Swig CI Repro
swig/swig
Reproduce a GitHub Actions Linux CI failure locally when it does not happen on your machine: a podman/docker image that mirrors the ubuntu-22.04 runner by reusing the real Tools/CI-linux-.sh install…
Run the Objeck CLBG benchmarks and the cross-language comparison in Docker, report median times and peak RSS, and flag regressions against docs/performance.md
$ npx skills add objeck/objeck-lang --skill benchmark -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install objeck/objeck-lang benchmark --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/objeck/objeck-lang.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/benchmark .claude/skills/benchmark && 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 "benchmark" agent skill from https://github.com/objeck/objeck-lang/tree/master/.claude/skills/benchmark into .claude/skills/benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark", 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/objeck/objeck-lang/tree/master/.claude/skills/benchmarkType 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 objeck/objeck-lang --skill benchmark -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install objeck/objeck-lang benchmark --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/objeck/objeck-lang.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/benchmark .agents/skills/benchmark && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "benchmark" agent skill from https://github.com/objeck/objeck-lang/tree/master/.claude/skills/benchmark into .agents/skills/benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark", 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 objeck/objeck-lang --skill benchmark -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install objeck/objeck-lang benchmark --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/objeck/objeck-lang.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/benchmark .cursor/skills/benchmark && 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 "benchmark" agent skill from https://github.com/objeck/objeck-lang/tree/master/.claude/skills/benchmark into .cursor/skills/benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark", 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/objeck/objeck-lang.git --path .claude/skills/benchmark--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 objeck/objeck-lang --skill benchmark -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install objeck/objeck-lang benchmark --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/objeck/objeck-lang.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/benchmark .gemini/skills/benchmark && 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 "benchmark" agent skill from https://github.com/objeck/objeck-lang/tree/master/.claude/skills/benchmark into .gemini/skills/benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark", 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 objeck/objeck-lang benchmarkInstalls 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 objeck/objeck-lang --skill benchmark -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/objeck/objeck-lang.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/benchmark .github/skills/benchmark && 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 "benchmark" agent skill from https://github.com/objeck/objeck-lang/tree/master/.claude/skills/benchmark into .github/skills/benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark", 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 objeck/objeck-lang --skill benchmark -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install objeck/objeck-lang benchmark --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/objeck/objeck-lang.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/benchmark .opencode/skills/benchmark && 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 "benchmark" agent skill from https://github.com/objeck/objeck-lang/tree/master/.claude/skills/benchmark into .opencode/skills/benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark", 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.
benchmarkRun the Objeck CLBG benchmarks and the cross-language comparison in Docker, report median times and peak RSS, and flag regressions against docs/performance.md
Benchmark is an agent skill from objeck/objeck-lang. Run the Objeck CLBG benchmarks and the cross-language comparison in Docker, report median times and peak RSS, and flag regressions against docs/performance.md
Its SKILL.md is about 690 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 DevOps & Cloud, covering Containers. It works with Docker, Lua, Python and Ruby. The repository describes itself as: Lightweight object-oriented and functional programming language. Designed to be intuitive, small, cross-platform, and fast. The language emphasizes portability, scalability, and…
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 641bf7f. 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:
dockerpython3rubyFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use 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.
Benchmark loads about 690 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 216 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 216 words (~690 tokens).
“Run CLBG benchmarks and cross-language comparisons using Docker.”
Just SKILL.md in .claude/skills/benchmark of objeck/objeck-lang.
Open the folder on GitHubat commit 641bf7f
Benchmark 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 |
|---|---|---|---|---|---|---|
| Benchmark this skillobjeck/objeck-lang | 164 | — | ~690 | Automated safety check: Pass | Custom licence | |
| Swig CI Reproswig/swig | 6.3k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Minimegasandia-minimega/minimega | 160 | — | ~3.2k | Automated safety check: Pass | GPL-3.0-only | |
| Unraiddinglebear-ai/unraid | 135 | — | ~5.4k | Automated safety check: Notes | MIT | |
| Generate Nemo Gym Envadithya-s-k/FineEnvs | 456 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Cosmos3 Env TroubleshootNVIDIA/cosmos-framework | 559 | — | ~1.3k | Automated safety check: Notes | Custom licence |
swig/swig
Reproduce a GitHub Actions Linux CI failure locally when it does not happen on your machine: a podman/docker image that mirrors the ubuntu-22.04 runner by reusing the real Tools/CI-linux-.sh install…
sandia-minimega/minimega
This skill should be used when the user asks how to configure, run, automate, integrate, or troubleshoot minimega (VMs, namespaces, VLANs, clusters, miniccc, miniweb, command socket or Python API…
dinglebear-ai/unraid
This skill should be used when the user mentions Unraid, asks to check server health, monitor array or disk status, list or restart Docker containers, start or stop VMs, read system logs, check…
adithya-s-k/FineEnvs
Builds a NeMo Gym (NVIDIA) variant of an RL environment. An agent skill from adithya-s-k/FineEnvs.
NVIDIA/cosmos-framework
Diagnose and fix Cosmos3 environment, installation, and runtime errors.
liveblog/liveblog
Run a local Liveblog development environment. An agent skill from liveblog/liveblog.
objeck/objeck-lang
Bump the Objeck release version across all platform files, rebuild on Windows and Linux, and run regression tests
objeck/objeck-lang
Update release documentation (README.md, CHANGELOG.md, docs/readme.html, docs/readme.txt) for a new version
objeck/objeck-lang
Deploy/refresh the Objeck web playground (playground.objeck.org) on its VPS over SSH — git pull, rebuild the sandbox Docker image, restart the service, health-check.
objeck/objeck-lang
Fully automate an Objeck release — reads version.h, auto-bumps if needed, pre-flight gates, LSP sync, docs update, tag push, GitHub Actions build/sign/publish monitoring, release body, and…
Categories
Run the Objeck CLBG benchmarks and the cross-language comparison in Docker, report median times and peak RSS, and flag regressions against docs/performance.md. Benchmark is an agent skill from objeck/objeck-lang.
Benchmark fits situations like: tasks that involve Containers.
Run `npx skills add objeck/objeck-lang --skill benchmark -a claude-code`. Or copy the skill folder (.claude/skills/benchmark in objeck/objeck-lang) into .claude/skills/benchmark in your project. Claude Code loads it when a task matches its description.
Run `npx skills add objeck/objeck-lang --skill benchmark -a codex`. Or copy the skill folder (.claude/skills/benchmark in objeck/objeck-lang) into .agents/skills/benchmark 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 objeck/objeck-lang --skill benchmark -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/benchmark, .gemini/skills/benchmark, .github/skills/benchmark and .opencode/skills/benchmark in your project.
Going by SKILL.md and its folder, Benchmark needs the command-line tools its instructions call (docker, python3 and ruby). Our summary lists: Python 3; Docker.
SKILL.md contains no URLs. Its commands use 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 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.
Benchmark has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 690 tokens (SKILL.md is roughly 2.8k 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 Benchmark: Swig CI Repro (swig/swig, 6.3k stars), Minimega (sandia-minimega/minimega, 160 stars), Unraid (dinglebear-ai/unraid, 135 stars) and Generate Nemo Gym Env (adithya-s-k/FineEnvs, 456 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
objeck (a GitHub user) maintains it in objeck/objeck-lang, which has 164 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 8, 2026.
Source: objeck/objeck-lang on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.