Execute AWS CLI commands with Telegram approval for dangerous operations.
npx skills add https://github.com/qwer2003tw/bouncer --skill bouncer
Please help me install this Agent Skill. Skill: bouncer Source: https://github.com/qwer2003tw/bouncer/tree/main Command: npx skills add https://github.com/qwer2003tw/bouncer --skill bouncer
This Skill enables AI Agents to securely execute AWS commands, preventing prompt injection attacks by requiring Telegram approval for potentially dangerous operations.
Use the bouncer skill to execute the aws s3 ls command with the reason 'check S3 buckets'.
High-intent search queries and answers about installing and using this skill.
You can add human approval for AWS CLI commands by routing AI agent execution through a Telegram approval workflow where dangerous operations trigger notifications for human review before executing.
A Telegram approval workflow for AWS command execution routes operations into blocked, safelist, or approval categories, triggering Telegram notifications for human review of potentially dangerous commands while safe commands execute automatically.
You classify AWS CLI commands into blocked, safelist, and approval categories to prevent prompt injection, ensuring potentially dangerous operations require human review before an AI agent can execute them.
Yes, you can temporarily automate AWS command execution by establishing trust sessions and grants that allow automated execution for trusted scopes or specific command sets while maintaining security boundaries.
Yes, you need mcporter for local execution when running AWS commands asynchronously through an agent, as it handles the asynchronous command execution via polling.
An AI agent needs a bouncer for AWS operations to prevent accidental or malicious resource changes by intercepting dangerous commands and requiring human approval via Telegram before execution proceeds.
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