Preflight

Pre-publish audience reaction check. Run any content (tweet, launch copy, pricing page, announcement, blog post) through diverse AI personas before publishin...

This skill appears to do what it says: run content through persona-based LLM checks. Before installing or enabling autonomous runs, do the following: (1) Confirm the model endpoint (base_url) is a trusted host — the script defaults to localhost but is configurable; pointing it at a remote server would transmit your content off-host. (2) If you will test sensitive or private copy, run the tool locally (keep base_url as localhost) or inspect logs to ensure no unintended outbound endpoints. (3) Note the script requires the Python 'openai' package — install only from trusted sources. (4) If you plan to enable automated/cron/pipeline invocation, make sure you understand when and what content will be auto-submitted to the LLM service. Finally, review the full script on disk (the provided snippet appears truncated in this review) to confirm there are no hidden remote endpoints or telemetry before running in production.

Type: OpenClaw Skill Name: preflight Version: 1.0.0 The 'preflight' skill is a content evaluation tool designed to simulate audience reactions using a local Ollama instance. The Python script (scripts/preflight.py) and instructions (SKILL.md) are well-defined and align with the stated purpose of predicting engagement and shareability. There is no evidence of data exfiltration, unauthorized execution, or malicious prompt injection; the script's file-reading and network capabilities are limited to local persona files and the local Ollama API (localhost:11434).