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 amenti-labs/vibecraft --skill building-with-schematicsgit clone --depth 1 https://github.com/amenti-labs/vibecraftWrote 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/amenti-labs/vibecraft/building-with-schematics)<a href="https://agentmods.dev/skills/amenti-labs/vibecraft/building-with-schematics"><img src="https://agentmods.dev/badge/skills/amenti-labs/vibecraft/building-with-schematics/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/amenti-labs/vibecraft/building-with-schematics"><img src="https://agentmods.dev/badge/skills/amenti-labs/vibecraft/building-with-schematics.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 | $0.00070 | $0.04438 |
| Opus 5.5 | $0.00028 | $0.01775 |
| Sonnet 5.5 | $0.00014 | $0.00888 |
| Haiku 4.5 | $0.00007 | $0.00444 |
Grade A, and why
building-with-schematics 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 2mo 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 — 407 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building with Schematics
Why Schematics?
Schematics are the PREFERRED building method because:
- You describe WHAT to build, not HOW to execute commands
- Full block state support (facing, axis, half, etc.)
- COMPACT FORMAT saves ~70% tokens with run-length encoding
- Automatic rotation of entire builds
- Optimizes commands automatically
COMPACT FORMAT (Recommended)
Use this format for token efficiency:
{
"a": [x, y, z],
"p": {"S": "stone", "P": "oak_planks", ".": "air"},
"l": [
[0, "S*10|S P*8 S~8|S*10"]
]
}
Compact Syntax:
- Short keys:
"a"(anchor),"p"(palette),"l"(layers),"f"(facing) - Layers:
[y_offset, "row|row|row"]- pipe separates rows - Layer range:
["1-3", "pattern"]- same pattern at y=1, y=2, y=3 (great for walls!) - Run-length:
S*5= 5 S blocks in a row - Row repeat:
S P*3 S~8= repeat this row pattern 8 times
Compact Examples:
10x10 floor with border (verbose: ~500 tokens, compact: ~50 tokens):
{"a": [0,64,0], "p": {"S": "stone", "P": "planks"}, "l": [[0, "S*10|S P*8 S~8|S*10"]]}
5x5x4 hollow room (with layer range for walls):
{
"a": [100, 64, 200],
"p": {"W": "oak_planks", ".": "air"},
"l": [
[0, "W*5~5"],
["1-2", "W*5|W .*3 W~3|W*5"],
[3, "W*5~5"]
]
}
Note: ["1-2", "..."] creates identical layers at y=1 AND y=2. Great for multi-story walls!
Verbose Format (Backward Compatible)
{
"anchor": [x, y, z],
"facing": "north",
"mode": "replace",
"palette": {"<symbol>": "<block>[states]{nbt}"},
"layers": [
{"y": 0, "grid": [["S","S"],["S","S"]]}
]
}
Grid Convention
North (-Z)
^
Row 0 |
Row 1 |
Row 2 v
South (+Z)
Col0 Col1 Col2
<--- West East --->
(-X) (+X)
grid[row][col]=grid[z][x]- Row 0 is the NORTH edge
- Column 0 is the WEST edge
- Rows increase going SOUTH
- Columns increase going EAST
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.
- 2mo ago First seen · 407 lines · 70 tokens per session scan A 36c84a87c2b8
building-with-schematics is a skill published in the GitHub repository amenti-labs/vibecraft (107 stars, last pushed 9mo ago), licensed MIT. It adds 70 tokens to every session and 4,438 once invoked, about $0.0003 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 2026-08-30.
building-with-schematics compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| building-with-schematicsamenti-labs/vibecraft | Skill | 107 | 9mo ago | MIT | A | 70 | Claude Code |
| playtest-reportDonchitos/Claude-Code-Game-Studios | Skill | 36k | 18d ago | MIT | A | 20 | Claude Code |
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| scenario-unreal-gameplayscenario-labs/skills | Skill | 3.2k | yesterday | MIT | A | 121 | Claude Code |
| motionOpenDCAI/GameFactory-3A | Skill | 1.0k | 8d ago | Apache-2.0 | A | 0 | Claude Code, Codex |
| unity-addressablesBesty0728/Unity-Skills | Skill | 1.9k | yesterday | MIT | A | 25 | Claude Code, Codex |
| unity-manual-componentBesty0728/Unity-Skills | Skill | 1.9k | yesterday | MIT | A | 36 | Claude Code, Codex |