WILD CORPUS · live_scrape
PQS 13 (F) - prompt from docs.anthropic.com
Source: docs.anthropic.com · Scraped 2026-05-04 · Scored 2026-05-04
Score
F13 / 80
cloud_optimize · cloud · pqs-v2.0 · latest (no canonical)
Clarity2 / 10
Specificity3 / 10
Context1 / 10
Constraints1 / 10
Output format1 / 10
Role definition2 / 10
Examples2 / 10
CoT structure1 / 10
Top fixes
- The optimization transforms a raw code snippet into a structured educational prompt that clearly defines the expert role, specifies comprehensive deliverables, and requests well-formatted explanations with multiple examples and best practices.
The prompt
import anthropic client = anthropic.Anthropic() message = client.messages.create( model = "claude-opus-4-7" , max_tokens = 1024 , system = "You are a helpful coding assistant specializing in Python." , messages = [ { "role" : "user" , "content" : "How do I sort a list of dictionaries by key?" } ], ) print (message.content)This prompt was scraped from a public source. The score reflects the input as written, not the quality of any output it produced. The AI input quality problem is the gap between what people type and what the model can act on.