README.md

metadata

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
• Paper landing page: lightweight-agent-eval-paper
• Companion evaluation harness paper: AI Eval Forge: Mixed-Check Regression Testing for LLM and Agent Workflows
• Artifact repo: MukundaKatta/ai-eval-forge-paper

Related Public Artifacts

• Hugging Face dataset: mukunda1729/agent-eval-scenarios
• Hugging Face collection: Agent Labs Portfolio