Weavebench Cua Reproduce
AMAP-ML/LongHorizon-Harness
Reproduce CUA-Harness experiments on WeaveBench from a GitHub checkout.
Create GitHub issues using the gh CLI. An agent skill from NVIDIA/OpenShell.
$ npx skills add NVIDIA/OpenShell --skill create-github-issue -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/OpenShell create-github-issue --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/OpenShell.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/create-github-issue .claude/skills/create-github-issue && 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 "create-github-issue" agent skill from https://github.com/NVIDIA/OpenShell/tree/main/.agents/skills/create-github-issue into .claude/skills/create-github-issue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-github-issue", 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/OpenShell/tree/main/.agents/skills/create-github-issueType 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/OpenShell --skill create-github-issue -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/OpenShell create-github-issue --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/OpenShell.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/create-github-issue .agents/skills/create-github-issue && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "create-github-issue" agent skill from https://github.com/NVIDIA/OpenShell/tree/main/.agents/skills/create-github-issue into .agents/skills/create-github-issue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-github-issue", 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/OpenShell --skill create-github-issue -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/OpenShell create-github-issue --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/OpenShell.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/create-github-issue .cursor/skills/create-github-issue && 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 "create-github-issue" agent skill from https://github.com/NVIDIA/OpenShell/tree/main/.agents/skills/create-github-issue into .cursor/skills/create-github-issue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-github-issue", 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/OpenShell.git --path .agents/skills/create-github-issue--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/OpenShell --skill create-github-issue -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/OpenShell create-github-issue --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/OpenShell.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/create-github-issue .gemini/skills/create-github-issue && 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 "create-github-issue" agent skill from https://github.com/NVIDIA/OpenShell/tree/main/.agents/skills/create-github-issue into .gemini/skills/create-github-issue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-github-issue", 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/OpenShell create-github-issueInstalls 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/OpenShell --skill create-github-issue -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/OpenShell.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/create-github-issue .github/skills/create-github-issue && 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 "create-github-issue" agent skill from https://github.com/NVIDIA/OpenShell/tree/main/.agents/skills/create-github-issue into .github/skills/create-github-issue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-github-issue", 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/OpenShell --skill create-github-issue -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/OpenShell create-github-issue --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/OpenShell.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/create-github-issue .opencode/skills/create-github-issue && 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 "create-github-issue" agent skill from https://github.com/NVIDIA/OpenShell/tree/main/.agents/skills/create-github-issue into .opencode/skills/create-github-issue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-github-issue", 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.
create-github-issueCreate GitHub issues using the gh CLI. An agent skill from NVIDIA/OpenShell.
Create GitHub Issue is an agent skill from NVIDIA/OpenShell, published by the product's own GitHub organization. Create GitHub issues using the gh CLI. Use when the user wants to create a new issue, report a bug, request a feature, or create a task in GitHub. Trigger keywords - create issue, new issue, file bug, report bug, feature request, github issue.
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 QA and bug reports. It works with GitHub. The repository describes itself as: OpenShell is the safe, private runtime for autonomous AI agents. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 834b79a. 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.
Shell commands in SKILL.md call:
ghgitFrom 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:
github.comFrom 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.
Create GitHub Issue loads about 1.7k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 531 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/OpenShell at commit 834b79a, republished under its Apache-2.0 licence (© NVIDIA). 531 words, ~1,677 tokens.
.claude/skills/create-github-issue/SKILL.md (or your agent's skills folder).Create issues on GitHub using the gh CLI. Issues must conform to the project's issue templates.
The gh CLI must be authenticated (gh auth status).
This project uses YAML form issue templates. When creating issues, match the template structure so the output aligns with what GitHub renders.
Do not add a type label automatically. Confirm that the human operator personally uses OpenShell and directly encountered the problem or needs the feature for a specific use case. If that first-hand attestation or concrete use case is missing, ask for it before creating the issue. Frame the issue entirely in terms of OpenShell. The body must include a User Story, Problem Statement, Impact / Why This Matters, and Acceptance Criteria, followed by bug-specific reproduction steps using only OpenShell deployments and environment details. Do not install third-party tools to demonstrate reproducibility. Logs are optional and must be concise and redacted. If the issue suggests a change to configuration, CLI, SDK, or other user experience, include a notional example of the proposed interaction for human review. Inspect current repository labels before applying any; use only labels whose meaning is clear.
gh issue create \
--title "bug: <concise description>" \
--body "$(cat <<'EOF'
## User Story
I use OpenShell for <specific use case>. I directly encountered or need <specific behavior> so that <outcome>.
## Problem Statement
<Summarize what is broken or missing in OpenShell's current behavior and when the issue occurs>
## Impact / Why This Matters
<Explain the consequences for users, the current workaround, and why that workaround is insufficient>
## Acceptance Criteria
- [ ] <observable outcome that demonstrates the bug is fixed>
## Reproduction Steps
1. <step>
2. <step>
## Environment
- OpenShell: <version>
- OS: <os>
- Runtime, deployment, or integration: <relevant details>
## Suggested UX (if applicable)
<Notional OpenShell CLI, configuration, SDK, or other interaction>
## Logs
<Optional minimal, redacted output>
EOF
)"Do not add a type label automatically. Confirm that the human operator personally uses OpenShell and directly encountered the problem or needs the feature for a specific use case. If that first-hand attestation or concrete use case is missing, ask for it before creating the issue. Frame the issue entirely in terms of OpenShell. The body must include a User Story, Problem Statement, Impact / Why This Matters, Proposed Design, Acceptance Criteria, and Alternatives Considered. The proposed design should define the user-facing workflow and externally observable behavior without prescribing internal implementation. Agent investigation is optional. If the issue suggests a change to configuration, CLI, SDK, or other user experience, include a notional example of the proposed interaction for human review. Inspect current repository labels before applying any; use only labels whose meaning is clear.
gh issue create \
--title "feat: <concise description>" \
--body "$(cat <<'EOF'
## User Story
I use OpenShell for <specific use case>. I directly encountered or need <specific behavior> so that <outcome>.
## Problem Statement
<Summarize the capability or behavior missing from OpenShell today>
## Impact / Why This Matters
<Explain what users must do today, why it is insufficient, and the operational cost, risk, blocked workflow, or adoption barrier>
## Proposed Design
<The desired user-facing workflow and externally observable behavior, without prescribing internal implementation>
## Suggested UX (if applicable)
<Notional OpenShell CLI, configuration, SDK, or other interaction>
## Acceptance Criteria
- [ ] <specific, observable outcome>
## Alternatives Considered
<Other OpenShell workflows considered, including relevant middleware, interceptors, providers, or other extension points, and why the proposal better serves the use case. Prefer an applicable extension when it satisfies the use case; running another service alone is not a reason to dismiss it.>
## Agent Investigation
<Optional findings from codebase exploration>
EOF
)"For internal tasks that do not fit bug/feature templates, still obtain the operator's first-hand OpenShell use case before creating the issue:
gh issue create \
--title "<type>: <description>" \
--body "$(cat <<'EOF'
## User Story
<I personally use OpenShell for this specific case and directly need this work because...>
## Description
<Clear description of the work>
## Context
<Any dependencies, related issues, or background>
## Definition of Done
- [ ] <criterion>
EOF
)"GitHub built-in issue types (Bug, Feature, Task) should come from the matching issue template when possible, or be set manually afterward. Do not try to emulate them through labels.
Creating an issue does not accept it. Follow Label Discovery in CONTRIBUTING.md to retrieve every page of current state:* label definitions and resolve unclear meanings, then follow its triage → validation → human acceptance process. Agents may assess facts, but only humans decide whether to accept work or place it on the roadmap. A direct user request authorizes the requested planning or implementation phase without changing issue disposition.
| Option | Description |
|---|---|
--title, -t | Issue title (required) |
--body, -b | Issue description |
--label, -l | Add label (can use multiple times) |
--milestone, -m | Add to milestone |
--project, -p | Add to project |
--web | Open in browser after creation |
The command outputs the issue URL and number.
Display the URL using markdown link syntax so it's easily clickable:
Created issue [#123](https://github.com/OWNER/REPO/issues/123)Use the issue number to:
git commit --signoff -m "fix(cli): validate empty requests (fixes #123)"CONTRIBUTING.md.© 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
Just SKILL.md in .agents/skills/create-github-issue of NVIDIA/OpenShell.
Open the folder on GitHubat commit 834b79a
Create GitHub Issue 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 |
|---|---|---|---|---|---|---|
| Create GitHub Issue this skillNVIDIA/OpenShell | 15k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Weavebench Cua ReproduceAMAP-ML/LongHorizon-Harness | 1.7k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Evidence-Driven Testingmichaelshimeles/skills | 1.3k | 1 repos | ~3.9k | Automated safety check: Pass | None | |
| Triage IssuesClickHouse/clickhouse-java | 1.6k | — | ~904 | Automated safety check: Pass | Apache-2.0 | |
| Gentle AI Issue CreationGentleman-Programming/gentle-shell | 1.2k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Termio Bug Reporttermio-sh/termio | 540 | — | ~1.9k | Automated safety check: Pass | MIT |
AMAP-ML/LongHorizon-Harness
Reproduce CUA-Harness experiments on WeaveBench from a GitHub checkout.
michaelshimeles/skills
Records an annotated screen recording of the agent testing an app hands-on, then posts the video and a results summary to the PR and tracker issue.
ClickHouse/clickhouse-java
Analyzes a single GitHub issue at a time. An agent skill from ClickHouse/clickhouse-java.
Gentleman-Programming/gentle-shell
Create and triage GitHub issues from repository evidence. An agent skill from Gentleman-Programming/gentle-shell.
termio-sh/termio
Diagnose a termio hang, beachball, crash, or 'it froze again' from the evidence macOS and termio actually leave behind — live process samples, crash and CPU-burn reports, the unified log, the…
damus-io/damus
Process conversations or chat logs to identify reported bugs, search for existing GitHub issues, update existing issues when new undocumented details are discovered, and create new issues for…
NVIDIA/OpenShell
Maintain and validate OpenShell's build-only Windows MSVC lane for x64 and ARM64.
NVIDIA/OpenShell
Create GitHub pull requests using the gh CLI. An agent skill from NVIDIA/OpenShell.
NVIDIA/OpenShell
Debug inference clients that use an attached provider and its native endpoint, including hosted APIs and host-local Ollama, vLLM, SGLang, TRT-LLM, LM Studio, or NIM.
NVIDIA/OpenShell
Debug why an OpenShell gateway deployment is unhealthy, unreachable, or unable to create sandboxes.
NVIDIA/OpenShell
Validate and monitor OpenShell GitHub issues and PRs using the gator: state machine.
NVIDIA/OpenShell
Start up, tear down, and configure the local Kubernetes development environment for OpenShell.
Works with
Categories
Create GitHub issues using the gh CLI. An agent skill from NVIDIA/OpenShell. Create GitHub Issue is an agent skill from NVIDIA/OpenShell, published by the product's own GitHub organization. Create GitHub issues using the gh CLI.
Create GitHub Issue fits situations like: the user wants to create a new issue; request a feature; create a task in GitHub; keywords - create issue.
Run `npx skills add NVIDIA/OpenShell --skill create-github-issue -a claude-code`. Or copy the skill folder (.agents/skills/create-github-issue in NVIDIA/OpenShell) into .claude/skills/create-github-issue in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/OpenShell --skill create-github-issue -a codex`. Or copy the skill folder (.agents/skills/create-github-issue in NVIDIA/OpenShell) into .agents/skills/create-github-issue 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/OpenShell --skill create-github-issue -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-github-issue, .gemini/skills/create-github-issue, .github/skills/create-github-issue and .opencode/skills/create-github-issue in your project.
Going by SKILL.md and its folder, Create GitHub Issue needs the command-line tools its instructions call (gh and git).
SKILL.md names 1 domain. In commands or code: github.com; 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.
Create GitHub Issue 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 1.7k tokens (SKILL.md is roughly 6.7k 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 Create GitHub Issue: Weavebench Cua Reproduce (AMAP-ML/LongHorizon-Harness, 1.7k stars), Evidence-Driven Testing (michaelshimeles/skills, 1.3k stars), Triage Issues (ClickHouse/clickhouse-java, 1.6k stars) and Gentle AI Issue Creation (Gentleman-Programming/gentle-shell, 1.2k 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/OpenShell, which has 15,188 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/OpenShell on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.