Steel
84/ 100
BScore Breakdown84%
Lost points on 3 checks
- time5/15
- efficiency3/10
- zero errors0/5
Eval Score (70% weight)78%
cost$0.01 (<$0.05, excellent)+10
time86s (60s–90s, good)+5
efficiency15 tool calls (≤15, good)+3
found docsTouched docs at docs.steel.dev: yes (3 matching tool calls)+10
zero errorsTool outputs with errors/tracebacks: 1+0
syntax validCode compiles/parses correctly+5
created filesGenerated files: 1 (need ≥1)+10
full executionMethod: full_execution, Exit: 0+35
Final Score
A: >=90%B: 75-89%C: 55-74%D: <55%
(78 × 0.7) + (100 × 0.3)= 84%
Replay
Using https://docs.steel.dev, complete the following task:
Using Steel, build me a Python script that:
1. Install the Steel Python package
2. Open a browser session
3. Navigate to "https://example.com"
4. Extract the page title and the main heading (h1) text
5. Take a screenshot and save as "screenshot.png" (if supported)
6. Close the session
7. Print results as JSON: {"url": "...", "title": "...", "heading_text": "...", "screenshot_saved": true/false}
Use the official Steel Python library — not raw HTTP calls.steel_scrape.py
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Run completed Oct 25, 2026, 11:43 PM