Benchmark
affaan-m/ECC
Measure performance baselines and detect regressions across browser Core Web Vitals (LCP, INP, CLS, page weight), API endpoint latency percentiles, and build/test feedback times, with before/after…
Run comprehensive worker system benchmarks and performance analysis
$ npx skills add ruvnet/agentic-flow --skill worker-benchmarks -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/agentic-flow worker-benchmarks --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/ruvnet/agentic-flow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agentic-flow/.claude/skills/worker-benchmarks .claude/skills/worker-benchmarks && 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 "worker-benchmarks" agent skill from https://github.com/ruvnet/agentic-flow/tree/main/agentic-flow/.claude/skills/worker-benchmarks into .claude/skills/worker-benchmarks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worker-benchmarks", 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/ruvnet/agentic-flow/tree/main/agentic-flow/.claude/skills/worker-benchmarksType 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 ruvnet/agentic-flow --skill worker-benchmarks -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/agentic-flow worker-benchmarks --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/agentic-flow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agentic-flow/.claude/skills/worker-benchmarks .agents/skills/worker-benchmarks && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "worker-benchmarks" agent skill from https://github.com/ruvnet/agentic-flow/tree/main/agentic-flow/.claude/skills/worker-benchmarks into .agents/skills/worker-benchmarks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worker-benchmarks", 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 ruvnet/agentic-flow --skill worker-benchmarks -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/agentic-flow worker-benchmarks --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/agentic-flow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agentic-flow/.claude/skills/worker-benchmarks .cursor/skills/worker-benchmarks && 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 "worker-benchmarks" agent skill from https://github.com/ruvnet/agentic-flow/tree/main/agentic-flow/.claude/skills/worker-benchmarks into .cursor/skills/worker-benchmarks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worker-benchmarks", 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/ruvnet/agentic-flow.git --path agentic-flow/.claude/skills/worker-benchmarks--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 ruvnet/agentic-flow --skill worker-benchmarks -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/agentic-flow worker-benchmarks --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/agentic-flow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agentic-flow/.claude/skills/worker-benchmarks .gemini/skills/worker-benchmarks && 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 "worker-benchmarks" agent skill from https://github.com/ruvnet/agentic-flow/tree/main/agentic-flow/.claude/skills/worker-benchmarks into .gemini/skills/worker-benchmarks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worker-benchmarks", 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 ruvnet/agentic-flow worker-benchmarksInstalls 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 ruvnet/agentic-flow --skill worker-benchmarks -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/agentic-flow.git skills-src && mkdir -p .github/skills && cp -r skills-src/agentic-flow/.claude/skills/worker-benchmarks .github/skills/worker-benchmarks && 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 "worker-benchmarks" agent skill from https://github.com/ruvnet/agentic-flow/tree/main/agentic-flow/.claude/skills/worker-benchmarks into .github/skills/worker-benchmarks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worker-benchmarks", 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 ruvnet/agentic-flow --skill worker-benchmarks -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/agentic-flow worker-benchmarks --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/agentic-flow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agentic-flow/.claude/skills/worker-benchmarks .opencode/skills/worker-benchmarks && 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 "worker-benchmarks" agent skill from https://github.com/ruvnet/agentic-flow/tree/main/agentic-flow/.claude/skills/worker-benchmarks into .opencode/skills/worker-benchmarks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worker-benchmarks", 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.
worker-benchmarksRun comprehensive worker system benchmarks and performance analysis
Worker Benchmarks is an agent skill from ruvnet/agentic-flow. Run comprehensive worker system benchmarks and performance analysis
Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Easily switch between alternative low-cost AI models in Claude Code/Agent SDK. For those comfortable using Claude agents and commands, it lets you take what you've created and…
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e993605. 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:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, 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.
Worker Benchmarks loads about 913 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 177 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 177 words (~913 tokens).
“Run comprehensive performance benchmarks for the agentic-flow worker system.”
Just SKILL.md in agentic-flow/.claude/skills/worker-benchmarks of ruvnet/agentic-flow.
Open the folder on GitHubat commit e993605
We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in ruvnet/agentic-flow, which our catalogue first saw on October 7, 2026.
Worker Benchmarks 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 |
|---|---|---|---|---|---|---|
| Worker Benchmarks this skillruvnet/agentic-flow | 816 | 2 repos | ~913 | Automated safety check: Pass | None | |
| Benchmarkaffaan-m/ECC | 274k | 3 repos | ~654 | Automated safety check: Pass | MIT | |
| Benchmarkaffaan-m/ECC | 274k | — | ~412 | Automated safety check: Pass | MIT | |
| Benchmarkaffaan-m/ECC | 274k | — | ~330 | Automated safety check: Pass | MIT | |
| Benchmarkandroidx/androidx | 6.1k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Benchmarksamchon/typia | 5.9k | — | ~1.2k | Automated safety check: Pass | MIT |
affaan-m/ECC
Measure performance baselines and detect regressions across browser Core Web Vitals (LCP, INP, CLS, page weight), API endpoint latency percentiles, and build/test feedback times, with before/after…
affaan-m/ECC
このスキルを使用して、パフォーマンスベースラインを測定し、PR前後の回帰を検出し、スタック代替案を比較します. An agent skill from affaan-m/ECC.
affaan-m/ECC
使用此技能测量性能基线,检测PR前后的回归,并比较堆栈替代方案。
androidx/androidx
Benchmarking and improving the performance of Jetpack Compose.
samchon/typia
Defines typia benchmark fixture integrity, result reporting, and publication safeguards.
garrytan/gstack
Establishes page load, Core Web Vitals and resource-size baselines, then compares before and after on every pull request to track performance trends over time.
ruvnet/agentic-flow
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
ruvnet/agentic-flow
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
ruvnet/agentic-flow
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
ruvnet/agentic-flow
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
ruvnet/agentic-flow
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
ruvnet/agentic-flow
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Run comprehensive worker system benchmarks and performance analysis. Worker Benchmarks is an agent skill from ruvnet/agentic-flow.
Run `npx skills add ruvnet/agentic-flow --skill worker-benchmarks -a claude-code`. Or copy the skill folder (agentic-flow/.claude/skills/worker-benchmarks in ruvnet/agentic-flow) into .claude/skills/worker-benchmarks in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ruvnet/agentic-flow --skill worker-benchmarks -a codex`. Or copy the skill folder (agentic-flow/.claude/skills/worker-benchmarks in ruvnet/agentic-flow) into .agents/skills/worker-benchmarks 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 ruvnet/agentic-flow --skill worker-benchmarks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/worker-benchmarks, .gemini/skills/worker-benchmarks, .github/skills/worker-benchmarks and .opencode/skills/worker-benchmarks in your project.
Going by SKILL.md and its folder, Worker Benchmarks needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx, 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.
No licence was found for Worker Benchmarks or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 913 tokens (SKILL.md is roughly 3.7k 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 Worker Benchmarks: Benchmark (affaan-m/ECC, 274k stars), Benchmark (affaan-m/ECC, 274k stars), Benchmark (affaan-m/ECC, 274k stars) and Benchmark (androidx/androidx, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ruvnet (a GitHub user) maintains it in ruvnet/agentic-flow, which has 816 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 16, 2026.
Source: ruvnet/agentic-flow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.