Megatron GB200 One-Node Test Onboarding
NVIDIA/Megatron-LM
Creates one-node GitHub merge-request variants of existing two-node GB200 functional tests in Megatron-LM, adjusting parallelism settings to fit four GPUs.
Execute QA test plans on Holoscan Sensor Bridge hardware. An agent skill from NVIDIA/skills.
$ npx skills add NVIDIA/skills --skill hsb-test -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills hsb-test --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/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hsb-test .claude/skills/hsb-test && 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 "hsb-test" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/hsb-test into .claude/skills/hsb-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hsb-test", 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/NVIDIA/skills/tree/main/skills/hsb-testType 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 NVIDIA/skills --skill hsb-test -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills hsb-test --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/hsb-test .agents/skills/hsb-test && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hsb-test" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/hsb-test into .agents/skills/hsb-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hsb-test", 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 NVIDIA/skills --skill hsb-test -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills hsb-test --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/hsb-test .cursor/skills/hsb-test && 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 "hsb-test" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/hsb-test into .cursor/skills/hsb-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hsb-test", 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/NVIDIA/skills.git --path skills/hsb-test--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 NVIDIA/skills --skill hsb-test -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills hsb-test --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/hsb-test .gemini/skills/hsb-test && 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 "hsb-test" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/hsb-test into .gemini/skills/hsb-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hsb-test", 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 NVIDIA/skills hsb-testInstalls 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 NVIDIA/skills --skill hsb-test -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/hsb-test .github/skills/hsb-test && 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 "hsb-test" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/hsb-test into .github/skills/hsb-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hsb-test", 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 NVIDIA/skills --skill hsb-test -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills hsb-test --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/hsb-test .opencode/skills/hsb-test && 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 "hsb-test" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/hsb-test into .opencode/skills/hsb-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hsb-test", 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.
hsb-testExecute QA test plans on Holoscan Sensor Bridge hardware. An agent skill from NVIDIA/skills.
Hsb Test is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Execute QA test plans on Holoscan Sensor Bridge hardware. Reads a user-provided test document, filters tests by the user's setup, determines which tests can run automatically, executes them with pass/fail evaluation, and produces a structured test results report.
Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `BENCHMARK.md`, `evals/evals.json` and `references/phase-details.md`).
It sits in Testing & QA, covering Test generation. It works with NVIDIA AI Platform. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 0e0d506. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditMultiEditGrepGlobBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
sshdockerFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use ssh and docker, which can reach the network depending on how they are called.
From 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.
Hsb Test loads about 4.2k tokens when it runs, and up to ~9.8k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 1,639 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 noted patterns worth knowing about, such as sudo or a known installer.
REMOTE_SUDO sudo / sudo -n / "" — default to "sudo" if not set.allowed-tools: Read, Write, Edit, MultiEdit, Grep, Glob, BashAutomated 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 NVIDIA/skills at commit 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 1,639 words, ~4,157 tokens.
.claude/skills/hsb-test/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Use this skill when the user wants to execute a QA test plan against an HSB board and devkit. The skill reads a test document (local file or web link), filters tests to those that can run automatically on the user's specific hardware setup, executes each test with pass/fail evaluation, and produces a comprehensive results report.
This skill assumes the devkit is already set up (SSH, demo container built, host configured, board connected). If setup is not complete, it will offer to invoke /hsb-setup first.
This workflow runs test applications inside the demo container. Only run it when the user explicitly invokes it.
Gate 1 — Read environment variables. Before doing anything else, check these variables and print their resolved values to the user:
SSH_TARGET Remote devkit login (e.g. nvidia@192.168.1.50). Ask the user if not set.
REMOTE_ROOT Remote working directory (e.g. /home/nvidia). Ask the user if not set.
REMOTE_SUDO sudo / sudo -n / "" — default to "sudo" if not set.
REMOTE_SSH_OPTS Additional SSH options (optional).
HSB_PLATFORM Platform hint (optional).SSH_TARGET and REMOTE_ROOT are required. Stop and ask the user for them if either is missing.
Gate 2 — Present the phase plan, ask for the test document, and get confirmation. Before taking any action:
HSB Test — Phase Plan
Phase 0: Verify devkit SSH, board ping, and demo container availability
Phase 1: Obtain test document, confirm setup, build executable test plan
Phase 2: Execute tests, record pass/fail, analyze failures
Phase 3: Produce test results report (with option to save)
Phase 4: Clean up test artifactsIf the user has not provided a test document path or URL, STOP and ask for it — do not proceed to Phase 0 or any phase until the user provides it: Please provide the path or URL to your test document:. If the user has already specified specific tests (e.g., "connectivity checks only"), state which phases will run and which will be skipped, and note that tests will be filtered to the user's platform/board/sensor configuration and classified as automatable vs. manual.
Ask explicitly: Shall I proceed with Phase 0? [Y/n] — do not start Phase 0 until the user confirms.
/hsb-setup to prepare the devkit.examples/ directory to determine which tests can run automatically. Skip manual tests and tests requiring additional equipment. Present the executable test plan for user approval.Reuse the same environment variables from the other HSB skills:
SSH_TARGET for the remote login target (e.g. nvidia@agx-thor-host)REMOTE_ROOT for the remote working directoryREMOTE_SUDO for privileged commandsREMOTE_SSH_OPTS for additional SSH optionsHSB_PLATFORM as an optional platform hintIf these are set, notify the user of these settings and use them without re-asking.
Before Phase 0, print the resolved remote execution settings.
When no valid session state exists, show the full phase plan:
Then execute one phase at a time.
When the session state file (/tmp/.claude_hsb_test_session/state.sh) exists and contains _SESSION_VERIFIED=true, the skill skips Phase 0 and Phase 1 setup confirmation because connectivity, hardware, release repo, platform, and sensor/camera were already verified. Instead, inform the user and jump directly to test plan intake:
Session already verified — skipping connectivity checks.
SSH target: $SSH_TARGET
Release repo: /home/work/holoscan-sensor-bridge (HSB vX.X.X)
Platform: AGX Thor
Board: HSB Lattice | FPGA: XXXX
Sensors: Dual IMX274
Proceeding directly to test plan intake.Then execute:
Phase 0 must be re-run (ignoring the fast path) when:
No such device errors), clear _SESSION_VERIFIED from the session state and re-run Phase 0 before retrying./hsb-test --full, run Phase 0 from scratch.See ## Phase gate below for the full confirmation protocol.
If something fails, do not just dump raw logs. Summarize:
See references/phase-details.md for full step-by-step phase instructions.
Use the same persistent SSH session model as the other HSB skills. Each phase runs as a single SSH heredoc block:
ssh -o BatchMode=yes $REMOTE_SSH_OPTS $SSH_TARGET bash -s <<'REMOTE'
set -e
# restore state from previous phase
source /tmp/.claude_hsb_test_session/state.sh 2>/dev/null || true
cd "${_CLAUDE_CWD:-__REMOTE_ROOT__}"
# phase commands
echo "=== Phase N: description ==="
command1
command2
# save state for next phase (preserves _SESSION_VERIFIED if already set)
_PREV_VERIFIED="${_SESSION_VERIFIED:-}"
mkdir -p /tmp/.claude_hsb_test_session
{
echo "export _CLAUDE_CWD=\"$(pwd)\""
echo "export PATH=\"$PATH\""
echo "export REPO_DIR=\"$REPO_DIR\""
echo "export VERSION=\"$VERSION\""
echo "export HSB_PLATFORM=\"$HSB_PLATFORM\""
echo "export BOARD_TYPE=\"$BOARD_TYPE\""
echo "export SENSORS=\"$SENSORS\""
echo "export FPGA_VERSION=\"$FPGA_VERSION\""
echo "export TEST_PLAN_SOURCE=\"$TEST_PLAN_SOURCE\""
[ "$_PREV_VERIFIED" = "true" ] && echo "export _SESSION_VERIFIED=true"
} > /tmp/.claude_hsb_test_session/state.sh
REMOTEReplace __REMOTE_ROOT__ with the literal value of $REMOTE_ROOT when composing the heredoc.
Test commands run inside the demo container. Use the detached pattern with a named container and a watchdog for timeout enforcement.
Default timeout per test: 120 seconds (2 minutes). Overridden by:
--timeout N on the skill invocation (applies to all tests)After every test run, stop and remove the container. See references/phase-details.md for the cleanup pattern.
Handled by Phase 4. If the workflow is aborted before Phase 4:
docker ps --filter "name=hsb_test_" --format '{{.Names}}' | xargs -r docker stop -t 2 2>/dev/null || true
ssh -o BatchMode=yes $REMOTE_SSH_OPTS $SSH_TARGET "rm -rf /tmp/.claude_hsb_test_session"After completing each phase (Phases 0–3), always prompt the user for confirmation before starting the next phase.
Exception: When --y (auto-approve mode) is active, phase gates are skipped. See "Auto-approve mode (--y)" section.
Exception: Phase 4 (cleanup) runs automatically after Phase 3 without a gate.
Proceed to Phase <N+1> (<phase description>)? [Y/n]All prompts in this skill require explicit typed responses. Never treat a blank or Enter-only input as a selection — re-prompt the user instead.
QA testing paused after Phase N.
You can resume by re-invoking the skill.--help)If $ARGUMENTS contains --help or -h, print the following and stop:
HSB QA Test Runner Skill
USAGE
/hsb-test [OPTIONS]
OPTIONS
--help, -h Show this help message and exit
--verbose Show full raw command output for every phase
--y Auto-approve all phase gates and skip interactive
debugging on test failures. Not recommended — a
confirmation warning is shown before proceeding.
All output is saved to a timestamped log file.
--timeout N Set per-test runtime in seconds (default: 120s).
Tests stop after N seconds or when pass/fail can
be determined, whichever comes first.
--full Force full verification from Phase 0, even if the
session was already verified
ENVIRONMENT VARIABLES (set before invoking the skill)
SSH_TARGET Remote login target (e.g. ubuntu@10.0.0.1)
REMOTE_ROOT Remote working directory
REMOTE_SUDO Privilege escalation: 'sudo', 'sudo -n', or ''
REMOTE_SSH_OPTS Additional SSH options
HSB_PLATFORM Platform hint
WORKFLOW PHASES
Phase 0 Verify board connectivity, demo container readiness,
and user setup (release repo, platform, sensor/camera)
(skipped on repeat runs in the same session)
Phase 1 Obtain test plan, confirm setup, build executable test list
(setup confirmation skipped on repeat runs)
Phase 2 Execute test plan with per-test pass/fail evaluation
Phase 3 Generate and optionally save test results report
Phase 4 Cleanup (automatic)
EXAMPLES
/hsb-test
/hsb-test --verbose
/hsb-test --timeout 60
/hsb-test --y
/hsb-test --y --timeout 60
/hsb-test --full
/hsb-test --help/hsb-test/hsb-test --verbose/hsb-test --timeout 60/hsb-test --timeout 60 --verbose/hsb-test --y/hsb-test --y --timeout 60/hsb-test --full/hsb-test --full --verbose/hsb-test --help--verbose)The skill supports a --verbose flag:
Check whether $ARGUMENTS (the text after the slash command) contains any of: --help / -h, --verbose, --y, --timeout N, or --full (case-insensitive). Strip all flags (and their values) from arguments before further parsing.
When --full is present, ignore any cached session state and run Phase 0 from scratch.
--verbose)--y)The skill supports a --y flag that skips all phase gates and runs the entire workflow from start to finish without waiting for user confirmation between phases. This is not recommended for QA testing.
When --y is detected, display a warning and ask the user to confirm:
⚠ WARNING: Auto-approve mode (--y) is enabled.
This is NOT RECOMMENDED for QA testing. All phase gates will be skipped
and the entire test plan will execute without pausing for your
confirmation between phases or tests.
You will not be able to review intermediate results, intervene on
failures, or abort between tests. All output will be saved to a
timestamped log file.
NOTE: In auto-approve mode, you must still provide the test plan in
Phase 1. Failed tests are logged but not interactively debugged —
testing continues to the next test automatically.
Type 'yes' to confirm auto-approve mode, or anything else to cancel:--y is active--timeout N if specified.hsb-test-log-YYYY-MM-DD-HHMMSS.md in $REMOTE_ROOT/ or current directory.--y --verbose: Auto-approve with full raw output.--y --timeout N: Auto-approve with a custom per-test timeout.--y --full: Auto-approve with forced full verification from Phase 0.--timeout)The skill supports a --timeout N flag where N is the number of seconds to run each test.
--timeout flag.© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (references) in skills/hsb-test of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Hsb Test 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 |
|---|---|---|---|---|---|---|
| Hsb Test this skillNVIDIA/skills | 3.5k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | |
| Megatron GB200 One-Node Test OnboardingNVIDIA/Megatron-LM | 18k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Port Validation GuideAMD-AGI/Primus | 130 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Fla Mr Readinessfla-org/flash-linear-attention | 5.8k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Write and Verify Playwright Testsappsmithorg/appsmith | 41k | — | ~2.9k | Automated safety check: Notes | Apache-2.0 | |
| Adk Verify Snippetsgoogle/adk-python | 22k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 |
NVIDIA/Megatron-LM
Creates one-node GitHub merge-request variants of existing two-node GB200 functional tests in Megatron-LM, adjusting parallelism settings to fit four GPUs.
AMD-AGI/Primus
Generate a validation plan and test scaffolding to check a Primus optimization that has been ported into a user's own training framework, across correctness (numerical accuracy vs a reference)…
fla-org/flash-linear-attention
Checklist and workflow for preparing an MR/PR in the FLA repo.
appsmithorg/appsmith
Writes a Playwright end-to-end test from a prompt, runs it against a live Appsmith deployment and retries with fixes up to three times until it passes.
google/adk-python
Checks that every Python code block in a Markdown file actually compiles and runs, by extracting each block to a temporary file, executing it in an isolated subprocess, and writing a pass/fail…
wix/react-native-navigation
Run Wix Engine (mobile-apps-engine) iOS E2E tests locally to validate RNN changes.
NVIDIA/skills
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NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
Works with
Categories
Execute QA test plans on Holoscan Sensor Bridge hardware. An agent skill from NVIDIA/skills. Hsb Test is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Execute QA test plans on Holoscan Sensor Bridge hardware.
Hsb Test fits situations like: tasks that involve Test generation.
Run `npx skills add NVIDIA/skills --skill hsb-test -a claude-code`. Or copy the skill folder (skills/hsb-test in NVIDIA/skills) into .claude/skills/hsb-test in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill hsb-test -a codex`. Or copy the skill folder (skills/hsb-test in NVIDIA/skills) into .agents/skills/hsb-test 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 NVIDIA/skills --skill hsb-test -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hsb-test, .gemini/skills/hsb-test, .github/skills/hsb-test and .opencode/skills/hsb-test in your project.
Going by SKILL.md and its folder, Hsb Test needs the command-line tools its instructions call (ssh and docker). Our summary lists: Docker. Its frontmatter pre-approves these tools: Read, Write, Edit, MultiEdit, Grep, Glob, Bash.
SKILL.md contains no URLs. Its commands use ssh and docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Hsb Test is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.2k tokens (SKILL.md is roughly 17k 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 5.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Hsb Test: Megatron GB200 One-Node Test Onboarding (NVIDIA/Megatron-LM, 18k stars), Port Validation Guide (AMD-AGI/Primus, 130 stars), Fla Mr Readiness (fla-org/flash-linear-attention, 5.8k stars) and Write and Verify Playwright Tests (appsmithorg/appsmith, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,534 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.