Run3 skill 1
[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.From the repository description
npx -y skills add cxcscmu/SkillLearnBench --skill run3_skill-1Assembled 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.