Skills

CLI Anything Cloudanalyzer

Command-line interface for CloudAnalyzer, Agent-friendly harness for CloudAnalyzer, a...

Install

npx skills add HKUDS/CLI-Anything --skill cli-anything-cloudanalyzer -g -a claude-code -y
Repository
HKUDS/CLI-Anything58k
Category
Testing
Updated
1mo ago
License
Apache-2.0
Context cost
Mediumabout 1,710 tokens
Runs scripts
No, instructions only

What it does

Command-line interface for CloudAnalyzer, Agent-friendly harness for CloudAnalyzer, a QA platform for mapping, localization, and perception outputs. Supports 27 commands across 8 groups: point cloud evaluation, trajectory evaluation, ground segmentation QA, config-driven quality gates, baseline evolution, processing, visualization, and interactive REPL.

cli-anything-cloudanalyzer

Agent-friendly command-line harness for CloudAnalyzer, a QA platform for mapping, localization, and perception point cloud outputs.

27 commands across 8 groups.

Installation

pip install cli-anything-cloudanalyzer

Prerequisites:

  • Python 3.10+
  • CloudAnalyzer: pip install cloudanalyzer

Global Options

cli-anything-cloudanalyzer [--project FILE] [--json] COMMAND [ARGS]...
OptionDescription
-p, --project TEXTPath to project JSON file
--jsonOutput results as JSON (for agent consumption)

Command Groups

1. evaluate, Point Cloud Evaluation (6 commands)

evaluate run

Evaluate a point cloud against a reference (Chamfer, F1, AUC, Hausdorff).

cli-anything-cloudanalyzer evaluate run source.pcd reference.pcd
cli-anything-cloudanalyzer --json evaluate run source.pcd reference.pcd

Options: --plot TEXT, --threshold FLOAT

evaluate compare

Compare two point clouds with optional registration.

cli-anything-cloudanalyzer evaluate compare src.pcd tgt.pcd --register gicp

Options: --register TEXT (icp/gicp/none)

evaluate diff

Quick distance statistics between two point clouds.

cli-anything-cloudanalyzer evaluate diff a.pcd b.pcd --threshold 0.1

evaluate batch

Batch evaluation of multiple point clouds against a reference.

cli-anything-cloudanalyzer --json evaluate batch results/ reference.pcd --min-auc 0.95

Options: --min-auc FLOAT, --max-chamfer FLOAT

evaluate ground

Evaluate ground segmentation quality (precision, recall, F1, IoU).

cli-anything-cloudanalyzer --json evaluate ground est_ground.pcd est_ng.pcd ref_ground.pcd ref_ng.pcd --min-f1 0.9

Options: --voxel-size FLOAT, --min-precision FLOAT, --min-recall FLOAT, --min-f1 FLOAT, --min-iou FLOAT

Read the whole SKILL.md on GitHub

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