preftrade AIO Quantitative Research Tools

Quantitative research and data tools for AI agents — 670+ capabilities, 250 daily tool calls included, no credit card, no signup, no commitment. Self-registe...

This skill appears to be an onboarding guide for pref.trade's MCP and is mostly coherent, but check these before installing: - Trust the service: confirm you trust https://pref.trade (review privacy, terms, and reputation). This skill will get an agent API key that grants requests against their platform. - Metadata mismatch: the registry declares no required env vars but the instructions use PREFERENCE_API_KEY — expect to provide that env var or a credentials file. Ask the publisher to update metadata for clarity. - Secret storage: the guide recommends saving the key to ~/.config/preference/credentials.json or an env var. Storing secrets on disk is common but increases on-disk persistence risk — ensure file permissions are correct (chmod 600) and rotate/delete keys when no longer needed. - Avoid accidental leaks: follow the skill's own warnings — do not paste the key into chat, logs, or public places and avoid running commands that print the key into shell history. Prefer using a short-lived or limited-scope key if the service supports it. - Test conservatively: consider using anonymous or low-quota testing first and verify behavior with minimal privileges before registering high-privilege account keys. If you want a stronger assurance, ask the skill author to: (1) add PREFERENCE_API_KEY to the declared required env vars in metadata, (2) document exact scopes/permissions of pref_agent_* keys, and (3) provide a link to the service's security/privacy policy. If those are missing, treat the metadata inconsistency as a red flag.

Type: OpenClaw Skill Name: pref Version: 1.0.1 The skill bundle provides onboarding instructions for the PREF MCP (Model Context Protocol) service, facilitating API key registration and configuration for AI agents. It includes security-conscious steps such as setting file permissions (chmod 600) and avoiding command history for secrets. The activities are well-aligned with the stated purpose of quantitative research tool integration, with no evidence of malicious intent, data exfiltration, or unauthorized system access in skill.md.