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 jenkinsm13/metashape-mcp --skill sky-artifact-preventiongit clone --depth 1 https://github.com/jenkinsm13/metashape-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/jenkinsm13/metashape-mcp/sky-artifact-prevention)<a href="https://agentmods.dev/skills/jenkinsm13/metashape-mcp/sky-artifact-prevention"><img src="https://agentmods.dev/badge/skills/jenkinsm13/metashape-mcp/sky-artifact-prevention/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/jenkinsm13/metashape-mcp/sky-artifact-prevention"><img src="https://agentmods.dev/badge/skills/jenkinsm13/metashape-mcp/sky-artifact-prevention.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 | $0.00051 | $0.02243 |
| Opus 5 | $0.00026 | $0.01122 |
| Sonnet 5 | $0.00010 | $0.00449 |
| Haiku 4.5 | $0.00005 | $0.00224 |
Grade A, and why
sky-artifact-prevention 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 12d 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 — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sky Artifact Prevention for Road Corridors
The Problem
Metashape's mesh generation creates "tunnel" or "dome" artifacts over road corridors. Even with proper sky masks:
- Depth maps ignore masks during mesh interpolation
- Interpolation fills gaps between opposite sides of the road, creating a closed surface overhead
- This produces tunnel effects, flashing artifacts, and enclosed environments where open sky should be
This is Metashape's most well-known limitation for road corridor captures. There is no single fix — use a combination of strategies.
When to Use
- Building mesh from road corridor captures
- Any long linear capture where sky/overhead closure is a problem
- After mesh building, if tunnel artifacts are visible
- When planning the dense reconstruction strategy (choose BEFORE building)
Strategy Overview
Five strategies, ordered by effectiveness for road corridors:
| # | Strategy | When to Apply | Effectiveness |
|---|---|---|---|
| 1 | Point cloud source | Before mesh build | Best — avoids the problem entirely |
| 2 | Height field mode | Before mesh build | Good for flat terrain, loses vertical surfaces |
| 3 | Point cloud classification | Before mesh build | Good — requires classification step |
| 4 | Region cropping | Before mesh build | Moderate — simple but crude |
| 5 | Post-mesh cleanup | After mesh build | Fallback — fixes what got through |
Recommended combination: Strategy 1 + 3 + 5 (point cloud source, with ground classification, followed by cleanup).
Strategy 1: Build Mesh from Point Cloud (Not Depth Maps)
Why it works: Point cloud generation DOES respect masks. If sky is masked, no points exist in the sky → no mesh in the sky. Depth map interpolation is what creates the tunnel — bypassing it avoids the problem.
# Step 1: Build point cloud with masks active
build_point_cloud(
point_colors=True,
point_confidence=True
)
# Step 2: Build mesh from point cloud
build_model(
surface_type="arbitrary",
source_data="point_cloud",
interpolation="enabled",
vertex_colors=True
)
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.
- 12d ago First seen · 269 lines · 51 tokens per session scan A f48a7166e726
sky-artifact-prevention is a skill published in the GitHub repository jenkinsm13/metashape-mcp (34 stars, last pushed 4mo ago), licensed MIT. It adds 51 tokens to every session and 2,243 once invoked, about $0.0003 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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