SyncVals · Trajectory

tile-gradient-particles

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

EvidenceAgent trajectory shows rate limit error immediately: 'You've hit your session limit · resets 12:50am (UTC)' with 429 API error. Raw log confirms: 'rate_limit_event' with status='rejected'. Agent metrics show zero completion_tokens and zero prompt_tokens, indicating no actual work was performed. Test output shows baseline unmodified: 'VALIDATION_FAILED: TileSet missing tile_type custom data layer'.

Root causeThe Claude Code agent was rate-limited by its API provider before it could begin working on the task, resulting in immediate session termination and zero task progress.

RecommendationN/A - task is fine

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`.

You've hit your session limit · resets 12:50am (UTC)

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 2f94510 && PYTHONPATH=src python3 scripts/build_site.py , then open trial/trial_c2da8f4d15cb4bfc. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.

Trial trial_c2da8f4d15cb4bfc · verifier authoritative; classifier explanatory.