S1
Skild AI
S1 is Skild AI's robotic foundation model for in-context execution from a single video demonstration, including source-reported unseen and long-horizon tasks without post-training.
- Code
- Unverified
- Weights
- Unverified
- Checkpoint
- Unverified
- License
- Unverified
Decision summary
Learning robot tasks from a single video prompt
Workflows that require publicly downloadable weights or code
Verify repository and artifact licenses.
Release history
Source-backed release timing for this canonical model record.
- Official release
Model release
Release timing is recorded from official model metadata.
Selection readiness
Evidence dimensions for deciding whether this model is ready to inspect, compare, or adopt. Scores describe catalog evidence, not task performance.
Published evaluation
How scores work76/100
Provisional
1/6 dimensions scored · 23% confidence
Engineering checks (OBRS) behind this record
Needs Audit
OBRS metadata and reported test evidence. A breakdown behind Selection readiness, not a separate score or an independent OpenBot certification.
- A passing real-hardware test report is required.
- A passing ingestion/pipeline test report is required.
- A passing privacy and provenance review is required.
Why these scores
The strongest decision reasons behind Selection readiness.
Artifact availability
UnknownCode and weights are not verified.
Training and loading reproducibility
UnknownNo verified loading configuration is available.
Evaluation evidence
UnknownNo structured evaluation evidence has been verified.
Data requirements
Declared loop-data needs, missing evidence, and the next checks that matter.
Observation / ego video
Video demonstrations · Robot observations
Action / robot state
Action trajectories
Sim-real / embodiment metadata
Robot observations
Critical gaps
Core categories are represented. Interface alignment and data quality still require verification.
Linked datasets
Signal-level links only. Verify runtime interfaces before use.
No related catalog datasets are linked to this model yet.
More evidenceShowHide
Additional decision dimensions
License or access terms are not verified.
— · c20Required signal categories are structured; exact tensor and action interfaces still need verification.
76 · c70Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.
— · c10Artifact facts
- catalog.curation
- openbot_inference
- tier: editorial_focus · collection: OpenBot important model releases · policy: human_curated_priority
- OpenBot editorial release selection
- model.type
- official_claim
- Robotic foundation model with in-context learning
- Official release title and introduction
- model.reported_in_context_learning
- official_claim
- prompt: one video demonstration · post training: not required · reported task horizon: up to 10 minutes
- Official release summary and reported capabilities
- model.required_signals
- openbot_inference
- Video demonstrations · Robot observations · Action trajectories
- OpenBot signal mapping from the official in-context learning description
- release_timing
- metadata_verified
- 2026-08-18T00:00:00.000Z
- Existing published Catalog release-date evidence
OpenBot notes
- Unseen-task and long-horizon performance statements are source-reported claims, not OpenBot pipeline tests.
- The official release does not list a public code, weight, checkpoint, or license artifact.