web-video-presentation

web-video-presentation is a skill for Claude Code, Codex from Linearl/reasonix_skill_repo. It costs 314 tokens per session (7,091 once invoked), scanned C, original, no licence file.

A workflow for turning an article or spoken script into a clickable 16:9 web presentation designed to look and feel like a video. It can also create spoken audio for the presentation.

In plain words
What is it for?
It is for producing web-based video-style presentations from articles or scripts, with optional narration from supported text-to-speech providers.
Why use it?
It gives developers a defined way to transform written material into presentation pages while aligning the script, structure, theme, media, and development approach.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for producing web-based video-style presentations from articles or scripts, with optional narration from supported text-to-speech providers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/linearl/reasonix_skill_repo/web-video-presentation
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 Linearl/reasonix_skill_repo --skill web-video-presentation
Clone the repo
git clone --depth 1 https://github.com/Linearl/reasonix_skill_repo

Made for: Claude Code, Codex.

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 web-video-presentation

README.md
[![agentmods](https://agentmods.dev/badge/skills/linearl/reasonix_skill_repo/web-video-presentation/github.svg)](https://agentmods.dev/skills/linearl/reasonix_skill_repo/web-video-presentation)
Your own site
<a href="https://agentmods.dev/skills/linearl/reasonix_skill_repo/web-video-presentation"><img src="https://agentmods.dev/badge/skills/linearl/reasonix_skill_repo/web-video-presentation/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 web-video-presentation

Your own site · 80×15
<a href="https://agentmods.dev/skills/linearl/reasonix_skill_repo/web-video-presentation"><img src="https://agentmods.dev/badge/skills/linearl/reasonix_skill_repo/web-video-presentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 314 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,091 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00314 $0.07091
Opus 5 $0.00157 $0.03546
Sonnet 5 $0.00063 $0.01418
Haiku 4.5 $0.00031 $0.00709

Measured 9d ago against content hash 0197b0dcbaad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade C, and why

web-video-presentation scanned grade C with 2 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 9d ago.

The scan reads SKILL.md. This mod also ships 13 executable files (scripts/scaffold.sh, templates/scripts/extract-narrations.ts, templates/scripts/synthesize-audio.sh, …), 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf presentation/src/chapters/01-example

Makes network callslowCapability

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

│ └── openai.sh # 内置 OpenAI TTS(curl + OPENAI_API_KEY)
skills/web-video-presentation/SKILL.md · 452 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 9d ago First seen · 452 lines · 314 tokens per session scan C 0197b0dcbaad

Subscribe to this mod's changes

web-video-presentation is a skill published in the GitHub repository Linearl/reasonix_skill_repo (2 stars, last pushed 12d ago), with no licence file. It adds 314 tokens to every session and 7,091 once invoked, about $0.0016 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, 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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