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 german-krasnikov/unity-biome-mcp --skill unity-physics-spatialgit clone --depth 1 https://github.com/german-krasnikov/unity-biome-mcpWrote 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/german-krasnikov/unity-biome-mcp/unity-physics-spatial)<a href="https://agentmods.dev/skills/german-krasnikov/unity-biome-mcp/unity-physics-spatial"><img src="https://agentmods.dev/badge/skills/german-krasnikov/unity-biome-mcp/unity-physics-spatial.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Agent Snooping · line 9 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00030 | $0.00648 |
| Opus 5 | $0.00015 | $0.00324 |
| Sonnet 5 | $0.00006 | $0.00130 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade A, and why
unity-physics-spatial 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 8d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unity Physics And Spatial Analysis
If it is not already loaded, read
.claude/skills/unity-mcp-operations/SKILL.md once. Use scene-authoring tools
for component mutation. Enable SCENE for spatial analysis and RUNTIME for
Play Mode diagnostics.
Setup
batch(
commands="""
manage_component path=/Crate type=Rigidbody action=add
manage_component path=/Crate type=BoxCollider action=add
set_property path=/Crate component=Rigidbody prop=mass value=5
set_property path=/Crate component=Rigidbody prop=useGravity value=true
get_component path=/Crate type=Rigidbody
get_component path=/Crate type=BoxCollider
""",
on_error="stop",
atomic=True
)
check_colliders(path="/Crate")
For several objects:
configure_objects(config="""
/CrateA Rigidbody.mass=5
/CrateB Rigidbody.mass=8
""")
Spatial Checks
get_spatial_context(path="/Crate", radius=5)
spatial_query(action="nearest", path="/Crate", component="Collider")
spatial_query(action="raycast", path="/Camera", target="/Crate")
validate_triggers(root="/Gameplay", min_distance=2)
NavMesh
navmesh_query is a standalone tool and may report that AI Navigation is not
installed:
navmesh_query(action="status")
navmesh_query(action="get_settings")
navmesh_query(action="set_settings", agentRadius=0.4, agentHeight=1.8, agentClimb=0.4, agentSlope=45.0)
navmesh_query(
action="path",
from_pos="(0,0,0)",
to="(12,0,8)"
)
Use sample before path claims when endpoints may be off-mesh. Use
get_settings and set_settings to inspect and configure agent types.
Treat bake and clear as explicit project mutations, not read-only
analysis.
For bounded cleanup or placement regions, preview first:
region_clear(
vertices="0,0;10,0;10,10;0,10",
filter="Temporary",
dry_run=True,
cap=50
)
Apply only after the preview count and object list match the requested scope.
Rules
- Read Transform, Rigidbody, and collider data before editing.
- Confirm Edit Mode versus Play Mode before interpreting physics state.
- Use bounded runtime waits; never sleep and assume settling completed.
- Validate negative scale, trigger/Rigidbody relationships, and collider size.
- Use
autofit_collideronly after confirming the intended renderer bounds. - Treat screenshots as spatial presentation evidence, not collision proof.
- Read back mass, constraints, trigger state, and bounds after changes.
What ships with it
1 file 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.
- 8d ago First seen · 92 lines · 30 tokens per session scan A 2407feb0a445
unity-physics-spatial is a skill published in the GitHub repository german-krasnikov/unity-biome-mcp (29 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 648 once invoked, about $0.0002 per session on Opus 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.
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