在用户提供 Chrome/Perfetto trace.json、或排查 Ascend 上 MoE/FusedDeepMoe 等算子性能时使用。按 phase、category、core group、tid 统计耗时、overlap、bubble,输出 CSV、Markdown 报告与确定性诊断;可选外部 LLM 扩写分析。默认 phase 映射面向 UMDK FusedDeepMoe,其它 trace 需替换或扩展 config/phase_map.yaml。
68
82%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
技能在运行时会通过 `--trace <TRACE_JSON>` 读取用户提供的 `trace.json` 内容(包含事件 `name/args` 等自由文本字段),并将其中的名称等直接拼入 LLM prompt(若启用 `--llm-analysis`)供外部命令读取。
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