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在 OpenClaw 中安装
/install late-brake
功能描述
Pure CLI racing lap data analysis tool. Supports NMEA/VBO import, auto lap splitting, lap comparison, outputs structured comparison results for AI coaching....
使用说明 (SKILL.md)
Late Brake - Racing Lap Data Analysis Skill
Late Brake is a pure command-line (CLI) racing lap data analysis tool that provides:
- Import lap data in NMEA 0183 / RaceChrono VBO formats
- Auto split laps based on track start/finish line
- Compare any two laps for time/speed differences by sector and corner
- Output structured JSON comparison results ready for AI coach analysis
Dependencies
- Python >= 3.10
- Dependencies: click, pydantic, numpy, geographiclib, jsonschema, wcwidth
Dependencies are declared in SKILL.md, OpenClaw will handle automatic installation.
Entry Points
Source code is directly in scripts/ directory, can be imported directly:
import sys
import os
SKILL_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, os.path.join(SKILL_DIR, "scripts"))
from late_brake.cli import main as late_brake_main
Or execute directly as command-line:
# Load data file, list all laps
python -m late_brake.cli load \x3Cfile> --json
# Compare two laps, output JSON result
python -m late_brake.cli compare \x3Cfile1> \x3Clap1> \x3Cfile2> \x3Clap2> --json
Features
| Feature | Command | Description |
|---|---|---|
| Load data file | late-brake load \x3Cfile> |
Parse data, auto split laps, list all detected laps |
| Compare two laps | late-brake compare \x3Cfile1> \x3Clap1> \x3Cfile2> \x3Clap2> |
Compare lap differences, output text table or JSON |
| Track management | late-brake track list/info/add |
Manage built-in/custom tracks |
JSON Output Schema
Full JSON schema definition: compare-json-schema.md
Use Cases
- Racing drivers upload lap data files for comparison analysis
- AI racing coach needs structured comparison data to give advice
- Batch processing multiple lap data files
安全使用建议
This skill appears to be what it claims: a local CLI lap-data analysis tool. Before installing, note that: (1) OpenClaw (or your environment) will install the declared Python dependencies into the agent's Python environment; (2) the tool will write cache files next to any data files you process (.{filename}.lb.json) and will store custom tracks under ~/.late-brake/tracks — only run it on files you trust and be comfortable with those writes; (3) there are minor non-security issues (e.g., a small bug where the 'add' action reports update after write and a version string mismatch) but nothing indicates malicious behavior; (4) no network endpoints, credentials, or external servers are contacted by the shipped code in the included files. If you require stricter isolation, run the skill in a sandboxed environment or inspect/modify the code prior to use.
功能分析
Type: OpenClaw Skill
Name: late-brake
Version: 0.0.3
The 'late-brake' skill is a legitimate racing lap data analysis tool designed to parse NMEA and VBO GPS data files. The codebase implements lap splitting, track matching, and performance comparison logic using standard libraries like numpy and geographiclib. Security-wise, the tool includes proactive path traversal checks in 'scripts/late_brake/io/cache.py' and 'scripts/late_brake/io/track_store.py' when managing local cache files and user-defined track data. No evidence of data exfiltration, malicious execution, or prompt injection was found.
能力评估
Purpose & Capability
Name/description match the code and instructions: parsers, lap splitter, comparator, track management and JSON output are present. Required capabilities (file read/write, local track data) align with the stated purpose. No unrelated credentials or external services are requested.
Instruction Scope
Runtime instructions and CLI code operate on user-supplied data files and local track definitions. The skill reads input files, creates per-file cache files named .{filename}.lb.json in the same directory, and writes user track JSON under ~/.late-brake/tracks. These file operations are expected for the stated purpose, but users should be aware that the skill will write caches next to source files and store custom tracks in the home directory. The code includes path-normalization checks to mitigate path traversal when creating caches and user track files.
Install Mechanism
No install spec is provided (instruction-only install), which is low risk from arbitrary downloads. SKILL.md declares Python package dependencies (click, pydantic, numpy, geographiclib, jsonschema, wcwidth) that OpenClaw will install; the bundle includes source Python files. The absence of a platform-level install recipe is not inherently risky, but installing the declared Python dependencies will modify the agent environment.
Credentials
The skill does not request environment variables, secrets, or external credentials. It only needs filesystem access (reading input files, writing caches and user track JSON) which is appropriate for a CLI data analysis tool.
Persistence & Privilege
The skill is not marked always:true and does not modify other skills or global agent settings. Its persistent artifacts are confined to ~/.late-brake/tracks and per-file .{filename}.lb.json caches; this level of persistence is proportional to the function.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install late-brake - 安装完成后，直接呼叫该 Skill 的名称或使用
/late-brake触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.0.3
late-brake v0.0.3
- Complete "Tianma" track (上海天马赛车场) data.
- Fix runtime bug in v0.0.2.
v0.0.2
- Version downgraded from 0.0.1 to 0.0.2 in SKILL.md.
- Fix reported suspicious patterns.
v0.0.1
late-brake 1.0.0 – Initial release
- Launches a pure CLI tool for racing lap data analysis.
- Supports importing NMEA 0183 and RaceChrono VBO lap data.
- Automatically splits laps and lists detected laps from data files.
- Compares two laps to show sector and corner timing/speed differences.
- Outputs structured JSON results for use with AI coaching.
- Includes commands for track management.
v1.0.0
Initial release: core racing lap analysis features - NMEA/VBO import, lap splitting, sector/turn comparison
元数据
常见问题
Late Brake 是什么？
Pure CLI racing lap data analysis tool. Supports NMEA/VBO import, auto lap splitting, lap comparison, outputs structured comparison results for AI coaching.... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 175 次。
如何安装 Late Brake？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install late-brake」即可一键安装，无需额外配置。
Late Brake 是免费的吗？
是的，Late Brake 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Late Brake 支持哪些平台？
Late Brake 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Late Brake？
由 Han Kai（@isaachan）开发并维护，当前版本 v0.0.3。
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