RepoMod Bench Model Card
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RepoMod Bench Model Card
| Field | Value |
|---|---|
| Repository | Modelcode-ai/mcode-benchmark |
| Category | Repository-Scale Agent Translation Benchmark |
| Stars / forks snapshot | 1 / 0 |
| Language | Python |
| License | Apache-2.0 |
| Raw capture | raw-github/modelcode-ai_mcode-benchmark.md |
| Updated by | hourly public metadata update, 2026-05-29 04:05 +0800 |
1. Role in Self Evolve
mcode-benchmark (RepoMod-Bench) evaluates repository-scale AI agent translation across languages and frameworks with hidden test validation. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
source repository workspace -> agent performs cross-language/framework translation -> hidden tests evaluate functional equivalence -> benchmark outputs per-language/task reliability
3. Evidence Path
web-observed GitHub page showed 1 star, 0 forks, 32 commits; LICENSE.md declares Apache-2.0 and README defines RepoMod-Bench with hidden test evaluation. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the snapshot as web-observed rather than API-verified.
4. Teaching Use
Use this card to explain Repository-Scale Agent Translation Benchmark: it shows how harness/runtime/benchmark layers convert agent behavior into reproducible and auditable engineering workflows.
5. Limits
The repository was not cloned in this iteration; no benchmark run, plugin install, workflow execution, or agent loop experiment was executed. Counts and claims are visible public-page/search signals unless independently revalidated later.