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Install in OpenClaw
/install pref
Description
Quantitative research and data tools for AI agents — 670+ capabilities, 250 daily tool calls included, no credit card, no signup, no commitment. Self-registe...
Usage Guidance
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.
Capability Analysis
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.
Capability Tags
Capability Assessment
Purpose & Capability
The skill's name and description describe onboarding an MCP (pref.trade) and the instructions focus on registering an agent key, storing it, and configuring an MCP client — all consistent with a pref.trade onboarding tool.
Instruction Scope
Instructions tell the agent to call pref.trade endpoints, create/save an agent API key, and configure MCP clients. This stays within the stated purpose. Note: it instructs writing a secret to ~/.config/preference/credentials.json (expected for client config) and suggests running debug commands like echo $PREFERENCE_API_KEY which can expose secrets if used carelessly. The guidance includes warnings not to echo keys into history/logs.
Install Mechanism
There is no install spec and no code to download or execute; the skill is instruction-only, which minimizes on-disk risk.
Credentials
The registry metadata lists no required environment variables, but the SKILL.md repeatedly references PREFERENCE_API_KEY and gives commands that rely on that env var or on a credentials file. That mismatch is an incoherence in metadata vs runtime expectations. Aside from that, the only secret involved is the pref_agent_* key — proportionate to the described function — but storing it on disk (in ~/.config) is recommended by the skill and has the usual persistence risks.
Persistence & Privilege
The skill does not request 'always' or elevated privileges and does not modify other skills or system-wide settings. It asks the user/agent to create a credentials file in the user's config dir — a normal client configuration step.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pref - After installation, invoke the skill by name or use
/pref - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Updated metadata field name from free_quota to quota_tiers for daily usage limits.
- Minor improvements to variable usage in code examples (now uses ${PREFERENCE_API_KEY}).
- No changes to code, features, or onboarding process.
v1.0.0
Initial release of pref-mcp-onboarding: Self-serve API key setup for PREF MCP
- All in one - Quantitative research and data tools for AI agents — 670+ capabilities, 250 daily tool calls included, no credit card, no signup, no commitment. Supports polymarket, kalshi, hyperliquid, flight data, news, and more.
- Provides step-by-step onboarding to obtain and safely store a `pref_agent_*` API key with up to 250 free daily tool calls.
- Guides MCP client configuration for secure, authenticated access (not anonymous).
- Documents verification of agent identity and quota status using the `preference_account_status` tool.
- Includes troubleshooting steps for common misconfiguration and security tips for key handling.
Metadata
Frequently Asked Questions
What is 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... It is an AI Agent Skill for Claude Code / OpenClaw, with 64 downloads so far.
How do I install preftrade AIO Quantitative Research Tools?
Run "/install pref" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is preftrade AIO Quantitative Research Tools free?
Yes, preftrade AIO Quantitative Research Tools is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does preftrade AIO Quantitative Research Tools support?
preftrade AIO Quantitative Research Tools is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created preftrade AIO Quantitative Research Tools?
It is built and maintained by morluto (@morluto); the current version is v1.0.1.
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