PawBench

About PawBench

A benchmark for evaluating LLM × harness performance.

agent benchmark harness hermes llm openclaw qwenpaw

Quick Facts

Stars	96
Forks	12
Language	Python
Category	Codex Skill
License	Apache-2.0
Quality Score	38.25/100
Open Issues	5
Last Updated	2026-07-29
Created	2026-05-15
Platforms	python
Est. Tokens	~2780k

Compatible Skills

These tools work well together with PawBench for enhanced workflows:

vakra — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (58%)
MaliciousAgentSkillsBench — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (56%)
AEnvironment — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
evalmonkey — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop (55%)

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Frequently Asked Questions

What is PawBench?

PawBench is A benchmark for evaluating LLM × harness performance.. It is categorized as a Codex Skill with 96 GitHub stars.

What programming language is PawBench written in?

PawBench is primarily written in Python. It covers topics such as agent, benchmark, harness.

How do I install or use PawBench?

You can find installation instructions and usage details in the PawBench GitHub repository at github.com/agentscope-ai/PawBench. The project has 96 stars and 12 forks, indicating an active community.

What license does PawBench use?

PawBench is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools