Problem
Currently the benchmark environment may not reflect real-world agent setups, which could affect how well results translate to actual usage.
Suggestions
Consider adding the following to make benchmark results more representative of real-world performance:
1. Git configuration
git config --global user.name "Benchmark Agent"
git config --global user.email "benchmark@pinchbench.com"
Many tasks involve git operations, and missing config can cause unexpected failures or prompts that wouldn't happen in a real setup.
2. Web search API keys
- Brave Search API — Common tool for agents doing research
- Perplexity API — Another popular research/search option
Without these, agents that would normally use web search fall back to less effective methods or fail tasks they'd otherwise complete.
3. Default skills/tools
Consider including commonly-used skills by default:
- humanizer — Text cleanup/rewriting (common in content tasks)
- Other high-utility skills that real users typically have configured
Rationale
The goal is to measure how well agents perform in realistic conditions, not how well they handle a bare environment. Users running these agents in production have these things configured — the benchmark should too.
Open questions
- Should API keys be optional (skip web search tasks if not configured)?
- Which skills are "common enough" to include by default?
- Any privacy/cost concerns with including real API access in benchmarks?