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 agentmods add skills/jenkinsm13/metashape-mcp/batch-exportnpx skills add jenkinsm13/metashape-mcp --skill batch-exportgit 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/batch-export)<a href="https://agentmods.dev/skills/jenkinsm13/metashape-mcp/batch-export"><img src="https://agentmods.dev/badge/skills/jenkinsm13/metashape-mcp/batch-export.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.00323 |
| Opus 5 | $0.00020 | $0.00161 |
| Sonnet 5 | $0.00008 | $0.00065 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
batch-export 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 6d 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.
What it actually says
Batch Export
Export all available processing results from the active Metashape chunk.
Workflow
- Check available products: Use
get_model_statsandget_point_cloud_statsto see what exists - Export each product that is available to the user-specified output folder:
- Point Cloud:
export_point_cloud(path, format="laz") - Model:
export_model(path, format="obj", save_texture=True) - DEM:
export_dem(path, format="tif") - Orthomosaic:
export_orthomosaic(path, format="tif") - Tiled Model:
export_tiled_model(path, format="cesium") - Report:
export_report(path)(PDF) - Cameras:
export_cameras(path, format="xml")
- Point Cloud:
- Skip products that don't exist — don't error on missing data
- Report file sizes after each export
Rules
- Ask the user for the output folder before starting
- Save the project before exporting:
save_project() - If the user specifies particular formats (e.g. "just the DEM and ortho"), only export those
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.
- 6d ago First seen · 30 lines · 40 tokens per session scan A 41b3ddfabd97
batch-export is a skill published in the GitHub repository jenkinsm13/metashape-mcp (33 stars, last pushed 4mo ago), licensed MIT. It adds 40 tokens to every session and 323 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.
Other skills, from other repositories
3dgs-experiment-planner
Design rigorous experiments for 3DGS research papers. Recommends datasets, baselines, metrics, ablation matrices. Targets CVPR/ICCV/ECCV/SIGGRAPH/TVCG. Use when: designing experiments for a 3DGS paper, selecting datasets/baselines/metrics, planning ablation studies, addressing reviewer concerns on experiments…
3dgs-visualizer
Generate publication-quality visualizations for 3DGS research: radar charts, comparison tables, method timelines. Static (PDF/PNG) and interactive (HTML) output. Use when: creating comparison charts for 3DGS papers, visualizing method capabilities, generating method timelines or radar plots, 3DGS可视化/论文配图/方法对比图表.
3dgs-paper-reader
Read and summarize 3DGS research papers. Extracts method architecture, innovations, experimental results from arXiv or local PDFs. Structured output with tables. Knowledge of 819+ methods across 23 categories. Use when: reading or analyzing a 3DGS/NeRF paper, extracting method details from arXiv PDF, summarizing 3D…
cg-paper-writing
Academic paper writing for 3D vision, computer graphics, CAD, and 3D understanding. Covers NeRF, 3DGS, SLAM, point cloud, 3D shape, CAD modeling. Supports CVPR/ICCV/ECCV/SIGGRAPH venues. Multi-agent adversarial review, citation integrity gates, style calibration. Use when: writing or revising a CG/3D vision paper…
3dgs-engineering-guide
Guide for deploying 3DGS from research to production: 10 industry verticals, engineering stack, GIS toolchain solutions, cross-platform deployment, and common pitfalls. References 819+ methods. Use when: deploying 3DGS to production or industry, selecting tools/pipeline/platform, troubleshooting engineering problems…
3dgs-method-compare
Compare 3D Gaussian Splatting variants across 11 dimensions. Built-in knowledge of 819+ methods across 23 categories. Supports axis-driven fragment loading for efficient context usage. Use when: comparing 3DGS methods or variants, analyzing trade-offs between Gaussian Splatting approaches, generating comparison tables…