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 Pika-Labs/Pika-Plugins --skill voxel-itgit clone --depth 1 https://github.com/Pika-Labs/Pika-PluginsWrote 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/pika-labs/pika-plugins/voxel-it)<a href="https://agentmods.dev/skills/pika-labs/pika-plugins/voxel-it"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/voxel-it/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/pika-labs/pika-plugins/voxel-it"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/voxel-it.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Memory Poisoning · line 274 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00263 | $0.04951 |
| Opus 5 | $0.00131 | $0.02475 |
| Sonnet 5 | $0.00053 | $0.00990 |
| Haiku 4.5 | $0.00026 | $0.00495 |
Grade A, and why
voxel-it 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 9d 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.
response (`curl -X PUT -H "content-type: <type>" --upload-file <file> How it starts
The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.
voxel-it
Tools below are Pika MCP tools, named bare — call each under whatever prefix your session exposes for the Pika MCP.
One skill, one engine: turn a photo into a Minecraft screenshot where the human stays photoreal and the rest of the frame becomes voxel blocks, unified by a cinematic color grade. A Step 0 router reads the photo and picks one of three modes — deciding what gets voxelized (the featured object, the background, or everything except the person) and whether to float Minecraft "loot tags" naming the hero objects. This one skill absorbs both the old Minecraft-Food trend (object-only) and the old Minecraft-World trend (object+background).
The conversion engine is the @rohxit7 viral recipe, verbatim (Instagram, 194K likes, #minecraft #prompt #chatgpt). The object-only prompt and loot-tag clause are salvaged from the retired Minecraft-Food trend (@aibyjoe "Minecraft Food").
The effect, precisely:
- Keep photorealistic & untouched — the PERSON (face, skin, hair, clothing, pose, proportions). No stylization, no blockifying — in every mode.
- Convert to Minecraft — the parts the chosen mode targets (some subset of: terrain, structures, plants, objects, furniture, vehicles, food, drinks, sky, background): clean cubic/voxel geometry, crisp 16×16-style textures, modern-Minecraft-screenshot quality (premium SEUS/BSL shaders — realistic light, soft shadows, AO, volumetric light, sharp edges).
- Spatial fidelity (strict): exact camera, framing, composition; every element in its original position and size; nothing added/removed/rearranged.
- Cinematic color grade (the unifier): analyze the source mood and grade the whole frame to match, cohesive across real human + voxel world so it's one image, not a pasted cutout.
- (Conditional) Loot tags — object-only mode only; see Step 0.
Identity note: maskless single full-canvas edit (per the recipe), so the face is regenerated and can drift slightly. Accepted for color cohesion. For a byte-perfect face, see the advanced mask note at the bottom.
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.
- 9d ago First seen · 371 lines · 263 tokens per session scan A c0c97d9b1198
voxel-it is a skill published in the GitHub repository Pika-Labs/Pika-Plugins (40 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 263 tokens to every session and 4,951 once invoked, about $0.0013 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 2026-08-30.
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