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AC java-perf-analyzer

Java 应用性能分析与诊断工具。基于 Arthas + MCP 实现远程 JVM 分析。**触发条件**：用户描述 Java 应用性能问题或诊断需求，包括：(1) 直接描述问题现象（CPU飙高、内存泄漏/紧张、接口响应慢、线程阻塞/死锁、类加载异常）(2) 请求 JVM 分析、Arthas 排查、性能诊断 (3) 说"帮我排查 xxx 问题"或"分析下 xxx 性能"。触发后先了解问题现象，再针对性收集信息、执行分析。

ClawHub Agent Skills author: lyl340321 v1.0.1 MIT-0 6 files · 1 script body ≈ 1 109 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
98
Quality 40%
85
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration net-credential-use scripts/install-arthas.sh:41
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    sshpass -p "$SSH_PASS" ssh "$SSH_USER@$SSH_HOST" "mkdir -p $ARTHAS_DIR && cd $ARTHAS_DIR && curl -O https://arthas.aliyun.com/arthas-boot.jar"
    quoted
  • low Exfiltration net-credential-use scripts/install-arthas.sh:78
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    HTTP_CHECK=$(sshpass -p "$SSH_PASS" ssh "$SSH_USER@$SSH_HOST" "curl -s -o /dev/null -w '%{http_code}' http://loca…563/api || echo FAILED")
    quoted

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1109 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 212: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (15 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 2 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

External checks

ClawHub: suspicious
This looks like a real Java diagnostics skill, but it gives an agent powerful remote access to live servers and JVM memory without enough containment or confirmation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026