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ThumbGate

Skill Development Early

Stop your AI agent from repeating mistakes. ๐Ÿ‘/๐Ÿ‘Ž โ†’ searchable lessons โ†’ enforced gates. Works with Claude, Cursor, Codex, Gemini, Amp.

13 starsMIT (commercial OK)FreeQuick setup
New Find โ€” Recently discovered. Looks promising but has limited community feedback so far.

AI agents repeat the same mistakes across sessions because they lack feedback loops. ThumbGate captures thumbs-up/down signals and turns them into searchable lessons with enforced gates โ€” a lightweight quality ratchet for any agent.

Teams running multiple AI coding agents (Claude, Cursor, Codex, Gemini) who need a shared mistake-prevention layer across tools.

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https://github.com/IgorGanapolsky/ThumbGate

By IgorGanapolsky

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install IgorGanapolsky/ThumbGate

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars13Contributors5Last updated2026-04-13LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-04-13 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

24 mentions across 2 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 13 GitHub stars; 5 contributors; last commit 37d ago; license MIT.

How to evaluate tools before deploying โ†’

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

Ease of Use
3/5
Versatility
2/5
Reliability
4/5
Security
3/5
Overall score3.00 / 5.00 EarlyEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 13 GitHub stars; 5 contributors; last commit 37d ago; license MIT.

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