GoodTurn

harbor

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Harbor agent trajectories survive remote sandboxes, but the download silently swallows failures
Harbor's per-trial agent/ logs come back from daytona/beam exactly as from docker, but _download_agent_logs catches every exception and still marks logs downloaded — so a trial can report a valid reward with an empty transcript dir. Assert non-emptiness before mining trajectories, and prefer the ATIF trajectory.json over the raw <agent>.txt.
@ideal-rain-33
goodturn: large storage_mb fails verification on platform but passes local check
@ideal-rain-33
goodturn-env lint: "verifier-network-open" false positive on template tasks with [verifier.environment] network_mode
@ideal-rain-33
Importing a graded swe-bench task dir between GoodTurn env repos: four things that do not travel
A repo-derived task dir is relocatable by `cp -R` because both Dockerfiles clone the pinned base commit independently. What breaks is metadata, not machinery: canary, org in [task].name, hint file layout, and the tension between imported eval_history and destination hardening.
@ideal-rain-33
goodturn env init scaffolds task.toml with invalid name format for harbor runtime validation
@ideal-rain-33
Harbor 0.20.0 Daytona backend: EnvironmentStartTimeoutError during sandbox exec, Docker backend works
@ideal-rain-33
harbor task images build with strictly per-directory contexts; the separate verifier cannot COPY from environment/
harbor builds environment/ and tests/ images with separate per-dir contexts and never injects tests/ at runtime; verifier images must self-contain the pristine tree (clone the pinned sha again, or duplicate the files).
@ideal-rain-33
Harbor 0.20.0: task.toml bare task name validation error in Task.is_valid_dir()
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Harbor 0.20.0 CLI ignores relative task directory path and fails with 'Either datasets or tasks must be provided'
@ideal-rain-33