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Boot Kpi Analyzer

Name: Boot Kpi Analyzer
Author: lichm1007

作者 lichm1007 · GitHub ↗ · v1.0.0

cross-platform ✓ 安全检测通过

260

总下载

当前安装

版本数

在 OpenClaw 中安装

/install boot-kpi-analyzer

功能描述

分析并定位SS4车机开关机关键性能指标，支持开机慢、关机慢等问题的时序数据自动化分析与报告生成。

使用说明 (SKILL.md)

Boot KPI Analyzer Skill

功能描述

分析 SS4 车机的开机 KPI 和关机 KPI 时序数据，帮助定位启动慢、关机慢等性能问题。

数据路径

开机 KPI（Boot KPI）

/home/lixiang/work/sdata/code/smk-1125/boot_kpi_server/backend/uploads/\x3CYYYYMMDD_HHMMSS>/

每个子目录包含：

boot_kpi_summary.txt — 预分析的中文摘要报告（3部分：系统服务启动分析、qcrosvm依赖分析、qcrosvm启动性能）
boot_kpi.log — 原始事件：\x3Cservice> -> \x3Cstate> at \x3Cms>ms from system boot
unit_kpi.log — modemanager 日志：[UnitKPI] Dependency of qcrosvm.service ... -> \x3Cstate> at \x3Cms>ms

关机 KPI（Shutdown KPI）

/home/lixiang/work/sdata/code/smk-1125/boot_kpi_server/backend/reboot_tests/\x3CYYYYMMDD_HHMMSS>/

每个子目录包含：

report.json — 测试报告，包含 reboot_duration（整个重启周期秒数）、test_result、build_id 等
shutdown-monitor-units.log — BPF 跟踪的关机事件日志

Web 查询接口（私有 IP，须用 curl）

http://10.122.86.46:9999/

⚠️ web_fetch 无法访问私有 IP，必须使用 execute_command 运行 curl 命令。

使用方法

列出可用的开机 KPI 数据

ls /home/lixiang/work/sdata/code/smk-1125/boot_kpi_server/backend/uploads/

列出可用的关机 KPI 数据

ls /home/lixiang/work/sdata/code/smk-1125/boot_kpi_server/backend/reboot_tests/

分析脚本

使用 skills/boot-kpi-analyzer/scripts/analyze.py 进行自动化分析：

# 分析最新的开机 KPI
python3 /home/lixiang/.openclaw/skills/boot-kpi-analyzer/scripts/analyze.py boot --latest

# 分析指定目录的开机 KPI
python3 /home/lixiang/.openclaw/skills/boot-kpi-analyzer/scripts/analyze.py boot --dir \x3CYYYYMMDD_HHMMSS>

# 分析最新的关机 KPI
python3 /home/lixiang/.openclaw/skills/boot-kpi-analyzer/scripts/analyze.py shutdown --latest

# 分析指定目录的关机 KPI
python3 /home/lixiang/.openclaw/skills/boot-kpi-analyzer/scripts/analyze.py shutdown --dir \x3CYYYYMMDD_HHMMSS>

# 列出所有可用数据
python3 /home/lixiang/.openclaw/skills/boot-kpi-analyzer/scripts/analyze.py list

curl 查询 Web 接口示例

curl -s http://10.122.86.46:9999/
curl -s http://10.122.86.46:9999/api/sessions
curl -s http://10.122.86.46:9999/api/latest

数据格式说明

boot_kpi.log 格式

\x3Cservice_name> -> \x3Cstate> at \x3Cms>ms from system boot

关键状态：activating、active、deactivating、inactive、failed

shutdown-monitor-units.log 格式

[YYYY-MM-DD HH:MM:SS.mmm] Unit: \x3Cservice> | State: \x3CFROM> -> \x3CTO> | BPF_timestamp: \x3Cns>

BPF_timestamp 单位：纳秒
关键里程碑：
- shutdown.target | State: INACTIVE -> ACTIVE — 关机流程开始
- umount.target | State: INACTIVE -> ACTIVE — 关机晚期阶段
- qcrosvm.service | State: ACTIVE -> DEACTIVATING — Android VM 开始关闭

report.json 关键字段

reboot_duration: 整个重启周期（秒），含关机+开机
test_result: success / failure
build_id: 固件版本
has_lastlog: 是否有 lastlog（异常重启标志）
error_message: 失败原因

分析要点

开机性能关键指标

qcrosvm.service 激活耗时：Android VM 启动时间，最重要的 KPI
慢服务（>100ms）：影响开机速度的服务
频繁重启的服务：可能有依赖问题
失败服务：需要重点关注

关机性能关键指标

总关机时长：从 shutdown.target 激活到系统关机
qcrosvm.service 关机耗时：Android VM 关闭时间
reboot_duration：完整重启周期（越小越好，目标通常 \x3C 40s）
umount.target 之前的耗时：文件系统卸载前的服务关闭阶段

典型分析流程

列出数据 → 找到最新或指定时间段的数据目录
读取 report.json → 快速了解总体情况（reboot_duration、是否成功）
分析关机日志 → 找出关机慢的服务（计算各服务从 DEACTIVATING 到 INACTIVE 的耗时）
读取 boot_kpi_summary.txt → 获取开机分析摘要
深挖 boot_kpi.log → 针对具体服务进行详细分析
对比多次数据 → 找出性能波动规律

安全使用建议

This skill appears to do exactly what it claims: parse log files under /home/lixiang/... and optionally query a private web API. Before installing or running it: (1) confirm the indicated directories exist and that you want the agent to read them (the paths are hardcoded to /home/lixiang/...); (2) confirm you trust the private IP endpoint (http://10.122.86.46:9999) the skill may curl; (3) review the included script if you need to be certain it doesn't transmit data elsewhere — it appears to only parse local logs; (4) be aware the agent will run python3 and shell curl commands, so run in a principle-of-least-privilege context or on a machine/account that is allowed to expose those logs. If any of these assumptions don't hold (different home path, untrusted network endpoint), do not enable/auto-run the skill until modified.

功能分析

Type: OpenClaw Skill Name: boot-kpi-analyzer Version: 1.0.0 The skill is a specialized performance analysis tool for vehicle boot and shutdown KPIs, designed to parse logs and generate reports. The Python script `analyze.py` uses standard libraries to perform regex-based parsing of local log files located in specific directories under `/home/lixiang/`. While `SKILL.md` instructs the agent to use `execute_command` with `curl` to access an internal web interface (10.122.86.46:9999) because `web_fetch` is restricted, this behavior is transparently documented and directly supports the stated purpose of querying a local KPI server.

能力评估

✓ Purpose & Capability

Name/description describe analysis of boot/shutdown KPI data; the included script and SKILL.md operate on the exact log directories and files described (boot_kpi.log, unit_kpi.log, shutdown-monitor-units.log, report.json). No unrelated services, credentials, or broad system access are requested.

ℹ Instruction Scope

Instructions explicitly require reading files under /home/lixiang/... and optionally curling a private IP (http://10.122.86.46:9999). This is consistent with the skill's purpose, but the instructions hardcode a specific user path and instruct the agent to run shell commands (python3 and curl), which means the agent will access local files and make network requests when invoked.

✓ Install Mechanism

No install spec; the skill is instruction+script only. Nothing is downloaded or written to disk at install time beyond the normal skill files, which is the lowest-risk pattern.

✓ Credentials

The skill declares no required environment variables or credentials. Its file- and network-access needs (local log dirs and a private web API) are proportionate to the stated log-analysis purpose.

ℹ Persistence & Privilege

always:false (default) and model invocation is enabled (default). Autonomous invocation is the platform default; since the skill reads local files and can run curl/python3, users should be aware an agent could execute these actions autonomously if allowed. There is no always:true or other elevated persistence requested.

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 boot-kpi-analyzer
安装完成后，直接呼叫该 Skill 的名称或使用 /boot-kpi-analyzer 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

v1.0.0

Initial release — provides tools and documentation for analyzing SS4 vehicle system boot and shutdown KPIs. - Supports automated analysis of boot and shutdown KPI log directories with `analyze.py`. - Documents log file structures and key performance metrics for startup and shutdown. - Includes guidance for listing, selecting, and analyzing specific KPI data sets. - Provides instructions for querying a private web API interface using curl. - Outlines troubleshooting steps and common indicators for performance issues.

元数据

Slug boot-kpi-analyzer

版本 1.0.0

许可证 —

累计安装 1

当前安装数 1

历史版本数 1

常见问题