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| title: Scaffold Harness | |
| emoji: "🧪" | |
| colorFrom: gray | |
| colorTo: green | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: false | |
| license: other | |
| license_name: FSL-1.1-ALv2 | |
| license_link: https://github.com/sxc3030-eng/scaffold-harness/blob/main/LICENSE.md | |
| short_description: Paired GAIN/LOSS tests for layers built on LLMs. | |
| # scaffold-harness | |
| Measure whether an agent, RAG pipeline, router, verifier, or other layer built | |
| on top of an LLM improves answers or breaks them. | |
| This Space runs only the built-in deterministic smoke comparison. It requires | |
| no model or API key and performs no GPU computation. The free ZeroGPU wrapper | |
| is present only because the selected Hugging Face runtime requires it. The complete public source, | |
| documentation, tests, examples, and FSL-1.1-ALv2 license are available in the | |
| [GitHub repository](https://github.com/sxc3030-eng/scaffold-harness). | |
| The Python adapter imports the callable named in a configuration. Never run a | |
| configuration you did not write or audit yourself. | |