Benchmark OpenClaw coding agents against repeatable real tasks before rollout with PinchBench
Run a real-task benchmark suite against OpenClaw agents so model or harness changes can be compared before they hit production workflows.
Install
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/benchmark-openclaw-coding-agents-against-repeatable-real-tasks-before-rollout-with-pinchbench
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart
git clone https://github.com/agentskillexchange/skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Benchmark OpenClaw coding agents against repeatable real tasks before rollout with PinchBench
Run a real-task benchmark suite against OpenClaw agents so model or harness changes can be compared before they hit production workflows.
Prerequisites
Running OpenClaw instance, Python 3.10+, uv, PinchBench repository checkout, model provider credentials as documented upstream
Installation
Use the upstream install or setup path that matches your environment:
- git clone https://github.com/pinchbench/skill.git
Requirements and caveats from upstream:
- Note: Model IDs must include their provider prefix (e.g. openrouter/, anthropic/). OpenRouter is the default provider used for routing.
- Python 3.10+
Basic usage or getting-started notes:
Tool usage — Can the model call the right tools with the right parameters?
bash
Clone the skill
Extracted from upstream docs: https://raw.githubusercontent.com/pinchbench/skill/HEAD/README.md
Documentation
Source
Files (skills)
-
SKILL.md 1.9 KB
--- name: "Benchmark OpenClaw coding agents against repeatable real tasks before rollout with PinchBench" slug: "benchmark-openclaw-coding-agents-against-repeatable-real-tasks-before-rollout-with-pinchbench" description: "Run a real-task benchmark suite against OpenClaw agents so model or harness changes can be compared before they hit production workflows." github_stars: 1003 verification: "security_reviewed" source: "https://github.com/pinchbench/skill" author: "pinchbench" publisher_type: "organization" category: "Code Quality & Review" framework: "OpenClaw" tool_ecosystem: github_repo: "pinchbench/skill" github_stars: 1003 --- # Benchmark OpenClaw coding agents against repeatable real tasks before rollout with PinchBench Run a real-task benchmark suite against OpenClaw agents so model or harness changes can be compared before they hit production workflows. ## Prerequisites Running OpenClaw instance, Python 3.10+, uv, PinchBench repository checkout, model provider credentials as documented upstream ## Installation Use the upstream install or setup path that matches your environment: - git clone https://github.com/pinchbench/skill.git Requirements and caveats from upstream: - **Note:** Model IDs must include their provider prefix (e.g. openrouter/, anthropic/). [OpenRouter](https://openrouter.ai) is the default provider used for routing. - Python 3.10+ Basic usage or getting-started notes: - **Tool usage** — Can the model call the right tools with the right parameters? - bash - # Clone the skill - Source: https://github.com/pinchbench/skill - Extracted from upstream docs: https://raw.githubusercontent.com/pinchbench/skill/HEAD/README.md ## Documentation - https://pinchbench.com ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/benchmark-openclaw-coding-agents-against-repeatable-real-tasks-before-rollout-with-pinchbench/)
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