What is a behavior tree validator?

It is a diagnostic tool that checks the structure, syntax, and logic of behavior trees to ensure they are compatible with the robot's action library and will execute without crashing.

Can I validate manually written behavior trees?

Yes, this skill is designed to validate both manually written and AI-generated behavior trees to catch errors before they reach the robot.

What is the difference between Tier 1 and Tier 2 validation?

Tier 1 validation checks for critical errors like syntax and missing imports that prevent execution, while Tier 2 checks for important issues like parameter range violations and type mismatches.

Does this skill require a live ROS connection?

While it can perform static analysis, it also supports a --check-live flag for individual validators to verify action existence against a running ROS environment.

Behavior Tree Validator

Name: Behavior Tree Validator
Author: jsalfity

byjsalfity

安全与测试

Validates py_trees behavior trees for syntactic correctness, action availability, and semantic consistency in robotic workflows.

关于

The Behavior Tree Validator is a specialized tool designed to ensure the integrity of robotic behavior trees by performing comprehensive multi-tier checks. It identifies critical syntax errors, verifies that all requested actions exist within the robot's library, and evaluates parameters and logical ordering to prevent execution failures. Whether used for debugging existing trees, validating manual configurations, or as an automated step in a generation pipeline, this skill provides actionable feedback and structured JSON reports to guarantee robust and predictable robot behavior.

主要功能

Three-tiered validation (Critical, Important, Advisory)
Detailed diagnostic JSON output with specific fix suggestions
Syntax and structural auditing for py_trees implementations
0 GitHub stars
Robot action library verification via bt-action-discovery
Automated troubleshooting workflows for execution and logic failures

使用场景

Verifying parameter ranges and semantic logic for hand-crafted trees
Diagnosing why a behavior tree failed to execute on a robot
Automated validation of LLM-generated behavior tree code

关于

主要功能

Three-tiered validation (Critical, Important, Advisory)
Detailed diagnostic JSON output with specific fix suggestions
Syntax and structural auditing for py_trees implementations
0 GitHub stars
Robot action library verification via bt-action-discovery
Automated troubleshooting workflows for execution and logic failures

使用场景

Verifying parameter ranges and semantic logic for hand-crafted trees
Diagnosing why a behavior tree failed to execute on a robot
Automated validation of LLM-generated behavior tree code