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Inspect checkpoint-level data for a model, including checkpoint licenses and run history. Use when a user asks for licenses or run-level evidence for a specific model/checkpoint.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
| name | model-checkpoint-inspector |
| description | Inspect checkpoint-level data for a model, including checkpoint licenses and run history. Use when a user asks for licenses or run-level evidence for a specific model/checkpoint. |
Use shell scripts in scripts/ for checkpoint-level inspection.
This skill depends on $model-catalogue-core for model/checkpoint primitives.
BASE_URL="${BASE_URL:-https://model-catalogue-api.azr.internal.wayve.ai}"
Required commands:
curljqcolumnFrom this skill folder:
cd /home/borisindelman/.codex/skills/model-checkpoint-inspector
Checkpoint licenses:
./scripts/checkpoint_licenses.sh <model_ref> [checkpoint_num]
Checkpoint runs:
./scripts/checkpoint_runs.sh <model_ref> [checkpoint_num] [limit=20]
If checkpoint_num is omitted, scripts use latest checkpoint.
Licenses:
artefact_idmodel_session_idcheckpoint_numlicense_typestatusrequested_bycreated_atRuns:
run_idstarted_atdriverrun_typedistance_mdisengagement_countepisode_counton_road_experiment_namerun_url[Open run](https://console.sso.wayve.ai/run/<run_id>)SOC 직업 분류 기준
End-to-end run-image classification with Gemini, including image fetch, prompt control, and JSON output. Use when you need parking or pull-over labels from a run_id.
Find a Gen2 MCAP from a run (or model-derived run), list topics, and extract topic/field values at a specific log time. Use when debugging run-level protobuf signals such as controller_state.
Fetch Buildkite job logs and extract failure lines for debugging CI jobs. Use when a user provides build/job ids or requests failure signal from Buildkite.
Use when forming Spark/SQL queries for Databricks parking evaluation - provides table schemas, PySpark patterns, joins, and filter patterns for PUDO/UNPUDO analysis
Work with Databricks notebooks using the REST API - list, read, modify, and write notebooks back to Databricks workspace
Inspect Flyte execution status and per-node/per-task log URIs from a Flyte Console execution URL. Use when a user asks for workflow status, step status, or logs for flyte.data.wayve.ai/dev executions.
