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.
npx skills add HKUDS/CLI-Anything --skill cli-anything-cloudanalyzer -a claude-codeWhat 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.pcdand report the point-cloud evaluation.” - “Create
cloudanalyzer.yamlwith the integrated profile usingcli-anything-cloudanalyzer check init cloudanalyzer.yaml --profile integrated.” - “Evaluate
est.csvagainstgt.csvand 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-code2Manually: put the files in place
~/.claude/skills/cli-anything-cloudanalyzer/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/cli-anything-cloudanalyzer/
1Skills CLI (Vercel)
npx skills add HKUDS/CLI-Anything --skill cli-anything-cloudanalyzer -a codex2Manually: put the files in place
.agents/skills/cli-anything-cloudanalyzer/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add HKUDS/CLI-Anything --skill cli-anything-cloudanalyzer -a cursor2Manually: put the files in place
.cursor/skills/cli-anything-cloudanalyzer/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install HKUDS/CLI-Anything cli-anything-cloudanalyzer2Manually: put the files in place
.github/skills/cli-anything-cloudanalyzer/SKILL.md1Skills CLI (Vercel)
npx skills add HKUDS/CLI-Anything --skill cli-anything-cloudanalyzer -a gemini-cli2Platform CLI
gemini skills install https://github.com/HKUDS/CLI-Anything --path skills/cli-anything-cloudanalyzerManually: put the files in place
.devin/skills/cli-anything-cloudanalyzer/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add HKUDS/CLI-Anything --skill cli-anything-cloudanalyzer -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
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