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Run3 skill 1

Skill cxcscmu/SkillLearnBench/skills/b3-teacher-feedback-gemini-3.1-pro-preview/video-object-counting/run3_skill-1

[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.From the repository description

Install
npx -y skills add cxcscmu/SkillLearnBench --skill run3_skill-1

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

0.6 KB, 129 tokens by cl100k_base, as published. Nobody here has run it

*.png")

    # Step 4, 5, 6: Count objects and generate CSV
    frames = sorted(glob.glob("/root/keyframes_*.png"))
    
    csv_path = "/root/counting_results.csv"
    with open(csv_path, mode='w', newline='') as f:
        writer = csv.writer(f)
        writer.writerow(["frame_id", "coins", "enemies", "turtles"])
        
        for frame in frames:
            coins = count_objects_via_script(frame, "/root/coin.png")
            enemies = count_objects_via_script(frame, "/root/enemy.png")
            turt

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.