Robotics Testing
arpitg1304/robotics-agent-skills
Testing strategies, patterns, and tools for robotics software.
Set up and run SITL integration tests for backendflightcontroller.py.
$ npx skills add ArduPilot/MethodicConfigurator --skill sitl-testing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ArduPilot/MethodicConfigurator sitl-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/ArduPilot/MethodicConfigurator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/sitl-testing .claude/skills/sitl-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 "sitl-testing" agent skill from https://github.com/ArduPilot/MethodicConfigurator/tree/master/.github/skills/sitl-testing into .claude/skills/sitl-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sitl-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/ArduPilot/MethodicConfigurator/tree/master/.github/skills/sitl-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 ArduPilot/MethodicConfigurator --skill sitl-testing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ArduPilot/MethodicConfigurator sitl-testing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArduPilot/MethodicConfigurator.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/sitl-testing .agents/skills/sitl-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 "sitl-testing" agent skill from https://github.com/ArduPilot/MethodicConfigurator/tree/master/.github/skills/sitl-testing into .agents/skills/sitl-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sitl-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 ArduPilot/MethodicConfigurator --skill sitl-testing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ArduPilot/MethodicConfigurator sitl-testing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArduPilot/MethodicConfigurator.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/sitl-testing .cursor/skills/sitl-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 "sitl-testing" agent skill from https://github.com/ArduPilot/MethodicConfigurator/tree/master/.github/skills/sitl-testing into .cursor/skills/sitl-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sitl-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/ArduPilot/MethodicConfigurator.git --path .github/skills/sitl-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 ArduPilot/MethodicConfigurator --skill sitl-testing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ArduPilot/MethodicConfigurator sitl-testing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArduPilot/MethodicConfigurator.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/sitl-testing .gemini/skills/sitl-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 "sitl-testing" agent skill from https://github.com/ArduPilot/MethodicConfigurator/tree/master/.github/skills/sitl-testing into .gemini/skills/sitl-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sitl-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 ArduPilot/MethodicConfigurator sitl-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 ArduPilot/MethodicConfigurator --skill sitl-testing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ArduPilot/MethodicConfigurator.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/sitl-testing .github/skills/sitl-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 "sitl-testing" agent skill from https://github.com/ArduPilot/MethodicConfigurator/tree/master/.github/skills/sitl-testing into .github/skills/sitl-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sitl-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 ArduPilot/MethodicConfigurator --skill sitl-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 ArduPilot/MethodicConfigurator sitl-testing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArduPilot/MethodicConfigurator.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/sitl-testing .opencode/skills/sitl-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 "sitl-testing" agent skill from https://github.com/ArduPilot/MethodicConfigurator/tree/master/.github/skills/sitl-testing into .opencode/skills/sitl-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sitl-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.
sitl-testingSet up and run SITL integration tests for backendflightcontroller.py.
Sitl Testing is an agent skill from ArduPilot/MethodicConfigurator. Set up and run SITL integration tests for backendflightcontroller.py. Use when testing real MAVLink communication, downloading pre-built SITL binaries from firmware.ardupilot.org, running sitl-marked pytest tests, or debugging connection failures on TCP port 5760.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering Unit testing, Integration testing and CI/CD. It works with pytest. The repository describes itself as: A clear ArduPilot configuration sequence. The licence is GPL-3.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1a6392c. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
firmware.ardupilot.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Sitl Testing loads about 1.7k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 584 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.
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); files beside SKILL.md are not scanned.
The full file from ArduPilot/MethodicConfigurator at commit 1a6392c, republished under its GPL-3.0 licence (© ArduPilot). 584 words, ~1,661 tokens.
.claude/skills/sitl-testing/SKILL.md (or your agent's skills folder).This document describes how to set up and run integration tests using ArduPilot SITL (Software In The Loop) for testing the backend_flightcontroller.py module.
SITL testing provides real MAVLink communication validation instead of mocked tests. This ensures the flight controller backend works correctly with actual ArduPilot firmware.
The SITL testing setup consists of:
firmware.ardupilot.org)sitl/copter.parm with battery monitoring enabledDownload the latest pre-built SITL binary directly from the official ArduPilot firmware server:
./scripts/run_sitl_tests.sh downloadThis downloads ArduCopter SITL from https://firmware.ardupilot.org/Copter/latest/SITL_x86_64_linux_gnu/arducopter
SITL tests run automatically in GitHub Actions when SITL artifacts are available. The test workflow:
@pytest.mark.sitlUse the provided script for local SITL testing. You can either download pre-built SITL or use a locally built version:
On some Linux systems, run the commands through the project .venv and
xvfb-run because the shared test fixtures import GUI libraries:
PATH="$PWD/.venv/bin:$PATH" xvfb-run -a ./scripts/run_sitl_tests.sh test# Download ArduCopter SITL from official firmware server
./scripts/run_sitl_tests.sh download
# Download and run tests in one command
PATH="$PWD/.venv/bin:$PATH" xvfb-run -a ./scripts/run_sitl_tests.sh download-test
# Check if downloaded SITL is available
./scripts/run_sitl_tests.sh check# Set up environment for locally built SITL
export ARDUPILOT_DIR="$HOME/ardupilot-sitl"
# Check if locally built SITL is available
./scripts/run_sitl_tests.sh check
# Set up SITL for testing
./scripts/run_sitl_tests.sh setup
# Run SITL integration tests
PATH="$PWD/.venv/bin:$PATH" xvfb-run -a ./scripts/run_sitl_tests.sh test# Clean up SITL processes and cache
./scripts/run_sitl_tests.sh cleanup
# Show help
./scripts/run_sitl_tests.sh helpRun specific SITL tests:
# Run all SITL tests
SITL_BINARY="$PWD/sitl/arducopter" PATH="$PWD/.venv/bin:$PATH" \
xvfb-run -a python -m pytest tests/test_backend_flightcontroller_sitl.py -v
# Run only SITL tests (skip if SITL unavailable)
SITL_BINARY="$PWD/sitl/arducopter" PATH="$PWD/.venv/bin:$PATH" \
xvfb-run -a python -m pytest -m sitl -v
# Run SITL tests or fallback to mocked tests
SITL_BINARY="$PWD/sitl/arducopter" PATH="$PWD/.venv/bin:$PATH" \
xvfb-run -a python -m pytest -m "sitl or not sitl" -vThe direct pytest commands require SITL_BINARY because the test fixture does
not discover sitl/arducopter on its own. The run_sitl_tests.sh wrapper checks
that path and exports the variable automatically.
SITL tests cover:
SITL runs with the following command line parameters:
arducopter --model quad --home "40.071374,-105.229930,1440,0" --defaults sitl/copter.parm --sysid 1 --speedup 10Some tests require specific parameters to be set in sitl/copter.parm:
BATT_MONITOR = 4 (Analog voltage and current)BATT_VOLT_PIN = 1BATT_CURR_PIN = 2BATT_VOLT_MULT = 10.0BATT_AMP_PERVOLT = 17.0SITL_BINARY: Path to ArduCopter SITL binary (auto-detected in CI)ARDUPILOT_DIR: Path to ArduPilot directory for local development@pytest.mark.sitl: Marks tests requiring SITL./scripts/run_sitl_tests.sh download to download from ArduPilot website./waf configure --board=sitl && ./waf copterARDUPILOT_DIR environment variable for locally built SITL© ArduPilot, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .github/skills/sitl-testing of ArduPilot/MethodicConfigurator.
Open the folder on GitHubat commit 1a6392c
Sitl 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 |
|---|---|---|---|---|---|---|
| Sitl Testing this skillArduPilot/MethodicConfigurator | 163 | — | ~1.7k | Automated safety check: Pass | GPL-3.0 | |
| Robotics Testingarpitg1304/robotics-agent-skills | 368 | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Megatron Core Testing GuideNVIDIA/Megatron-LM | 18k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Designing TestsCloudAI-X/claude-workflow-v2 | 1.4k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Simple Modern Uvjlevy/simple-modern-uv | 301 | — | ~1.9k | Automated safety check: Pass | MIT | |
| JS-in-HTML Testingliaohch3/claude-tap | 3.3k | — | ~924 | Automated safety check: Pass | MIT |
arpitg1304/robotics-agent-skills
Testing strategies, patterns, and tools for robotics software.
NVIDIA/Megatron-LM
Guide to the Megatron-LM test system: layout, recipe YAML, running and adding unit and functional tests, golden values, marker filters and CI parity.
CloudAI-X/claude-workflow-v2
Designs and implements testing strategies for any codebase. An agent skill from CloudAI-X/claude-workflow-v2.
jlevy/simple-modern-uv
Start, selectively modernize, fully migrate, or update Python projects using simple-modern-uv practices: uv, ruff, BasedPyright, pytest, GitHub Actions CI, and tag-driven PyPI publishing.
liaohch3/claude-tap
Tests JavaScript embedded in an HTML file in two layers: pytest checks of the logic ported to Python, and Playwright runs in a real browser for the DOM.
nginx/kubernetes-ingress
Testing conventions for the NGINX Ingress Controller repo: Go table-driven tests, mandatory snapshot regeneration, Helm tests and Python pytest integration tests.
ArduPilot/MethodicConfigurator
Update existing GUI translations using AI assistance. An agent skill from ArduPilot/MethodicConfigurator.
ArduPilot/MethodicConfigurator
Add a new translation language to the application. An agent skill from ArduPilot/MethodicConfigurator.
ArduPilot/MethodicConfigurator
Validate and update ARCHITECTUREn.md files against actual source code implementation.
ArduPilot/MethodicConfigurator
Analyze the codebase structure and count lines of code by category using cloc.
ArduPilot/MethodicConfigurator
Add, delete, or re-order configuration steps in configurationsteps.json.
ArduPilot/MethodicConfigurator
Write high-quality BDD pytest tests for the ArduPilot Methodic Configurator.
Works with
Categories
Set up and run SITL integration tests for backendflightcontroller.py. Sitl Testing is an agent skill from ArduPilot/MethodicConfigurator.py.
Sitl Testing fits situations like: testing real MAVLink communication; downloading pre-built SITL binaries from firmware.ardupilot.org; running sitl-marked pytest tests; debugging connection failures on TCP port 5760.
Run `npx skills add ArduPilot/MethodicConfigurator --skill sitl-testing -a claude-code`. Or copy the skill folder (.github/skills/sitl-testing in ArduPilot/MethodicConfigurator) into .claude/skills/sitl-testing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ArduPilot/MethodicConfigurator --skill sitl-testing -a codex`. Or copy the skill folder (.github/skills/sitl-testing in ArduPilot/MethodicConfigurator) into .agents/skills/sitl-testing in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ArduPilot/MethodicConfigurator --skill sitl-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/sitl-testing, .gemini/skills/sitl-testing, .github/skills/sitl-testing and .opencode/skills/sitl-testing in your project.
SKILL.md names no scripts, command-line tools or credentials: Sitl Testing is instructions for the agent only. Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: firmware.ardupilot.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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. Review the folder before installing.
Sitl Testing is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Sitl Testing: Robotics Testing (arpitg1304/robotics-agent-skills, 368 stars), Megatron Core Testing Guide (NVIDIA/Megatron-LM, 18k stars), Designing Tests (CloudAI-X/claude-workflow-v2, 1.4k stars) and Simple Modern Uv (jlevy/simple-modern-uv, 301 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ArduPilot (a GitHub organization) maintains it in ArduPilot/MethodicConfigurator, which has 163 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 6, 2026.
Source: ArduPilot/MethodicConfigurator on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.