Oraclaw Anomaly

Anomaly detection for AI agents. Z-score, IQR, and streaming detection. Find outliers in data instantly. Sub-millisecond response. Works on single values or...

This skill claims to be a SaaS anomaly detector and requires an ORACLAW_API_KEY, but the runtime instructions do not show any API calls, endpoints, or examples of using the key. Before installing or providing credentials, ask the maintainer for: (1) concrete API call examples (URL, method, headers, e.g., Authorization: Bearer ORACLAW_API_KEY) and full request/response docs; (2) privacy and data-retention policy (what data is sent/stored); (3) the actual payment/billing flow for the listed price and confirmation that the 'x402' string is a legitimate payment destination; (4) whether you can create a scoped/test API key with limited privileges or a sandbox account. If you cannot get clear, verifiable API docs and a test/sandbox option, avoid supplying a real API key. If you choose to proceed, use a limited-privilege or ephemeral key and monitor for unexpected network activity or billing.

Type: OpenClaw Skill Name: oraclaw-anomaly Version: 1.0.0 The skill bundle contains only metadata and documentation (SKILL.md) for a statistical anomaly detection tool. It describes standard methods like Z-score and IQR for identifying outliers in datasets. There is no executable code provided, and the instructions are consistent with the stated purpose of monitoring and alerting without any signs of malicious intent, data exfiltration, or prompt injection.