Assayevidence-based project evaluation

acme/recently-analyzed

https://github.com/acme/recently-analyzed · revision 0123456789ab

Anonymous profilePublicOpenAI API
Evaluator profile
openai-project-evaluator-1
Model
gpt-project-eval
Rubric
project-rubric-1
Project type
cli_developer_tool
Maturity
beta
Tags
developer_tool

Introduction

  • The project ships a command-line interface with JSON output.
  • Its scope targets developers automating repository analysis.

Scores

The Assay Score never replaces its dimensions, and Potential is a separate forward-looking indicator.

Assay Score0/ 100Scored · confidence 72% (high)
  • Project Substance78confidence 80% (high)
  • Originality61confidence 55% (medium)
  • Engineering Rigor81confidence 70% (high)
  • Open Source Readiness69confidence 66% (high)
  • Maintenance Health64confidence 60% (medium)
  • Potential58confidence 50% (medium)

Evidence

Every record below is graded, revision-pinned, and citable by the scores above.

Repository snapshot (1)
evidence:repository:snapshot
evidence:repository:snapshotcomplete · grade A
Files (1)
src/app.ts
evidence:file:src-app-tscomplete · grade A

Cite this result

The badge states the engine profile, score, and provisional, stale, or insufficient-evidence state, and links back to this engine-specific result.

assay: OpenAI API 74/100assay: OpenAI API74/100

Prefix the badge and result paths with the deployment origin when embedding in a remote README.

Warnings and limitations

  • repository_code_not_executed

Assay evaluates the project, not its authors or their use of AI-assisted development tools. Scores are dimensioned, versioned, and grounded in cited evidence.