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.
npx skills add ourobx/agent-ebpf --skill video2dspritegit clone --depth 1 https://github.com/ourobx/agent-ebpfWrote 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/ourobx/agent-ebpf/video2dsprite)<a href="https://agentmods.dev/skills/ourobx/agent-ebpf/video2dsprite"><img src="https://agentmods.dev/badge/skills/ourobx/agent-ebpf/video2dsprite/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/ourobx/agent-ebpf/video2dsprite"><img src="https://agentmods.dev/badge/skills/ourobx/agent-ebpf/video2dsprite.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 | $0.00124 | $0.02645 |
| Opus 5.5 | $0.00050 | $0.01058 |
| Sonnet 5.5 | $0.00025 | $0.00529 |
| Haiku 4.5 | $0.00012 | $0.00265 |
Grade A, and why
video2dsprite 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 — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video2dsprite (Grok Build only)
Convert a base 2D character image into dense animation sprites using Grok Build's native video tools.
App-builder / Grok environment
| Item | Value |
|---|---|
| Skill dir | .grok/skills/video2dsprite/ |
| Scripts | python3 .grok/skills/video2dsprite/scripts/video2dsprite.py … |
| Video tools | imagine_image_to_video — animate one base file_path (verify present) |
| Inspect | read_file on stills/frames; report paths for videos |
| Deps | ffmpeg + Pillow + numpy (preinstalled in app-builder image) |
| Output home | assets/sprites/video2dsprite/<name>/ under /workspace |
| Default | Prefer generate2dsprite for production heroes; this is the denser-motion path |
base still → imagine_image_to_video (in-place motion) → extract frames → chroma key → sample/normalize → strip / grid / GIF
Platform gate (read first)
| Runtime | Supported? |
|---|---|
| Grok Build (xAI) | Yes — requires an image generator + an image→video tool |
| Codex / Claude / other agents | No — they lack Grok video tools. Tell the user this skill is Grok Build only and offer $generate2dsprite instead |
Gate on the capability, not the exact tool name. Image generation appears
as imagine_text_to_image / imagine_image_to_image; video as imagine_image_to_video
or (legacy) generate_video. Use whichever pair your tool list has. Stop and
explain only when you have no image→video tool at all. Do not fake motion with
code-drawn frames.
This skill is an optional denser-motion path. It does not replace $generate2dsprite:
Use $generate2dsprite when… |
Use $video2dsprite when… |
|---|---|
| Crisp pixel sheets, fixed grids, identity-critical heroes | User wants denser intermediate poses / smoother feeling loops |
| Attack/cast body sheets, prop packs, engine atlases | Experimenting with video-sourced run/walk/idle motion |
| Production default for most game sprites | User explicitly asks for video → frames → sprites |
What ships with it
5 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 · 237 lines · 124 tokens per session scan A 09062be6facd
video2dsprite is a skill published in the GitHub repository ourobx/agent-ebpf (1 stars, last pushed 1mo ago), licensed MIT. It adds 124 tokens to every session and 2,645 once invoked, about $0.0005 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 2026-09-04.
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