sandeepsirodia

Homefield — AI skill for Claude Code

AI community

Benchmarks are away games.

How to install Homefield

This entry records only its repository, not the path inside it, so there is no exact command to give. Open sandeepsirodia/homefield and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Homefield does

Benchmarks are away games. Rank coding agents on YOUR repo's git history, with honest statistics, a flake filter, and CLAUDE.md rule ablation. Real run: Haiku vs Sonnet on simonw/llm.

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README

homefield

Benchmarks are away games. Test models on your home field.

CI Zero dependencies Local-first MIT


A new model drops. The leaderboard says it's 6 points better. Your timeline says it's a game changer.

You switch. And on *your* codebase, with its weird build, its legacy auth module and its tests that need a running Redis, it's… fine? Worse? You honestly can't tell, because you're comparing vibes.

Public benchmarks measure public repos. Models have probably seen those repos. **None of them have seen yours.**

**homefield turns your own git history into a private benchmark.** Every past commit where someone changed code *and* added a test becomes a task: here's the commit message, make the change. The tests from that commit, hidden until the end, decide who passed.

A real run: Haiku vs Sonnet on simonw/llm

I mined [simonw/llm](https://github.com/simonw/llm)'s 2026 history: **16 real tasks**, each a commit that added a test the old code fails. 6 more candidates were dropped (flaky, or needing dependency changes). Then I ran two Claude models, one attempt per task:

Claude Sonnet and Claude Haiku both solved 7 of 16 tasks; Sonnet cost $0.24 per solved task and Haiku $0.90

$ homefield mine --since 2026-02-01 --stability-runs 2
Mined 16 task(s) into .homefield/tasks.jsonl
Dropped: reference fails 5, tests pass without the change 1

$ h