Borrowing it
Nothing to install: this file belongs to vvedantb/eva. 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/vvedantb/eva/main/.claude/skills/eva-launch-video/SKILL.mdgit clone --depth 1 https://github.com/vvedantb/evaWrote 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/vvedantb/eva/eva-launch-video)<a href="https://agentmods.dev/skills/vvedantb/eva/eva-launch-video"><img src="https://agentmods.dev/badge/skills/vvedantb/eva/eva-launch-video/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/vvedantb/eva/eva-launch-video"><img src="https://agentmods.dev/badge/skills/vvedantb/eva/eva-launch-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Memory Poisoning · line 60 Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
- medium MCP Rug Pull · line 124 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 135 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00152 | $0.02804 |
| Opus 5.5 | $0.00061 | $0.01122 |
| Sonnet 5.5 | $0.00030 | $0.00561 |
| Haiku 4.5 | $0.00015 | $0.00280 |
Grade A, and why
eva-launch-video 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 1mo 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.
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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
eva product video
Make a high-end product video of the eva app (Linear/Notion quality) using the existing Remotion
project at video/. Footage comes from the real app, captured with agent-browser.
Wrong skill? This one is the polished multi-scene edit (Remotion, music, captions). For a single
feature, prefer the lighter siblings: eva-feature-screenshot (one screenshot + tweet) or
eva-feature-demo (one raw agent-browser recording + tweet). Tweet copy for any of the three
comes from eva-tweet.
The canonical project already exists — reuse it, don't start over.
- Project:
video/· primary composition:EvaHero(video/src/EvaHero.tsx) - Render output:
video/out/eva-demo.mp4 - Reusable components in
video/src/components/:Backdrop,AppWindow,EvaMark,HeroCaption(+Accent),Cursor,Spotlight,StatCounter,SnapIn,tokens. - Helper scripts in
video/scripts/:stills.mjs,gen-music.mjs,check-audio.mjs.
To make a NEW video: re-capture screens for the new story, edit the scene list / captions / durations
in EvaHero.tsx, regenerate the music to match the cut times, render, QA.
Non-negotiable defaults (learned the hard way — change only with a reason)
Each of these was a mistake first. Keep them unless the user overrides.
-
1280×720, 30fps. Not 1080p. The eva UI is a dense desktop app; at 1080p it reads "too zoomed / too big" on a phone. 720p is the mobile-friendly sweet spot for Twitter/X.
-
Capture at the frame's native layout, show full-bleed. Set the browser viewport to 1280×720 when capturing, then display the screenshot full-bleed at 1:1 (filling the whole frame). The single biggest quality lever:
- Capturing at 2560×1440 and downscaling to 720p halves UI text size → "zoomed out" and unreadable on mobile.
- Cropping/zooming the camera into a region shows awkward fragments of the UI.
- A 1280-wide layout shown 1:1 = native element sizes = readable + "zoomed in" + crisp.
What ships with it
2 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.
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.
- 1mo ago First seen · 167 lines · 152 tokens per session scan A 38c296105e72
eva-launch-video is a skill published in the GitHub repository vvedantb/eva (101 stars, last pushed today), licensed MIT. It adds 152 tokens to every session and 2,804 once invoked, about $0.0006 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 2026-09-03.
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