智能实时分析日志文件，识别错误、警告、安全威胁和性能问题，并提供异常检测与优化建议。

This skill appears coherent for log analysis and does not request credentials or installs, but exercise normal caution: logs often contain sensitive data (PII, credentials, tokens). Before using, verify how your agent will supply logs — avoid sending raw production logs to third-party services or models. If you intend to run the JavaScript example, note it is incomplete (extractTimestamp undefined) and has a regex /g state bug; fix those issues and sanitize logs to remove secrets before use. If you need higher assurance, ask the maintainer for a complete, signed implementation or run the logic locally in a sandbox with non-sensitive sample logs.

Type: OpenClaw Skill Name: log-anomaly-detector Version: 1.0.0 The skill is designed to analyze log content provided as an input string, identifying error, warning, performance, and security patterns. The `SKILL.md` and `skill.yaml` files clearly describe this functionality without any prompt injection attempts or instructions for malicious behavior. The JavaScript code operates strictly on the `logs` input parameter and does not attempt to access the file system, network, or execute external commands. While the code snippet in `skill.yaml` references an undefined `extractTimestamp` function, this is a functional bug rather than a security vulnerability or malicious intent, as it does not introduce any exploitable behavior or risky capabilities.