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.
curl -O https://raw.githubusercontent.com/gug007/lpm/main/.claude/skills/lesson/SKILL.mdgit clone --depth 1 https://github.com/gug007/lpmWrote 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.
[](https://agentmods.dev/skills/gug007/lpm/lesson)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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
node scripts/new.js "<title>" [--projects storefront,client-portal]starts~/Movies/lpm-lessons/<slug>/withlesson.json,beats.jsandtake.sh. Write the narration and the beats:reference/beats-api.mdhas every call a beat can make, the selectors and the traps.- 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. <lesson>/take.sh --no-audiois a dry run: it lints the lesson, launches the app and drives the real pointer with estimated timing, and writesframes/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) andcover(2–4 words and a frame of the payoff) inlesson.json; a dry run's timing is estimated, so check both on the take'sqa/sheet.jpgand adjust with a--mux-onlyre-cut. Without them a lesson opens on its title card and uses that card as its thumbnail.<lesson>/take.shis 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.- Read the take's log for
warninglines 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. - 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 iss.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; writelpmlowercase (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
neutralShellreplaces the shell prompt). - a take drives the real Claude Code / Codex / Cursor on the user's login.
take.shsaves 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 runnode scripts/make.js <copy path> --mux-onlythere; a path is used as it is, so the published lesson is never touched.node --test scripts/test/*.test.jscovers 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).
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.
- music/.gitignore 6 B
- music/tracks.json 739 B
- reference/beats-api.md 17 KB
- reference/pipeline.md 14 KB
- scripts/__pycache__/simdrive.cpython-314.pyc 2.8 KB
- scripts/agents.js 2.7 KB runs code
- scripts/app.js 8.8 KB runs code
- scripts/appcap.swift 5.2 KB
- scripts/appstage.js 17 KB runs code
- scripts/axpress.swift 5.3 KB
- scripts/browser.js 2.4 KB runs code
- scripts/browserside.js 5.6 KB runs code
- scripts/captions.js 7.7 KB runs code
- scripts/capture.js 4.2 KB runs code
- scripts/cards.js 4.8 KB runs code
- scripts/chapters.js 3.0 KB runs code
- scripts/cli.js 3.5 KB runs code
- scripts/clipboard.swift 2.3 KB
- scripts/compose.js 18 KB runs code
- scripts/cover.js 6.0 KB runs code
- scripts/edit.js 12 KB runs code
- scripts/fit.js 2.7 KB runs code
- scripts/guard.js 9.2 KB runs code
- scripts/headscale.js 7.2 KB runs code
- scripts/helpers.js 1.1 KB runs code
- scripts/insets.js 8.0 KB runs code
- scripts/keyframes.js 1.9 KB runs code
- scripts/kit.js 13 KB runs code
- scripts/lesson-opener.js 497 B runs code
- scripts/linkbuild.js 6.5 KB runs code
- scripts/lint.js 8.6 KB runs code
- scripts/loudness.js 1.6 KB runs code
- scripts/make.js 19 KB runs code
- scripts/maskfit.js 5.8 KB runs code
- scripts/mix.js 6.0 KB runs code
- scripts/new.js 4.0 KB runs code
- scripts/ocr.swift 969 B
- scripts/openurl.swift 1.2 KB
- scripts/overlay.js 14 KB runs code
- scripts/phone.js 10 KB runs code
- scripts/phonecompose.js 8.7 KB runs code
- scripts/phonestage.js 11 KB runs code
- scripts/preflight.js 13 KB runs code
- scripts/qa.js 11 KB runs code
- scripts/record.js 16 KB runs code
- scripts/recorder.js 2.7 KB runs code
- scripts/simdrive.py 1.7 KB runs code
- scripts/stage.js 6.0 KB runs code
- scripts/state.js 5.2 KB runs code
- scripts/stop-lesson-daemon.sh 440 B runs code
- scripts/take.sh 3.3 KB runs code
- scripts/takes.js 5.9 KB runs code
- scripts/teardown.js 962 B runs code
- scripts/test/captions.test.js 4.2 KB runs code
- scripts/test/compose.test.js 5.5 KB runs code
- scripts/test/edit.test.js 6.4 KB runs code
- scripts/test/keyframes.test.js 2.4 KB runs code
- scripts/test/lint.test.js 3.4 KB runs code
- scripts/test/safety.test.js 5.6 KB runs code
- scripts/test/words.test.js 2.2 KB runs code
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.
- yesterday Changed a946f96570ee
- 23d ago First seen · 30 lines · 69 tokens per session scan A a8967697e771
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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