invisible_dots
Enables teams to automate repetitive testing and monitoring tasks without triggering bot detection systems, reducing manual overhead while maintaining infras…
Open-source, self-hosted alternative to OpenAI Dots, Grok Bot. Built to be undetectable by anti-bot systems.
- Automate repetitive code review tasks without triggering detection systems.
- Generate synthetic test data at scale for development environments undetected.
- Execute batch API requests while evading rate-limit and bot-detection mechanisms.
Enables teams to automate repetitive testing and monitoring tasks without triggering bot detection systems, reducing manual overhead while maintaining infrastructure compliance.
QA teams and DevOps engineers automating browser-based testing and monitoring workflows in restricted environments.
https://github.com/feder-cr/invisible_dots
By feder-cr
How to Get It
claude plugins install feder-cr/invisible_dots
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me automate repetitive code review tasks without triggering detection systems
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- M4 Mac mini two weeks later: The invisible Mac that does it all — Hacker News · 6 pts
- The ‘invisible hand’ doesn’t control markets — Hacker News · 3 pts
- Delhi govt considering cancellation of Uber’s permit to operate in Delhi — Hacker News · 3 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 31,945 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- Single maintainer. Consider the risk if this person stops maintaining the project.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 31,945 GitHub stars; contributors unknown; last commit 0d ago; license MIT.