agent-scorecardConfigurable quality evaluation for AI agent outputs. Define criteria, run evaluations, track quality over time. No LLM-as-judge, no API calls, pattern-based...
Install via ClawdBot CLI:
clawdbot install TheShadowRose/agent-scorecardGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://ko-fi.com/theshadowroseAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A company uses an AI agent for customer support to handle common inquiries. They can configure the Agent Scorecard to evaluate response accuracy, tone, and completeness, tracking improvements after adjusting prompts or integrating new knowledge bases, ensuring consistent quality without manual review.
A marketing team employs an AI agent to draft blog posts and social media content. By setting dimensions for format compliance, style consistency, and filler word detection, they can automatically score outputs, compare different models, and maintain brand voice standards over time.
A software development team uses an AI agent to review pull requests and suggest improvements. They can define rubrics for accuracy, completeness, and code block formatting, using the scorecard to detect regressions after updates and ensure the agent provides reliable, actionable feedback.
An edtech platform deploys an AI tutor to answer student questions. Configuring dimensions for clarity, correctness, and engagement allows automated checks for sycophancy and required sections, helping educators track performance trends and optimize for better learning outcomes.
Offer the Agent Scorecard as a cloud-based service with tiered pricing based on evaluation volume and features like advanced analytics. Customers pay monthly for access to dashboards, automated reports, and integration APIs, targeting teams needing continuous quality monitoring.
Sell on-premise licenses to large organizations requiring data privacy and customization. Include support, training, and custom configuration services, with revenue from one-time fees and annual maintenance contracts, ideal for industries like finance or healthcare.
Release the core tool as open-source under MIT license to build community adoption. Monetize through premium add-ons like enhanced reporting, priority support, or hosted tracking services, attracting developers and small teams who can upgrade as needs grow.
💬 Integration Tip
Start by copying the example config file and adjusting a few key dimensions like accuracy and format to match your agent's output, then run evaluations on sample responses to calibrate thresholds before scaling.
Scored Jun 19, 2026
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