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cli-anything-cloudanalyzer — Claude Code skill

Runs CloudAnalyzer checks for point clouds, trajectories, and ground segmentation. Use it when an agent needs QA thresholds or point-cloud processing from the terminal.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add HKUDS/CLI-Anything --skill cli-anything-cloudanalyzer -a claude-code
Open on GitHub

What cli-anything-cloudanalyzer does

This skill exposes the CloudAnalyzer CLI to an agent for comparing point clouds with references, evaluating trajectories, and checking ground segmentation. It can return Chamfer, F1, AUC, Hausdorff, ATE, RPE, and related results; --json formats output for agent processing.

Its commands cover evaluation, processing, inspection, metadata, baselines, and sessions. The CLI can downsample, filter, merge, tile, and convert point clouds, generate cloudanalyzer.yaml, run a QA gate, then save a summary into baseline history.

It requires Python 3.10+ and CloudAnalyzer, installed with pip install cloudanalyzer. Check that environment first, because the harness depends on CloudAnalyzer.

What it helps with

  • compare a point cloud against a reference
  • enforce trajectory quality thresholds
  • measure ground segmentation with F1 and IoU
  • generate a QA configuration file
  • downsample or convert point-cloud files

Example prompts for the agent

  • “Run cli-anything-cloudanalyzer --json evaluate run output.pcd reference.pcd and report the point-cloud evaluation.”
  • “Create cloudanalyzer.yaml with the integrated profile using cli-anything-cloudanalyzer check init cloudanalyzer.yaml --profile integrated.”
  • “Evaluate est.csv against gt.csv and apply limits for ATE and lateral error.”

How to install cli-anything-cloudanalyzer

1Skills CLI (Vercel)

npx skills add HKUDS/CLI-Anything --skill cli-anything-cloudanalyzer -a claude-code

2Manually: put the files in place

~/.claude/skills/cli-anything-cloudanalyzer/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/cli-anything-cloudanalyzer/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about cli-anything-cloudanalyzer

How do I install cli-anything-cloudanalyzer in Claude Code?

Run npx skills add HKUDS/CLI-Anything --skill cli-anything-cloudanalyzer -a claude-code, then run npx skills add HKUDS/CLI-Anything --skill cli-anything-cloudanalyzer -a claude-code again. The skill file is at ~/.claude/skills/cli-anything-cloudanalyzer/SKILL.md.

What does cli-anything-cloudanalyzer do?

It lets an agent run CloudAnalyzer commands for point-cloud, trajectory, and ground-segmentation QA. It also supports point-cloud processing, QA configuration, and baseline history.

What is required to run CloudAnalyzer commands?

You need Python 3.10+ and CloudAnalyzer. Install the package with pip install cloudanalyzer.

Source text

SKILL.md · Apache-2.0
---
name: "cli-anything-cloudanalyzer"
description: "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](https://github.com/rsasaki0109/CloudAnalyzer) — a QA platform for mapping, localization, and perception point cloud outputs.

**27 commands** across 8 groups.

## Installation

```bash
pip install cli-anything-cloudanalyzer
```

**Prerequisites:**
- Python 3.10+
- CloudAnalyzer: `pip install cloudanalyzer`

## Global Options

```bash
cli-anything-cloudanalyzer [--project FILE] [--json] COMMAND [ARGS]...
```

| Option | Description |
|---|---|
| `-p, --project TEXT` | Path to project JSON file |
| `--json` | Output 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).

```bash
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.

```bash
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.

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

#### evaluate batch
Batch evaluation of multiple point clouds against a reference.

```bash
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).

```bash
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`

#### evaluate pipeline
Filter, downsample, evaluate in one command.

```bash
cli-anything-cloudanalyzer evaluate pipeline input.pcd reference.pcd -o output.pcd
```

---

### 2. trajectory — Trajectory Evaluation (3 commands)

#### trajectory evaluate
Evaluate estimated vs reference trajectory (ATE, RPE, drift, lateral, longitudinal).

```bash
cli-anything-cloudanalyzer --json trajectory evaluate est.csv gt.csv --max-ate 0.5 --max-lateral 0.3
```

Options: `--max-ate FLOAT`, `--max-rpe FLOAT`, `--max-drift FLOAT`, `--min-coverage FLOAT`, `--max-lateral FLOAT`, `--max-longitudinal FLOAT`, `--align-origin`, `--align-rigid`

#### trajectory batch
Batch trajectory evaluation.

```bash
cli-anything-cloudanalyzer trajectory batch runs/ --reference-dir gt/ --max-drift 1.0
```

#### trajectory run-evaluate
Integrated map + trajectory evaluation.

```bash
cli-anything-cloudanalyzer trajectory run-evaluate map.pcd map_ref.pcd traj.csv traj_ref.csv
```

Options: `--min-auc FLOAT`, `--max-ate FLOAT`

---

### 3. check — Config-Driven Quality Gate (2 commands)

#### check run
Run unified QA from a config file.

```bash
cli-anything-cloudanalyzer --json check run cloudanalyzer.yaml
```

Options: `--output-json TEXT`

#### check init
Generate a starter config file.

```bash
cli-anything-cloudanalyzer check init cloudanalyzer.yaml --profile integrated
```

Options: `--profile TEXT` (mapping/localization/perception/integrated), `--force`

---

### 4. baseline — Baseline Evolution (3 commands)

#### baseline decision
Decide whether to promote, keep, or reject a candidate baseline.

```bash
cli-anything-cloudanalyzer --json baseline decision qa/summary.json --history-dir qa/history/
```

Options: `--history TEXT` (repeatable), `--history-dir TEXT`, `--output-json TEXT`

#### baseline save
Save a QA summary to the history directory.

```bash
cli-anything-cloudanalyzer baseline save qa/summary.json --history-dir qa/history/ --keep 10
```

Options: `--history-dir TEXT`, `--label TEXT`, `--keep INTEGER`

#### baseline list
List saved baselines.

```bash
cli-anything-cloudanalyzer --json baseline list --history-dir qa/history/
```

---

### 5. process — Point Cloud Processing (6 commands)

#### process downsample
Voxel grid downsampling.

```bash
cli-anything-cloudanalyzer process downsample cloud.pcd -o down.pcd -v 0.05
```

#### process sample
Random point sampling.

```bash
cli-anything-cloudanalyzer process sample cloud.pcd -o sampled.pcd -n 10000
```

#### process filter
Statistical outlier removal.

```bash
cli-anything-cloudanalyzer process filter cloud.pcd -o filtered.pcd
```

#### process split
Split point cloud into grid tiles (writes metadata.yaml).

```bash
cli-anything-cloudanalyzer process split large.pcd -o tiles/ -g 100
```

#### process merge
Merge multiple point clouds.

```bash
cli-anything-cloudanalyzer process merge a.pcd b.pcd -o merged.pcd
```

#### process convert
Convert between point cloud formats.

```bash
cli-anything-cloudanalyzer process convert input.las -o output.pcd
```

---

### 6. inspect — Visualization (3 commands)

#### inspect view
Open a point cloud viewer.

```bash
cli-anything-cloudanalyzer inspect view cloud.pcd
```

#### inspect web
Interactive browser inspection.

```bash
cli-anything-cloudanalyzer inspect web map.pcd ref.pcd --heatmap
```

#### inspect web-export
Export a static HTML inspection bundle.

```bash
cli-anything-cloudanalyzer inspect web-export map.pcd ref.pcd -o bundle/
```

---

### 7. info — Metadata (2 commands)

#### info show
Show point cloud metadata.

```bash
cli-anything-cloudanalyzer --json info show cloud.pcd
```

#### info version
Show CloudAnalyzer version.

---

### 8. session — Session Management (2 commands)

#### session new
Create a new harness project JSON file.

```bash
cli-anything-cloudanalyzer session new -o project.json -n my-run
```

#### session history
Show recent operations for the project given with `-p` / `--project`.

```bash
cli-anything-cloudanalyzer --project project.json session history --last 20
```

---

## Typical Agent Workflows

### Workflow 1: Evaluate and gate a point cloud

```bash
cli-anything-cloudanalyzer --json evaluate run output.pcd reference.pcd
```

### Workflow 2: Config-driven QA pipeline

```bash
cli-anything-cloudanalyzer check init cloudanalyzer.yaml --profile integrated
cli-anything-cloudanalyzer --json check run cloudanalyzer.yaml
```

### Workflow 3: Baseline management

```bash
cli-anything-cloudanalyzer --json check run cloudanalyzer.yaml --output-json qa/summary.json
cli-anything-cloudanalyzer baseline save qa/summary.json --history-dir qa/history/
cli-anything-cloudanalyzer --json baseline decision qa/summary.json --history-dir qa/history/
```

### Workflow 4: Ground segmentation QA

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

© HKUDS · Apache-2.0 · HKUDS/CLI-Anything

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