Antv L7
antvis/L7
Comprehensive guide for AntV L7 geospatial visualization library.
A skill your agent uses when validating GeoPandas outputs, using geopandas.testing assertions, designing fixtures, or selecting focused GeoPandas repository tests.
Install Validation Testing
$ npx skills add VectorSpaceLab/AREX-Skill --skill validation-testing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill validation-testing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/geopandas/sub-skills/validation-testing .claude/skills/validation-testing && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "validation-testing" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/validation-testing into .claude/skills/validation-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "validation-testing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/validation-testingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add VectorSpaceLab/AREX-Skill --skill validation-testing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill validation-testing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/geopandas/sub-skills/validation-testing .agents/skills/validation-testing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "validation-testing" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/validation-testing into .agents/skills/validation-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "validation-testing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill validation-testing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill validation-testing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/geopandas/sub-skills/validation-testing .cursor/skills/validation-testing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "validation-testing" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/validation-testing into .cursor/skills/validation-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "validation-testing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/geopandas/sub-skills/validation-testing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add VectorSpaceLab/AREX-Skill --skill validation-testing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill validation-testing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/geopandas/sub-skills/validation-testing .gemini/skills/validation-testing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "validation-testing" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/validation-testing into .gemini/skills/validation-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "validation-testing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install VectorSpaceLab/AREX-Skill validation-testingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add VectorSpaceLab/AREX-Skill --skill validation-testing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/geopandas/sub-skills/validation-testing .github/skills/validation-testing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "validation-testing" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/validation-testing into .github/skills/validation-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "validation-testing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill validation-testing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill validation-testing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/geopandas/sub-skills/validation-testing .opencode/skills/validation-testing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "validation-testing" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/validation-testing into .opencode/skills/validation-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "validation-testing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
validation-testing- GitHub stars
- 328
- Token cost
- ~809 tokens
- SKILL.md length
- 324 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 159
- Repo updated
- First seen
- Licence
- BSD-3-Clause
At a glance
A skill your agent uses when validating GeoPandas outputs, using geopandas.testing assertions, designing fixtures, or selecting focused GeoPandas repository tests.
- Works in 6 steps: Prefer geopandas.testing helpers over… → Choose equality flags deliberately: CRS,… → Keep fixtures tiny, explicit, and… → …
- Validating GeoPandas outputs
- SKILL.md covers Read First, Route Here When, Route Elsewhere and Default Operating Rules, plus 2 more sections
- Runs Python scripts from its folder; calls python
What it does
Validation Testing is an agent skill from VectorSpaceLab/AREX-Skill. Use when validating GeoPandas outputs, using geopandas.testing assertions, designing fixtures, or selecting focused GeoPandas repository tests.
Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/maintainer-workflows.md`, `references/testing-reference.md` and `references/troubleshooting.md`).
It sits in Data & Analytics, covering Geospatial analysis. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is BSD-3-Clause.
When your agent uses it
- Validating GeoPandas outputs
- Using geopandas.testing assertions
- Designing fixtures
- Selecting focused GeoPandas repository tests
Example prompts
- “/validation-testing”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Prefer geopandas.testing helpers over raw pandas equality for geometry-aware objects.
- Choose equality flags deliberately: CRS, index type/order, geometry type, coordinate tolerance, and column order can all matter…
- Keep fixtures tiny, explicit, and CRS-labeled.
- When testing optional workflows, distinguish missing optional dependency skips from real failures.
- Avoid full test-suite runs unless the user asks and the environment has the needed optional/service dependencies.
- For repository maintenance, start with focused tests around changed behavior, then broaden only when failures or risk justify it.
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Validation Testing loads about 809 tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 41 tokens; SKILL.md has 324 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its BSD-3-Clause licence (© VectorSpaceLab). 324 words, ~809 tokens.
Download SKILL.mdSave it as
.claude/skills/validation-testing/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- validation-testing
- description
- Use when validating GeoPandas outputs, using geopandas.testing assertions, designing fixtures, or selecting focused GeoPandas repository tests.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- BSD 3-Clause
Validation and Testing
Use this sub-skill when the task is about proving GeoPandas results are correct, writing assertions for geometry-aware outputs, or maintaining/testing the GeoPandas repository.
Read First
- Testing reference:
geopandas.testingassertion helper behavior, equality options, fixture design, and output comparison patterns. - Maintainer workflows: focused test selection, optional dependency awareness, contributor-oriented checks, and when not to run expensive/service tests.
- Troubleshooting: assertion mismatches, CRS/index/order differences, optional dependency skips, and service/network test boundaries.
- geopandas_assertion_demo.py: tiny demonstration of
assert_geodataframe_equaland deliberate mismatch handling.
Route Here When
- The user asks how to compare two
GeoDataFrameorGeoSeriesobjects in tests. - The task mentions
geopandas.testing.assert_geodataframe_equal,assert_geoseries_equal, geometry equality tolerance, CRS/index checking, or expected output fixtures. - The user is editing the GeoPandas repository and needs focused pytest commands or optional-dependency triage.
- A result from
core-data-model,io-formats,spatial-operations, ormapping-geocodingneeds assertion-backed validation.
Route Elsewhere
- Use
../core-data-model/SKILL.mdfor object construction and CRS semantics. - Use
../io-formats/SKILL.mdfor I/O workflow behavior before asserting round trips. - Use
../spatial-operations/SKILL.mdfor analysis logic before comparing outputs. - Use
../mapping-geocoding/SKILL.mdfor plot/geocoding optional dependencies before validation.
Default Operating Rules
- Prefer
geopandas.testinghelpers over raw pandas equality for geometry-aware objects. - Choose equality flags deliberately: CRS, index type/order, geometry type, coordinate tolerance, and column order can all matter differently by task.
- Keep fixtures tiny, explicit, and CRS-labeled.
- When testing optional workflows, distinguish missing optional dependency skips from real failures.
- Avoid full test-suite runs unless the user asks and the environment has the needed optional/service dependencies.
- For repository maintenance, start with focused tests around changed behavior, then broaden only when failures or risk justify it.
Minimal Check
python scripts/geopandas_assertion_demo.pyExpected high-level signal: the script passes equal GeoDataFrame assertions, catches an intentional CRS mismatch, and reports the assertion helper behavior.
Handoff
- Use this sub-skill at the end of a workflow to turn expected GeoPandas outputs into assertions.
- For production verification of this generated skill, pair its scripts with selected native tests and integration cases from the review artifacts.
© VectorSpaceLab, BSD-3-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references) in skills/repositories/repo-skills/geopandas/sub-skills/validation-testing of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/maintainer-workflows.md
- references/testing-reference.md
- references/troubleshooting.md
- scripts/geopandas_assertion_demo.py
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Validation Testing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Validation Testing this skillVectorSpaceLab/AREX-Skill | 328 | — | ~809 | Automated safety check: Pass | BSD-3-Clause | |
| Antv L7antvis/L7 | 4.1k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Thematic Mapzzhonglei/GeoCode-Release | 186 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Rs Paper Pipelinethinson/RS-PaperClaw | 225 | — | ~319 | Automated safety check: Pass | MIT | |
| Remote Sensing Research Radarlimi124/remote-sensing-research-radar | 141 | — | ~1.3k | Automated safety check: Pass | None | |
| Portaljs Add Geodatopian/portaljs | 2.4k | — | ~1.7k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Validation Testing
What does Validation Testing do?
A skill your agent uses when validating GeoPandas outputs, using geopandas.testing assertions, designing fixtures, or selecting focused GeoPandas repository tests. Validation Testing is an agent skill from VectorSpaceLab/AREX-Skill.testing assertions, designing fixtures, or selecting focused GeoPandas repository tests.
When should I use Validation Testing?
Validation Testing fits situations like: validating GeoPandas outputs; using geopandas.testing assertions; designing fixtures; selecting focused GeoPandas repository tests.
How do I install Validation Testing in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill validation-testing -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/geopandas/sub-skills/validation-testing in VectorSpaceLab/AREX-Skill) into .claude/skills/validation-testing in your project. Claude Code loads it when a task matches its description.
How do I install Validation Testing in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill validation-testing -a codex`. Or copy the skill folder (skills/repositories/repo-skills/geopandas/sub-skills/validation-testing in VectorSpaceLab/AREX-Skill) into .agents/skills/validation-testing in your project. Codex loads it when a task matches its description.
Can I use Validation Testing in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill validation-testing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/validation-testing, .gemini/skills/validation-testing, .github/skills/validation-testing and .opencode/skills/validation-testing in your project.
What does Validation Testing need to run?
Going by SKILL.md and its folder, Validation Testing needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Validation Testing access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Validation Testing safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Validation Testing use?
Validation Testing is published under the BSD-3-Clause licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Validation Testing use?
About 809 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.
What are the alternatives to Validation Testing?
Skills that share tags, products or a category with Validation Testing: Antv L7 (antvis/L7, 4.1k stars), Thematic Map (zzhonglei/GeoCode-Release, 186 stars), Rs Paper Pipeline (thinson/RS-PaperClaw, 225 stars) and Remote Sensing Research Radar (limi124/remote-sensing-research-radar, 141 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Validation Testing?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.