $0.01191
Opus 5.5 $0.00028 $0.00476
Sonnet 5.5 $0.00014 $0.00238
Haiku 4.5 $0.00007 $0.00119

Measured yesterday against content hash a946f96570ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lesson 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 yesterday.

The scan reads SKILL.md. This mod also ships 50 executable files (scripts/agents.js, scripts/app.js, scripts/appstage.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.

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.

.claude/skills/lesson/SKILL.md · 30 lines

How it starts

The opening of the file, as written. The whole thing — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generate a video tutorial from a title and optional narration text.

Workflow

  1. node scripts/new.js "<title>" [--projects storefront,client-portal] starts ~/Movies/lpm-lessons/<slug>/ with lesson.json, beats.js and take.sh. Write the narration and the beats: reference/beats-api.md has every call a beat can make, the selectors and the traps.
  2. Show the user the narration (with the cue words each click lands on), a one-line-per-beat plan, and anything the take touches in their real setup (agent settings, a real git clone, real usage meters). Wait for their OK before anything is spoken.
  3. <lesson>/take.sh --no-audio is a dry run: it lints the lesson, launches the app and drives the real pointer with estimated timing, and writes frames/NN-<beat>.jpg. Review the frames (a contact sheet helps: ffmpeg -i 'frames/%*.jpg' … tile). Then write the opening and the cover: coldOpen (a one- or two-sentence hook over two short shots of the payoff) and cover (2–4 words and a frame of the payoff) in lesson.json; a dry run's timing is estimated, so check both on the take's qa/sheet.jpg and adjust with a --mux-only re-cut. Without them a lesson opens on its title card and uses that card as its thumbnail.
  4. <lesson>/take.sh is the take: voice first, then the recording, then the MP4, captions, chapters, thumbnail and the checks (qa/report.json, qa/sheet.jpg). Run it in the foreground (a take started in the background fails for lack of a first frame), about 5 minutes. Nobody touches the mouse or keyboard meanwhile.
  5. Read the take's log for warning lines and the qa summary: a FAIL (a name, email or error text on screen, an agent that never answered) means the take is not publishable as it is.
  6. End the reply with the MP4's full absolute path (~/Movies/lpm-lessons/<slug>/<slug>.mp4).

Rules

  • no YAML, config files or CLI unless the title is about them; each video stands alone (no "next lesson" or teaser line; the lint refuses one); lessons open on s.card("<title>") and close on a silent { "id": "outro", "ms": 3200 } line whose beat is s.card("lpm.cx", { hold: true }).
  • narration: name the control, then click it on that word (cue); fold a very short closing sentence ("Click it.") into the one before, since the voice drops those; write lpm lowercase (it is spoken as letters).
  • the recording shows the real machine: the checks read every second of the take for the account name, full name, computer name, email and home path, and for error text. Keep them off screen (the kit's neutralShell replaces the shell prompt).
  • a take drives the real Claude Code / Codex / Cursor on the user's login. take.sh saves their model, effort and status-line settings and puts them back afterwards, even after a crash (restored at the start of the next take). Nothing else in their config is guarded, so a lesson that changes something else must put it back itself.
  • never verify a pipeline change with a real take. Copy the lesson folder (cp -c -R) to a scratch directory and run node scripts/make.js <copy path> --mux-only there; a path is used as it is, so the published lesson is never touched. node --test scripts/test/*.test.js covers the pure parts.
  • use the OpenAI key in the Keychain (security add-generic-password -s lpm-video -a openai -U -w).

Re-cuts (--mux-only): re-render the current take with the current look, sound, zooms and captions; nothing is recorded and nothing is spoken. A reworded line needs --speak: it speaks the changed lines and keeps them only if every new clip still fits before the next line; otherwise all clips are put back as they were and the line needs a new take. --take <n> re-cuts an archived take from _takes/ with the script it was recorded with (it fails when those lines have been spoken again since). The render a re-cut replaces is kept in its take's cuts/. Adjust a zoom without a new take through lesson.json "zooms": { "<line>#<n>": { "scale": 1.6, "at": [0.3, 0.5], "ms": 900 } } or { "drop": true } (the mux log lists the ids).

Read the full file on GitHub · 30 lines

Files

What ships with it

60 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 a946f96570ee
  2. 23d ago First seen · 30 lines · 69 tokens per session scan A a8967697e771

Subscribe to this mod's changes

lesson is a skill published in the GitHub repository gug007/lpm (145 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 1,191 once invoked, about $0.0003 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 2026-10-01.

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