---
title: Ops Scorecard Lab
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 5.29.0
app_file: app.py
pinned: false
license: apache-2.0
tags:
- agents
- operations
- evaluation
- scorecards
models: []
datasets:
- mukunda1729/agent-eval-scenarios
---

# Ops Scorecard Lab

Ops Scorecard Lab turns a rough agent workflow into an operator-facing scorecard.

It helps builders outline:

- the operating surface
- review priority
- verification expectations
- rollout notes
- next action items

The Space is intentionally lightweight and portfolio-friendly: fast to inspect, easy to extend, and aligned with the public eval dataset on Hugging Face and Kaggle.

## Associated Papers

- Primary paper: [Lightweight Evaluation and Operational Scorecards for Tool-Using AI Agents](https://doi.org/10.5281/zenodo.20034550)
- Paper landing page: [lightweight-agent-eval-paper](https://mukundakatta.github.io/lightweight-agent-eval-paper/)
- Companion evaluation harness paper: [AI Eval Forge: Mixed-Check Regression Testing for LLM and Agent Workflows](https://doi.org/10.5281/zenodo.20044318)
- Artifact repo: [MukundaKatta/ai-eval-forge-paper](https://github.com/MukundaKatta/ai-eval-forge-paper)

## Related Public Artifacts

- Hugging Face dataset: [mukunda1729/agent-eval-scenarios](https://huggingface.co/datasets/mukunda1729/agent-eval-scenarios)
- Hugging Face collection: [Agent Labs Portfolio](https://huggingface.co/collections/mukunda1729/agent-labs-portfolio)