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ThinkWatch

Skill Security Usable

Enterprise AI bastion host for secure AI API and MCP access, with unified proxying, RBAC, audit logs, rate limiting, and cost tracking across OpenAI, Anthropic, Gemini, and self-hosted LLMs.

936 starsFreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Centralizes control over AI API access across multiple vendors, enforcing security policies, usage limits, and audit trails—critical for enterprises managing LLM spend and compliance risk at scale.

Organizations running multiple LLM integrations (OpenAI, Anthropic, Gemini, self-hosted) that need unified governance, cost visibility, and role-based access controls.

Claude Code Claude Cowork Claude Chat

https://github.com/ThinkWatchProject/ThinkWatch

By ThinkWatchProject

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 ThinkWatchProject/ThinkWatch

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

CostFree

Trust Signals Auto-scanned

Stars936Last updated2026-05-20Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

35 mentions across 2 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 936 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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

Ease of Use
2/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score2.90 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 936 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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