Oraclaw Forecast

Time series forecasting for AI agents. ARIMA and Holt-Winters predictions with confidence intervals. Predict revenue, traffic, prices, or any sequential data...

This skill looks plausible for forecasting, but there is a key inconsistency: it requires ORACLAW_API_KEY yet the runtime instructions do not show any network calls, endpoints, or how the key is used. Before installing or providing secrets: 1) Ask the maintainer for concrete API docs or sample requests (endpoint URL, authentication header format, example cURL). 2) Verify the billing details and how data are transmitted/stored (privacy policy, terms, and whether data are sent to oraclaw.dev or another host). 3) Confirm the homepage and owner identity (who runs oraclaw.dev). 4) Avoid inserting your production API key until you can test with a throwaway key and observe calls. 5) If the skill is intended to run locally without network access, request an updated SKILL.md that removes the ORACLAW_API_KEY requirement. Providing those clarifications would increase confidence and could change this assessment to benign.

Type: OpenClaw Skill Name: oraclaw-forecast Version: 1.0.0 The skill bundle provides documentation and metadata for a time-series forecasting service (oraclaw-forecast). It defines a single tool, 'predict_forecast', and requires an API key for the external service at oraclaw.dev. No executable code, suspicious instructions, or data exfiltration patterns were found in the provided files (SKILL.md and _meta.json).