SyncValsverifier → artifact → classifier → verdict
SyncVals · Trajectory

task_0108_track_particles_driven_by_tile_type_gradient

claude-code claude-sonnet-4-6 ✗ failed HARNESS_ERROR ↑ View task
Solved from the instruction alone, tests/ and solution/ were withheld from the agent's workspace and restored only for grading.
Reward = tests/test.sh exit code (0 → resolved); the classification below is post-hoc and cannot change it.
Classification , post-hoc; cannot change the reward
HARNESS_ERRORInfrastructure failure, the agent never ran properly. Not a signal about agent or task.
SubtypeRate Limit / Session Timeout
Root causeThe Claude Code agent session hit a 429 rate limit immediately after receiving the task instruction, terminating before any work could be performed. This is an infrastructure/rate-limiting issue, not a task specification problem.
RecommendationN/A - task is fine. This is an agent rate-limiting infrastructure issue, not a task problem. The agent never executed, so task quality cannot be assessed from this trial.
Trajectory
Tool-by-tool agent trajectory
0 tool calls · 0 tool types · 2 steps
# Track Particles Driven by Tile Type Gradient In `scenes/world.tscn`, add a TileSet custom data layer named `tile_type` with type int, and assign GradientTexture1D exports named `water_color`, `dirt_color`, and `grass_color` on the World node. In `scripts/world.gd`, add `enum TILE_TYPES { NONE, WATER, DIRT, GRASS }`, export the three GradientTexture1D variables (`water_color`, `dirt_color`, `grass_color`), create a dictionary mapping TILE_TYPES enum members to those gradients, and add a static `get_gradient_at(position)` that reads `get_custom_data_at(position, "tile_type")` and returns the matching gradient. In `scenes/tank.tscn`, add `LeftTrackParticles` and `RightTrackParticles` GPUParticles2D nodes configured to produce realistic track dust trails , use box emission, set directional flow in opposite vertical directions for left and right tracks, configure appropriate spread, disable gravity, set reasonable velocity and damping, use small particle scale, set amount and z_index appropriately, and start with emitting disabled. In `scripts/tank.gd`, track the current particle gradient using `World.get_gradient_at(position)`, assign it to each emitter's `process_material.color_ramp`, set both emitters to `emitting = true` while moving, and `emitting = false` when not moving, via a method named `_update_track_particles`.
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Final diff , what the agent changed

No file changes, the agent left the workspace untouched.

Verifier output , the proof behind the reward
tests/test.sh
Godot Engine v4.4.stable.official.4c311cbee - https://godotengine.org
WARNING: Started the engine as `root`/superuser. This is a security risk, and subsystems like audio may not work correctly.
Set the environment variable `GODOT_SILENCE_ROOT_WARNING` to 1 to silence this warning.
     at: setup2 (main/main.cpp:3181)

VALIDATION_FAILED: TileSet missing tile_type custom data layer
WARNING: 3 RIDs of type "CanvasItem" were leaked.
     at: _free_rids (servers/rendering/renderer_canvas_cull.cpp:2679)
WARNING: ObjectDB instances leaked at exit (run with --verbose for details).
     at: cleanup (core/object/object.cpp:2378)
ERROR: 2 resources still in use at exit (run with --verbose for details).
   at: clear (core/io/resource.cpp:614)

Reproduce this trial: git checkout 327c807 && PYTHONPATH=src python3 scripts/build_site.py , then open trial/trial_3ef6a79cb44c477d. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.

Trial trial_3ef6a79cb44c477d · verifier authoritative; classifier explanatory.