gen

gen is a skill for Claude Code from ssrajadh/paperview. It costs 57 tokens per session (4,352 once invoked), scanned A, original, Apache-2.0.

A command for PaperView, a tool that creates narrated, animated explainer videos from research papers or codebases. It reads the source, plans scenes, adds speech, and renders the video.

In plain words
What is it for?
Use `/ppv:gen` with a paper PDF, text file, repository, source files, or codebase to produce an explainer video.
Why use it?
It turns dense technical material into a guided visual explanation and lets the process run locally when the required toolchain is installed.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the ppv plugin — 2 skills shipped together

Good fit Use /ppv:gen with a paper PDF, text file, repository, source files, or…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ssrajadh/paperview/gen
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 ssrajadh/paperview --skill gen
Clone the repo
git clone --depth 1 https://github.com/ssrajadh/paperview

Made for: Claude Code.

Or install ppv, the plugin that ships this one along with the rest of its 2 skills.

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 gen

README.md
[![agentmods](https://agentmods.dev/badge/skills/ssrajadh/paperview/gen.svg)](https://agentmods.dev/skills/ssrajadh/paperview/gen)
Your own site
<a href="https://agentmods.dev/skills/ssrajadh/paperview/gen"><img src="https://agentmods.dev/badge/skills/ssrajadh/paperview/gen.svg" alt="Measured on agentmods" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,352 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 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 $0.00057 $0.04352
Opus 5 $0.00028 $0.02176
Sonnet 5 $0.00011 $0.00870
Haiku 4.5 $0.00006 $0.00435

Measured 6d ago against content hash b0f98621437d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

gen scanned grade A 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 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsSL "https://arxiv.org/pdf/$ARXIV" -o "$WORK/paper.pdf" # arXiv serves the PDF here
adapters/claude-code/skills/gen/SKILL.md · 224 lines

How it starts

The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/ppv:gen — paper or codebase → narrated explainer video

The user's full request is: $ARGUMENTS

You are the planner/composer. You parse the request, read the source (a research paper or a codebase), author a scene plan, and drive the deterministic ppv CLI (parse → TTS → render). The CLI does the mechanical work; your job is the script and the visual choices.

ppv lives at ~/.paperview/venv/bin/ppv. Pre-flight: if that binary doesn't exist, the toolchain isn't installed — tell the user to run /ppv:setup first, then stop. Don't attempt to parse / tts / render without it (you'll just get No such file or directory).

1. Parse the request, then echo it back

From $ARGUMENTS extract: the source — a PDF (a local path, or an arXiv id / URL like 2310.06825 or arxiv.org/abs/2310.06825, which is downloaded for you — see §3), a text/Markdown file, or a codebase (a local repo/directory, a set of source files, a remote git URL like https://github.com/owner/repo, or a "explain project X" topic) — resolve ~, relative paths; if missing or ambiguous, ask — don't guess. A codebase takes a different path through the steps below (no ppv parse, no figures — see §3). Then any steering:

  • length / duration — a target time (e.g. "2 minutes", "~5 min") → target scene count at ~1 scene per 12–15s (default 10–12 scenes ≈ 3 min) and a per-scene narration word budget (~2.5 words/sec, so a 14s scene ≈ 35 words). Size narration to hit the target; TTS finalizes it.
  • depth / audienceintro / general vs expert, intuition-heavy vs math-heavy. This sets the narration register and the component mix: a general-audience cut leans on statement/bullets/ figure and explains terms; an expert cut spends more on equation/comparison and assumes vocabulary. Keep claims calibrated either way (§4). For papers/repos with an algorithm or key source snippet, use code — paste a real, focused snippet (~6-16 lines), set lang, and use highlightLines so the narration can walk through specific lines.
  • focus — a sub-topic to emphasize (spend more scenes there, trim the rest).
  • aspect (16:9 default / 9:16 / 1:1), provider/voice (default Kokoro, voice af_heart; run ppv tts --list-voices for the voices each provider offers), captions (on/off — burned-in subtitles, default off; set meta.captions or pass --captions).

Read the full file on GitHub · 224 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 · 224 lines · 57 tokens per session scan A b0f98621437d

Subscribe to this mod's changes

gen is a skill published in the GitHub repository ssrajadh/paperview (9 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 57 tokens to every session and 4,352 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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