Cherry Studio Regression Tests
CherryHQ/cherry-studio
Runs Cherry Studio's critical-path regression suite as deterministic Playwright E2E tests through a GitHub workflow on macOS and Windows runners.
Run or inspect NemoClaw live E2E evidence. An agent skill from NVIDIA/NemoClaw.
$ npx skills add NVIDIA/NemoClaw --skill nemoclaw-maintainer-e2e -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/NemoClaw nemoclaw-maintainer-e2e --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/NemoClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/nemoclaw-maintainer-e2e .claude/skills/nemoclaw-maintainer-e2e && 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 "nemoclaw-maintainer-e2e" agent skill from https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-e2e into .claude/skills/nemoclaw-maintainer-e2e/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemoclaw-maintainer-e2e", 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/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-e2eType 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/NemoClaw --skill nemoclaw-maintainer-e2e -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/NemoClaw nemoclaw-maintainer-e2e --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/NemoClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/nemoclaw-maintainer-e2e .agents/skills/nemoclaw-maintainer-e2e && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nemoclaw-maintainer-e2e" agent skill from https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-e2e into .agents/skills/nemoclaw-maintainer-e2e/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemoclaw-maintainer-e2e", 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/NemoClaw --skill nemoclaw-maintainer-e2e -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/NemoClaw nemoclaw-maintainer-e2e --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/NemoClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/nemoclaw-maintainer-e2e .cursor/skills/nemoclaw-maintainer-e2e && 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 "nemoclaw-maintainer-e2e" agent skill from https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-e2e into .cursor/skills/nemoclaw-maintainer-e2e/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemoclaw-maintainer-e2e", 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/NemoClaw.git --path .agents/skills/nemoclaw-maintainer-e2e--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/NemoClaw --skill nemoclaw-maintainer-e2e -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/NemoClaw nemoclaw-maintainer-e2e --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/NemoClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/nemoclaw-maintainer-e2e .gemini/skills/nemoclaw-maintainer-e2e && 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 "nemoclaw-maintainer-e2e" agent skill from https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-e2e into .gemini/skills/nemoclaw-maintainer-e2e/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemoclaw-maintainer-e2e", 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/NemoClaw nemoclaw-maintainer-e2eInstalls 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/NemoClaw --skill nemoclaw-maintainer-e2e -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/NemoClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/nemoclaw-maintainer-e2e .github/skills/nemoclaw-maintainer-e2e && 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 "nemoclaw-maintainer-e2e" agent skill from https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-e2e into .github/skills/nemoclaw-maintainer-e2e/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemoclaw-maintainer-e2e", 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/NemoClaw --skill nemoclaw-maintainer-e2e -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/NemoClaw nemoclaw-maintainer-e2e --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/NemoClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/nemoclaw-maintainer-e2e .opencode/skills/nemoclaw-maintainer-e2e && 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 "nemoclaw-maintainer-e2e" agent skill from https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-e2e into .opencode/skills/nemoclaw-maintainer-e2e/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemoclaw-maintainer-e2e", 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.
nemoclaw-maintainer-e2eRun or inspect NemoClaw live E2E evidence. An agent skill from NVIDIA/NemoClaw.
Nemoclaw Maintainer E2E is an agent skill from NVIDIA/NemoClaw, published by the product's own GitHub organization. Run or inspect NemoClaw live E2E evidence. Routes requested local execution, trusted GitHub dispatch, and release-evidence inspection.
Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `agents/openai.yaml`, `references/local-runs.md` and `references/main-runs.md`).
It sits in Testing & QA, covering End-to-end testing. It works with GitHub. The repository describes itself as: Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit b95c0be. 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.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Nemoclaw Maintainer E2E loads about 809 tokens when it runs, and up to ~6.8k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 381 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 NVIDIA/NemoClaw at commit b95c0be, republished under its Apache-2.0 licence (© NVIDIA). 381 words, ~809 tokens.
.claude/skills/nemoclaw-maintainer-e2e/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.<!-- SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. -->
<!-- SPDX-License-Identifier: Apache-2.0 -->
| Request | Procedure |
|---|---|
| Run working-tree source or a selected local commit | Local Runs |
| Run the latest PR commit on GitHub, including failure-triggered comparison with its exact base | Manual PR Runs |
Run the current main commit on GitHub | Main Runs and the Launchable boundary below |
| Inspect existing evidence for a release decision | Report the Release Context |
| Triage, diagnose, debug, or repair an E2E failure | Load Audit E2E Assertions; this skill still owns dispatch and run-level reporting. |
| Classify one failed GitHub Actions job | For E2E failures, use the assertion-audit route above. For other jobs, load nemoclaw-maintainer-classify-ci-failure. |
A new GitHub candidate run tests the latest PR commit or the current main commit.
Manual PR runs may replay the PR base after a candidate failure, as described in their procedure.
Report arbitrary historical candidate selection as unsupported. Preserve the workflow's identity and trust checks.
Push runs select change-relevant E2E and publish Relevant E2E; they do not always run the full
suite. Only a full manual run publishes Release qualification. That aggregate reports the full
suite; it does not decide whether a tag can proceed. A generic E2E request does not authorize
Exact staging Brev Launchable.
Use .github/workflows/e2e.yaml from trusted main for GitHub runs. Do not substitute local live
E2E unless the maintainer explicitly requests local execution. Do not load a dispatch reference for
a release inspection unless the maintainer requests a new run.
Read Staging Launchable before a dispatch that includes
Exact staging Brev Launchable. It owns the credential, deployment, cleanup, artifact, and queue
boundaries. A generic E2E request does not authorize that job.
Read Release Context to inspect the newest identifiable full
manual main run and report its commit, times, attempt, aggregate, and non-successful jobs.
This is read-only. The caller owns the release decision.
Return:
A focused run supplements the reported full-run status; it does not become a full run.
Do not ask for release confirmation or decide whether a release can proceed. The release-tag skill owns the general E2E decision and records any reason for proceeding with an exceptional general E2E status.
Follow the shared Git and GitHub Access Hard Stop.
© 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 6 other files (references) in .agents/skills/nemoclaw-maintainer-e2e of NVIDIA/NemoClaw.
Open the folder on GitHubat commit b95c0be
Nemoclaw Maintainer E2E 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 |
|---|---|---|---|---|---|---|
| Nemoclaw Maintainer E2E this skillNVIDIA/NemoClaw | 23k | — | ~809 | Automated safety check: Pass | Apache-2.0 | |
| Cherry Studio Regression TestsCherryHQ/cherry-studio | 52k | — | ~1.2k | Automated safety check: Pass | AGPL-3.0 | |
| Explore Feature E2E Testcomet-ml/opik | 22k | — | ~3.4k | Automated safety check: Pass | Apache-2.0 | |
| Kane CLI Browser TestingLambdaTest/kane-cli | 247 | — | ~8.4k | Automated safety check: Pass | Apache-2.0 | |
| Detect Flaky Testsagent-substrate/substrate | 4.5k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Dqd Labctrsploit/ctrsploit | 154 | — | ~1.6k | Automated safety check: Pass | None |
CherryHQ/cherry-studio
Runs Cherry Studio's critical-path regression suite as deterministic Playwright E2E tests through a GitHub workflow on macOS and Windows runners.
comet-ml/opik
Turns a code change into one committed, passing Playwright end-to-end spec by resolving the change scope and handing authoring to a companion skill.
LambdaTest/kane-cli
Drives a real browser through the kane-cli tool and designs requirement-linked test suites from a PRD or a plain description, with mobile and cloud-grid runs.
agent-substrate/substrate
Detects flaky Go tests by analyzing GitHub Actions workflow runs across the last 7 days and all PRs — covering both the run-tests job (unit/integration) and the e2e-test job (gVisor and microVM…
ctrsploit/ctrsploit
Manage ctrsploit dqd lab environments from github.com/ctrsploit/dqd.
dimetron/pi-go
Record a test run, a TUI session, or any terminal command as a GIF with VHS and attach it to a GitHub PR as a release-hosted asset, never a repo commit.
NVIDIA/NemoClaw
Find open issues that a NemoClaw PR may also fix or conflict with.
NVIDIA/NemoClaw
Run a NemoClaw daytime maintainer pass over release-targeted work.
NVIDIA/NemoClaw
Remove bracketed NemoClaw tags from GitHub issue and PR titles.
NVIDIA/NemoClaw
Audit and implement a NemoClaw dependency version upgrade, including Hermes and base images.
NVIDIA/NemoClaw
Continuously maintain automatic NemoClaw main E2E results through coordinated repairs.
NVIDIA/NemoClaw
Analyze retained NemoClaw CI timings for slow CLI tests, runner queues, or base-image publication.
Works with
Categories
Run or inspect NemoClaw live E2E evidence. An agent skill from NVIDIA/NemoClaw. Nemoclaw Maintainer E2E is an agent skill from NVIDIA/NemoClaw, published by the product's own GitHub organization. Run or inspect NemoClaw live E2E evidence.
Nemoclaw Maintainer E2E fits situations like: tasks that involve End-to-end testing.
Run `npx skills add NVIDIA/NemoClaw --skill nemoclaw-maintainer-e2e -a claude-code`. Or copy the skill folder (.agents/skills/nemoclaw-maintainer-e2e in NVIDIA/NemoClaw) into .claude/skills/nemoclaw-maintainer-e2e in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/NemoClaw --skill nemoclaw-maintainer-e2e -a codex`. Or copy the skill folder (.agents/skills/nemoclaw-maintainer-e2e in NVIDIA/NemoClaw) into .agents/skills/nemoclaw-maintainer-e2e 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/NemoClaw --skill nemoclaw-maintainer-e2e -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nemoclaw-maintainer-e2e, .gemini/skills/nemoclaw-maintainer-e2e, .github/skills/nemoclaw-maintainer-e2e and .opencode/skills/nemoclaw-maintainer-e2e in your project.
SKILL.md names no scripts, command-line tools or credentials: Nemoclaw Maintainer E2E is instructions for the agent only.
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.
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.
Nemoclaw Maintainer E2E is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
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 6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Nemoclaw Maintainer E2E: Cherry Studio Regression Tests (CherryHQ/cherry-studio, 52k stars), Explore Feature E2E Test (comet-ml/opik, 22k stars), Kane CLI Browser Testing (LambdaTest/kane-cli, 247 stars) and Detect Flaky Tests (agent-substrate/substrate, 4.5k 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/NemoClaw, which has 22,678 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 8, 2026.
Source: NVIDIA/NemoClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.