技能详情（站内镜像，无评论）
作者：Alireza Rezvani @alirezarezvani
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 147 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：alirezarezvani/cs-performance-profiler
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill is an instruction-only performance profiling guide whose required actions and recommendations align with its stated purpose; it does not request credentials or install code itself, but several recommended steps (debug endpoints, heap snapshots, open pprof ports, load tests) carry operational risks if misused.
目的
The name/description (performance profiling) matches the content: Node.js/Python/Go profiling, flamegraphs, bundle analysis, DB EXPLAINs, and load testing. Nothing in the files asks for unrelated credentials, binaries, or system-wide access that would be inconsistent with profiling.
说明范围
SKILL.md and references contain concrete instructions to add debug endpoints (/debug/heap-snapshot, pprof endpoints), run profilers, and run load tests. These are expected for profiling, but they can expose sensitive memory/state or administrative endpoints if not properly protected and can cause production impact if run against live traffic. The guidance sometimes reminds to 'protect with auth' or 'use staging', but enforcement is left to the…
安装机制
This is an instruction-only skill with no install spec or code files. The docs suggest installing tools (clinic, py-spy, memory-profiler) via npm/pip, which is normal for profiling workflows and are executed by the user rather than installed by the skill itself.
证书
No environment variables, credentials, or config paths are required by the skill. The content references typical env usage (e.g., ANALYZE=true) and monitoring services, but does not request tokens or secrets — this is proportionate to its purpose.
持久
The skill does not request persistent presence, does not modify other skills, and is not always-enabled. It’s a passive instruction set the agent can follow when invoked.
综合结论
This is a legitimate profiling cookbook. Before you use it: (1) Never expose debug endpoints (heap snapshot, /debug/pprof) publicly — protect them with authentication, network ACLs, or bind to localhost. (2) Heap snapshots and pprof data may contain sensitive memory (tokens, PII), so store and share them carefully and delete after use. (3) Run heavy profiling and load tests against staging or isolated environments to avoid impacting production…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「performance-profiler」。简介：Performance Profiler。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/alirezarezvani/cs-performance-profiler/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
暂无本地缓存内容，可在后台执行详情同步。