splitrail-cloud

skill
Security Audit
Warn
Health Warn
  • No license — Repository has no license file
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 9 GitHub stars
Code Warn
  • process.env — Environment variable access in next.config.ts
  • process.env — Environment variable access in sentry.edge.config.ts
  • process.env — Environment variable access in sentry.server.config.ts
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This tool acts as a cloud syncing service for Splitrail, an analyzer for agentic AI coding tool usage. It allows you to sync anonymized usage data across multiple devices and optionally display your stats on a public leaderboard using a generated API token.

Security Assessment
The tool explicitly states it only uploads anonymized usage metrics and never touches your conversation history. However, it inherently makes outbound network requests to sync data and authenticate via GitHub tokens. The codebase accesses environment variables (`process.env`) for standard configurations, particularly for Next.js and Sentry error tracking, which is a routine practice. No dangerous system permissions or shell command executions were detected, and there are no hardcoded secrets. Overall risk: Low.

Quality Assessment
The project is actively maintained, with repository activity as recent as today. Despite being actively worked on, it has very low community visibility with only 9 GitHub stars, meaning it has not been broadly peer-reviewed. A significant concern for developers is the complete lack of a designated open-source license. Without a formal license, all rights are legally retained by the author, meaning you technically have no explicit permission to use, modify, or distribute the code.

Verdict
Use with caution: the underlying code appears safe and respects data boundaries, but the complete lack of a formal software license poses potential legal usage restrictions.
SUMMARY

The cloud for Splitrail - analyzer for agentic AI coding tool usage. Sync your usage data across devices, and optionally show off your stats on the leaderboard. https://github.com/Piebald-AI/splitrail

README.md

Splitrail Cloud

https://splitrail.dev

The cloud for Splitrail - analyzer for agentic AI coding tool usage. Sync your usage data across devices, and optionally show off your stats on the leaderboard.

Log in with your GitHub account, generate a token and set it with splitrail config set api-token <token>, then run splitrail upload or enable auto-uploading with splitrail config set auto-upload true and run splitrail directly to see and/or show off your stats.

Only anonymized usage data is uploaded to your Leaderboard account. No conversation history is ever uploaded, and you can delete your account and all your usage data at any time.

For questions or support, please open an issue on GitHub or email us at [email protected].

Also check out our developer-first agentic AI experience, Piebald.

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