Cli Anything Cloudanalyzer logo

Cli Anything Cloudanalyzer

OrganizationPopular
HKUDS
cli-anything-cloudanalyzer

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.

Overview

PublisherHKUDS
RepositoryCLI-Anything
Skill namecli-anything-cloudanalyzer
Stars
49.5K
Forks
4.6K
Bundled files
Instructions only
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by HKUDS on GitHub. Read the source before you install it.

Installation

Install the Cli Anything Cloudanalyzer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/HKUDS/CLI-Anything.git /tmp/CLI-Anything
mkdir -p .claude/skills
cp -r /tmp/CLI-Anything/cloudanalyzer/agent-harness/cli_anything/cloudanalyzer/skills .claude/skills/cli-anything-cloudanalyzer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cli Anything Cloudanalyzer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cli Anything Cloudanalyzer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cli Anything Cloudanalyzer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

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]...
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).

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

Frequently asked questions

What does the Cli Anything Cloudanalyzer AI skill do?

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.

Why use Cli Anything Cloudanalyzer on TypingMind?

Because you install it once and use it with any model. Cli Anything Cloudanalyzer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cli Anything Cloudanalyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HKUDS/CLI-Anything/tree/main/cloudanalyzer/agent-harness/cli_anything/cloudanalyzer/skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cli Anything Cloudanalyzer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cli Anything Cloudanalyzer?

As many as you like. As long as a model supports skills, you can use Cli Anything Cloudanalyzer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cli Anything Cloudanalyzer AI skill free?

Yes. It is published on GitHub by HKUDS under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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