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web-profiler-bundle网络分析器捆绑包

Agent Skill

web-profiler-bundle 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,792

周安装

192

GitHub Stars

公开资料未说明

下载量

1,551
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:web-profiler-bundle(网络分析器捆绑包)
来源仓库:https://github.com/bytesagain1/web-profiler-bundle
安装命令:
openclaw skills install web-profiler-bundle
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install web-profiler-bundle

简介

分析 HTTP 请求的时间、内存和查询故障。在调试慢速路由、分析查询、检查中间件或优化时使用。

SKILL.md

name
Web Profiler Bundle
description
Profile HTTP requests with timing, memory, and query breakdowns. Use when debugging slow routes, analyzing queries, inspecting middleware, or optimizing.
version
1.0.0
license
MIT
runtime
python3

Web Profiler Bundle

A thorough utility toolkit for profiling HTTP request execution. Track runs, analyze performance, generate reports, compare results, and export data — all from the command line with local storage.

Commands

All commands accept optional <input> arguments. Without arguments, they display recent entries from their log.

CommandDescription
web-profiler-bundle run <input>Run a profiling task and log the result
web-profiler-bundle check <input>Check an endpoint, middleware, or configuration
web-profiler-bundle convert <input>Convert profiling data between formats
web-profiler-bundle analyze <input>Analyze request timing, memory usage, or query breakdowns
web-profiler-bundle generate <input>Generate profiling configs, reports, or templates
web-profiler-bundle preview <input>Preview profiling output before committing
web-profiler-bundle batch <input>Batch process multiple profiling operations
web-profiler-bundle compare <input>Compare two profiling results side by side
web-profiler-bundle export <input>Log an export operation
web-profiler-bundle config <input>Log or update configuration entries
web-profiler-bundle status <input>Log a status check result
web-profiler-bundle report <input>Generate or log a report entry
web-profiler-bundle statsShow summary statistics across all log files
`web-profiler-bundle export json\csv\txt`Export all data in JSON, CSV, or plain text format
web-profiler-bundle search <term>Search across all log entries for a keyword
web-profiler-bundle recentShow the 20 most recent activity entries
web-profiler-bundle helpShow all available commands
web-profiler-bundle versionPrint version (v2.0.0)

Data Storage

All data is stored locally in ~/.local/share/web-profiler-bundle/. Each command maintains its own .log file with timestamped entries in YYYY-MM-DD HH:MM|value format. A unified history.log tracks all operations across commands.

Export formats supported:

  • JSON — Array of objects with type, time, and value fields
  • CSV — Standard comma-separated with type,time,value header
  • TXT — Human-readable grouped by command type

Requirements

  • Bash 4.0+ with set -euo pipefail (strict mode)
  • Standard Unix utilities: date, wc, du, grep, tail, sed, cat
  • No external dependencies — runs on any POSIX-compliant system

When to Use

  1. Debugging slow HTTP routes — Log profiling runs with timing data and review trends over time
  2. Analyzing query performance — Record database query breakdowns and compare before/after optimization
  3. Inspecting middleware execution — Track middleware timing and memory consumption per request
  4. Generating performance reports — Export accumulated profiling data to JSON/CSV for dashboards or CI pipelines
  5. Batch profiling multiple endpoints — Profile a set of routes in one session and review aggregated statistics

Examples

# Profile a specific route
web-profiler-bundle run "POST /api/orders — 580ms, 24MB, 47 queries"

# Analyze query breakdown
web-profiler-bundle analyze "N+1 detected: users.orders — 34 queries, 210ms total"

# Compare before and after optimization
web-profiler-bundle compare "cache warm: 120ms vs cold: 890ms"

# Check middleware stack
web-profiler-bundle check "auth middleware — 12ms overhead"

# Export all profiling data to JSON
web-profiler-bundle export json

# Search for memory-related entries
web-profiler-bundle search "memory"

# View summary statistics
web-profiler-bundle stats

How It Works

Web Profiler Bundle stores all data locally in ~/.local/share/web-profiler-bundle/. Each command creates a dedicated log file (e.g., run.log, analyze.log, report.log). Every entry is timestamped and appended, providing a full audit trail of all profiling activity. The history.log file aggregates operations across all commands for unified tracking.

When called without arguments, each command displays its most recent 20 entries, making it easy to review past profiling work without manually inspecting log files.

Output

All output goes to stdout. Redirect to a file with:

web-profiler-bundle stats > report.txt
web-profiler-bundle export json  # writes to ~/.local/share/web-profiler-bundle/export.json

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适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.56%
按下载量换算1,343

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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