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…
SkillsBench contribution workflow. An agent skill from benchflow-ai/skillsbench.
$ npx skills add benchflow-ai/skillsbench --skill skillsbench -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench skillsbench --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/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/skillsbench .claude/skills/skillsbench && 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 "skillsbench" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/.agents/skills/skillsbench into .claude/skills/skillsbench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillsbench", 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/benchflow-ai/skillsbench/tree/main/.agents/skills/skillsbenchType 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 benchflow-ai/skillsbench --skill skillsbench -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench skillsbench --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/skillsbench .agents/skills/skillsbench && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skillsbench" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/.agents/skills/skillsbench into .agents/skills/skillsbench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillsbench", 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 benchflow-ai/skillsbench --skill skillsbench -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench skillsbench --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/skillsbench .cursor/skills/skillsbench && 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 "skillsbench" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/.agents/skills/skillsbench into .cursor/skills/skillsbench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillsbench", 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/benchflow-ai/skillsbench.git --path .agents/skills/skillsbench--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 benchflow-ai/skillsbench --skill skillsbench -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench skillsbench --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/skillsbench .gemini/skills/skillsbench && 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 "skillsbench" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/.agents/skills/skillsbench into .gemini/skills/skillsbench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillsbench", 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 benchflow-ai/skillsbench skillsbenchInstalls 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 benchflow-ai/skillsbench --skill skillsbench -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/skillsbench .github/skills/skillsbench && 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 "skillsbench" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/.agents/skills/skillsbench into .github/skills/skillsbench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillsbench", 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 benchflow-ai/skillsbench --skill skillsbench -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench skillsbench --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/skillsbench .opencode/skills/skillsbench && 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 "skillsbench" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/.agents/skills/skillsbench into .opencode/skills/skillsbench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillsbench", 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.
skillsbenchSkillsBench contribution workflow. An agent skill from benchflow-ai/skillsbench.
Skillsbench is an agent skill from benchflow-ai/skillsbench. SkillsBench contribution workflow. Use when: (1) Creating benchmark tasks, (2) Understanding repo structure, (3) Preparing PRs for task submission.
Its SKILL.md is about 430 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: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 9a1f4dd. 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:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
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.
Skillsbench loads about 426 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 63 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 benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 63 words, ~426 tokens.
.claude/skills/skillsbench/SKILL.md (or your agent's skills folder).Benchmark evaluating how well AI agents use skills.
# 1. Install and initialize a task
# v1.1 docs target BenchFlow 0.6.2; uv installs the current stable CLI.
uv tool install benchflow
bench tasks init <task-id>
# 2. Write files (see CONTRIBUTING.md for templates)
# 3. Validate
bench tasks check tasks/my-task
bench eval run --tasks-dir tasks/my-task --agent oracle --sandbox docker # Must pass 100%
# 4. Test with agent (with skills)
bench eval run --tasks-dir tasks/my-task --agent claude-agent-acp \
--model <model> --skill-mode with-skill \
--skills-dir tasks/my-task/environment/skills/
# 5. Test WITHOUT skills
bench eval run --tasks-dir tasks/my-task --agent claude-agent-acp \
--model <model> --skill-mode no-skill
# 6. Submit PR (see PR template)task.md prompt body and oracle/solve.sh must be human-authored© benchflow-ai, 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/skillsbench of benchflow-ai/skillsbench.
Open the folder on GitHubat commit 9a1f4dd
Skillsbench 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 |
|---|---|---|---|---|---|---|
| Skillsbench this skillbenchflow-ai/skillsbench | 1.8k | — | ~426 | Automated safety check: Pass | Apache-2.0 | |
| Benchmarkaffaan-m/ECC | 276k | 3 repos | ~654 | Automated safety check: Pass | MIT | |
| Benchmarkaffaan-m/ECC | 276k | — | ~412 | Automated safety check: Pass | MIT | |
| Benchmarkaffaan-m/ECC | 276k | — | ~330 | Automated safety check: Pass | MIT | |
| Contributemindfold-ai/Trellis | 15k | — | ~2.7k | Automated safety check: Pass | AGPL-3.0 | |
| Benchmarkandroidx/androidx | 6.1k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
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。
mindfold-ai/Trellis
Guide for contributing to Trellis documentation and marketplace.
androidx/androidx
Benchmarking and improving the performance of Jetpack Compose.
superset-sh/superset
Set up a Superset open-source contribution, from forking and cloning superset-sh/superset through local dev setup and the repo's rules to a merge-ready PR.
benchflow-ai/skillsbench
This skill should be used when working on Lean 4 formalization projects to maintain persistent memory of successful proof patterns, failed approaches, project conventions, and user preferences…
benchflow-ai/skillsbench
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure.
benchflow-ai/skillsbench
AC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching acopf-math-model.md and MATPOWER branch fields.
benchflow-ai/skillsbench
Civilization 6 district mechanics library. An agent skill from benchflow-ai/skillsbench.
benchflow-ai/skillsbench
Build deterministic, verifiable data visualizations with D3.js (v6).
benchflow-ai/skillsbench
DC power flow analysis for power systems. An agent skill from benchflow-ai/skillsbench.
SkillsBench contribution workflow. An agent skill from benchflow-ai/skillsbench. Skillsbench is an agent skill from benchflow-ai/skillsbench. SkillsBench contribution workflow.
Skillsbench fits situations like: creating benchmark tasks; understanding repo structure; preparing PRs for task submission.
Run `npx skills add benchflow-ai/skillsbench --skill skillsbench -a claude-code`. Or copy the skill folder (.agents/skills/skillsbench in benchflow-ai/skillsbench) into .claude/skills/skillsbench in your project. Claude Code loads it when a task matches its description.
Run `npx skills add benchflow-ai/skillsbench --skill skillsbench -a codex`. Or copy the skill folder (.agents/skills/skillsbench in benchflow-ai/skillsbench) into .agents/skills/skillsbench 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 benchflow-ai/skillsbench --skill skillsbench -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skillsbench, .gemini/skills/skillsbench, .github/skills/skillsbench and .opencode/skills/skillsbench in your project.
Going by SKILL.md and its folder, Skillsbench needs the command-line tools its instructions call (uv). Our summary lists: Docker.
SKILL.md names 1 domain. As links in the text: github.com. 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.
Skillsbench 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 426 tokens (SKILL.md is roughly 1.7k 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 Skillsbench: Benchmark (affaan-m/ECC, 276k stars), Benchmark (affaan-m/ECC, 276k stars), Benchmark (affaan-m/ECC, 276k stars) and Contribute (mindfold-ai/Trellis, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,834 GitHub stars. The repository holds 189 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.