Individual skill
corl-artifact-evaluation
Use when packaging the artifacts of a CoRL paper — code, training configs, demonstration datasets, policy checkpoints, simulation environments, and benchmark definitions — as anonymous review-time evidence and as durable public releases after acceptance, in a venue with no formal artifact-badging track.
CoRL-Skills/skills/corl-artifact-evaluation/SKILL.md
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# CoRL Artifact Evaluation
CoRL has no separate artifact-evaluation track or badge system in the 2026
materials verified for this pack (a formal AE track remains 待核实 each cycle).
Artifacts are instead judged twice, informally: by reviewers deciding whether to
trust your tables, and by the community deciding — for years afterward — whether
your method becomes a baseline. Package for both audiences from the start.
## Artifact inventory for a robot-learning paper
| Artifact | Review-time form (anonymous) | Public form (post-acceptance) |
|---|---|---|
| Training code + configs | Scrubbed ZIP in the supplementary | GitHub repo, tagged release matching the paper |
| Evaluation harness | Same ZIP; scripts + fixed init-state lists | Same repo; the part reused most by others |