Data Anomaly Detector
PassAudited by VirusTotal on May 12, 2026.
Overview
Type: OpenClaw Skill Name: data-anomaly-detector Version: 2.1.0 The skill bundle is designed for data anomaly detection in construction data. The Python code in SKILL.md uses standard data science libraries (pandas, numpy, scipy) for statistical analysis and report generation, without any network calls or shell command execution. The `claw.json` explicitly declares 'filesystem' permission, which is consistent with the `pd.read_excel` usage shown in the quick start guide for loading user-provided data. Neither the markdown instructions nor the code exhibit any signs of malicious intent, such as data exfiltration, persistence mechanisms, or prompt injection attempts to subvert the agent's purpose. All components align with the stated benign functionality.
Findings (0)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
If you point the skill at the wrong file or export location, local project data could be read or written unintentionally.
The skill requests local filesystem access. This matches its documented workflow of processing user-provided construction data files, but it still means the agent may read or write local files during use.
"permissions": [
"filesystem"
]Only provide file paths for datasets you intend to analyze, and review any requested export path before allowing the agent to write results.