Agent Sim Bridge
B+ 86 completed
Ai Ml
cli / python · small
108
Files
14,772
LOC
1
Frameworks
4
Languages
Pipeline State
completedRun ID
#303974Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
60.47Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47628
Member of a group with 1 similar repo(s) — canonical #27307 view group →
Top concepts (10)
Project DescriptionRepositoryTestingtestingLoggingTestingUser ManagementAnalyticsConfigurationFile Management
Open data scored by Repobility · https://repobility.com
🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
DomainRandomizer.apply_randomizationApplies a set of randomized parameter values to a given environment object by traversing dot-separated paths within the provided configuration names. It takes an environment object and a list of randomization configurations as input, and returns a dictionary mapping the applied parameter names to th
DomainRandomizer.randomizeSamples a floating-point value for each provided parameter configuration, returning a dictionary mapping parameter names to their sampled values. It accepts a list of RandomizationConfig objects as input and produces a dictionary of strings to floats as output. The function temporarily manages the g
RandomizationConfig.sampleGenerates a single floating-point value based on the configured probability distribution, which can be constant, uniform, Gaussian, or log-uniform. It accepts no explicit inputs beyond the object's internal state defining the distribution parameters and optional clipping bounds. The function returns
AI Prompt
Create a Python CLI tool that acts as a bridge for AI agents moving from simulation to reality. I need it to handle translating observations and actions using a `TransferBridge` that applies calibration profiles. The system should include a `Calibrator` to fit these profiles from paired sim/real data and support `DomainRandomization` to perturb simulation parameters like friction and mass. Additionally, please implement a `SafetyMonitor` to enforce physical constraints and a sensor fusion module for combining readings. The tool should also support backend adapters for Gazebo and PyBullet.
python cli ai-agents simulation robotics control-systems gazebo pybullet calibration
Generated by gemma4:latest
Catalog Information
This project provides a bridge between simulation environments and reality for AI agents, allowing them to adapt to real-world scenarios.
Description
The agent-sim-bridge is a tool that enables AI agents to transition from simulated environments to real-world applications. It achieves this by providing environment adapters that facilitate the interaction between the agent and its surroundings. This bridge is particularly useful for training and deploying AI models in complex, dynamic settings.
الوصف
هذا المشروع يوفّر جسرًا بين البيئات المحاكاة والواقعية لل एजنسي (أيّ الأجهزة الذكية) ، مما يسمح لها بالتكيف مع السيناريوهات الحقيقية. يتحقق هذا الجسر من خلال توفير أدAPTERS للمحيط الذي يمكنه أن يتفاعل بين الأجهزة الذكية والبيئة المحيطة بها. هذا الجسر مفيد بشكل خاص للتدريب وتوزيع النماذج الذكية في البيئات المعقدة والديناميكية.
Novelty
7/10Tags
simulation-to-reality ai-agents environment-adapters agent-deployment complex-systems
Technologies
click pydantic rich
Claude Models
claude-opus-4.6 claude-sonnet-4.6
Quality Score
B+
85.5/100
Structure
96
Code Quality
75
Documentation
90
Testing
85
Practices
75
Security
100
Dependencies
80
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (54% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Containerized deployment (Docker)
- Properly licensed project
Weaknesses
- 906 duplicate lines detected \u2014 consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Security & Health
4.3h
Tech Debt (A)
High
DORA Rating
A
OWASP (100%)
Repobility — same analyzer, your code, free for public repos · /scan/
PASS
Quality Gate
A
Risk (1)
Apache-2.0
License
5.5%
Duplication
Languages
Frameworks
pytest
Symbols
variable282
method280
class95
property63
constant49
function34
protocol2
Concepts (10)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Repobility · MCP-ready · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Simulation-to-reality bridge for AI agents with environment adapters | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Repository | Found repository-named files | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | testing | Detected testing layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Logging | Detected from 2 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Testing | Detected from 31 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | User Management | Detected from 2 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Analytics | Detected from 5 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Configuration | Detected from 8 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | File Management | Detected from 2 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
All rows above produced by Repobility · https://repobility.com
Embed Badge
Add to your README:
BinComp Dependency Hardening
All packages →5 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.