A high-performance CLI tool for extracting time-series battery signals from automotive BLF logs using standard DBC definitions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bms-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install bms-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is BMS CAN Analyzer?
The BMS CAN Analyzer is a precision utility within the Openclaw Skills framework designed for automotive engineers and battery researchers. It bridges the gap between raw binary logging format (BLF) files and actionable insights by utilizing Database CAN (DBC) files to decode specific battery management system signals.
By leveraging this tool, developers can transform complex CAN bus traffic into structured time-series data. Whether you are monitoring cell voltages, pack temperatures, or state-of-charge (SOC) metrics, this skill provides a robust interface for high-fidelity data extraction without requiring manual decoding scripts.
BMS CAN Analyzer Use Cases
- Extracting specific cell voltage or temperature readings from high-volume CAN logs for health monitoring.
- Converting proprietary automotive BLF recordings into readable CSV or JSON formats for data science workflows.
- Automating the validation of battery signal definitions during BMS firmware testing phases.
- Generating time-series reports for Pack Voltage, SOC, and SOH to analyze battery performance over specific drive cycles.
How BMS CAN Analyzer Works
- The user provides a path to a binary BLF file and a corresponding DBC definition file.
- The skill initializes the Openclaw Skills processing engine to load the
python-canandcantoolsbackends. - It scans the BLF file for CAN messages that match the identifiers defined in the DBC file for the requested signals.
- It decodes the raw byte data into engineering units (e.g., Volts, Celsius) based on the scaling and offset parameters in the DBC.
- The tool aggregates these points into a time-stamped series and exports them to the desired output format.
BMS CAN Analyzer Setup
To integrate this capability into your environment, ensure you have Python 3.7+ installed. The Openclaw Skills ecosystem will handle specific library dependencies automatically upon execution.
# Install the core analyzer via the skill manager
openclaw install bms-can-analyzer
# Basic command to verify installation
bms-can-analyzer --help
BMS CAN Analyzer Data Schema & Taxonomy
The skill produces structured outputs that allow for immediate integration with analysis tools like Excel, Pandas, or Grafana.
| Feature | Description |
|---|---|
| Input Formats | .blf (Binary Logging Format), .dbc (CAN Database) |
| Output Formats | CSV (default), JSON, Plain Text |
| Data Fields | Timestamp (float), Signal_Name (string), Value (numeric), Unit (from DBC) |
| Batch Support | Supports comma-separated signal lists for multi-signal extraction in a single pass |
BMS CAN Analyzer Advanced Features
- Multi-signal batch processing to extract entire packs (e.g., all 96 cell voltages) in one command execution.
- Flexible output redirection allowing developers to pipe JSON data directly into downstream AI agents or web dashboards.
- Built-in error handling for corrupted binary segments and validation against DBC syntax standards.
- High-speed parsing optimized for large-scale automotive log files, ensuring compatibility with the broader Openclaw Skills automation workflows.
SKILL.md
Loading
Related Openclaw Skills
Nearby Camping Sites
A specialized tool for AI agents to retrieve geolocated camping sites, RV parks, and outdoor campgrounds based on precise coordinates.
Full Stack Developer Roadmap
A professional career development API that generates personalized full stack learning pathways based on developer experience, current skills, and long-term objectives.
golang-lint
An expert Go code quality skill that automates linting, configuration, and issue resolution using golangci-lint.
Oil Price Monitor
An automated monitoring skill for tracking domestic refined oil price adjustments and notifying users to refuel before price hikes.
Careers Page Generator
An automated framework for designing, auditing, and optimizing high-conversion careers pages and employer branding content.
Changelog Page Generator
A specialized skill for AI agents to design, structure, and optimize product changelog and release notes pages.
Featured*
