BEHAVIOR-1K BDDL
SkillDev tools"CPU-only operating guidance for the BEHAVIOR-1K BDDL 3.7.0
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the BEHAVIOR-1K BDDL skill
What this skill tells your AI
The instructions your AI receives, as published by vectorspacelab/arex-skill in skills/repositories/repo-skills/behavior-1k/SKILL.md and read by ahel’s review.
Use this skill when a Researcher needs the BDDL portion of BEHAVIOR-1K: activity-definition lookup, parsing, symbolic condition reasoning, object synset/category taxonomy, or read-only knowledge-base inspection.
Route by task
- Activities,
.bddlfiles, predicates, initial/goal conditions, scope, grounding, or symbolic evaluation: read symbolic-tasks. - Synsets, categories, substances, abilities, generated metadata, or
KnowledgeBasemodels: read knowledge-base. - Package compatibility, shared installation failures, or scope limits: read API overview and troubleshooting.
Supported contract
This generated skill intentionally covers only CPU-verifiable BDDL package workflows from the pinned repository snapshot. Install the public distribution in a compatible Python environment:
python -m pip install "bddl==3.7.0"
python -c "from importlib.metadata import version; import bddl; print(version('bddl'))"
The package includes activity/domain definitions and generated taxonomy data as package-relative runtime data. Use the bundled read-only inspectors for quick checks, then consult the sub-skill API references for programmatic workflows:
python sub-skills/symbolic-tasks/scripts/inspect_bddl_activity.py --help
python sub-skills/knowledge-base/scripts/inspect_bddl_taxonomy.py --help
python scripts/smoke_bddl_install.py --help
Hard boundary
This skill does not cover OmniGibson, Isaac Sim, simulator/environment execution, object-state runtime behavior, robots, controllers, sensors, action primitives, cuRobo, GPU backends, physical hardware, asset production, benchmark orchestration, or the excluded BEHAVIOR-1K monorepo packages. A symbolic BDDL condition is not evidence that a simulator can instantiate or satisfy that condition. The source snapshot's OmniGibson/Isaac Sim workflows were not generated or verified because the required runtime was unavailable; do not route such requests here as if CPU guidance were a substitute.
The generated-data files are runtime inputs. Do not run maintainer-only
data_generation pipelines as a routine repair or query method. Use the
troubleshooting references when package data is missing or inconsistent.
Verification entry point
For a quick, read-only package/data smoke check, run
scripts/smoke_bddl_install.py. For activity-level and taxonomy-level
validation, use the inspectors linked above. Keep all simulator-dependent
claims outside this skill.
See provenance for the source revision and evidence overview for the retained package surface.
Signals
- GitHub stars
- 266
- Forks
- 21
- Last commit
- Sep 2026
ahel review
K1binfo
installs-packagesK1binfo
installs-packages (in sub-skills/symbolic-tasks/scripts/inspect_bddl_activity.py)K1binfo
installs-packages (in references/api-overview.md)K1binfo
installs-packages (in references/troubleshooting.md)K1binfo
installs-packages (in sub-skills/symbolic-tasks/SKILL.md)K1binfo
installs-packages (in sub-skills/symbolic-tasks/references/api-reference.md)K1binfo
installs-packages (in sub-skills/symbolic-tasks/references/troubleshooting.md)
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Catalog kind
- skill
- Gateway key
behavior-1k- Source
- github.com/vectorspacelab/arex-skill