read-no-evil-mcpSecure email access via read-no-evil-mcp. Protects against prompt injection attacks in emails. Use for reading, sending, deleting, and moving emails.
Install via ClawdBot CLI:
clawdbot install thekie/read-no-evil-mcpGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
send → https://github.com/thekie/read-no-evil-clawbot-skill/pull/8Calls external URL not in known-safe list
https://github.com/thekie/read-no-evil-mcpAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Executives in high-risk industries like finance or legal can use this skill to safely read emails without exposure to prompt injection attacks. It scans incoming messages for malicious content before display, ensuring sensitive communications remain protected. The agent can manage email reading, sending, and organization while maintaining security protocols.
IT teams can integrate this skill to handle email-based support tickets securely, filtering out potential injection attempts from user submissions. It allows for reading, responding to, and categorizing tickets without risking system compromise. This is especially useful in environments where email is a primary channel for customer or internal support requests.
Organizations in regulated sectors like healthcare or government can use this skill to securely access and archive emails for compliance purposes. It scans emails for prompt injection before processing, ensuring audit trails are free from tampering. The agent can move emails to designated folders or delete them as needed while maintaining security standards.
Distributed teams can employ this skill as a secure email gateway for internal communications, protecting against social engineering attacks via email. It enables safe reading and sending of messages, with the ability to manage folders and delete suspicious content. This setup is ideal for companies with remote workers handling sensitive project information.
Customer service departments can use this skill to process inbound emails from clients, automatically scanning for prompt injection to prevent data breaches. It supports reading, replying, and organizing emails into folders like 'Resolved' or 'Pending'. This enhances security while streamlining response workflows in industries like e-commerce or hospitality.
Offer this skill as part of a monthly subscription for businesses needing secure email access, with tiered pricing based on features like send permissions or number of accounts. Revenue comes from recurring fees, with upsells for advanced threat detection or priority support. This model targets SMEs looking to enhance email security without large upfront costs.
Sell enterprise licenses to large organizations for integrating the skill into their existing email infrastructure, with custom support and training. Revenue is generated through one-time licensing fees or annual contracts, plus additional charges for customization and maintenance. This model appeals to corporations in regulated industries requiring robust security compliance.
Provide a free version with basic read-only email access and limited accounts, monetizing through premium upgrades like send capabilities, multiple accounts, or advanced scanning. Revenue streams include in-app purchases or subscription tiers for enhanced functionality. This model attracts individual users and small teams before scaling to paid plans.
💬 Integration Tip
Always confirm the server connection mode with the user before setup, and avoid running config commands that expose sensitive details like 'setup-config.py show' to maintain security.
Scored Apr 19, 2026
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
Manage and interact with MCP servers and tools via the mcporter CLI, supporting listing, configuring, authenticating, calling tools, and generating CLI/types.
Search for jobs across LinkedIn, Indeed, Glassdoor, ZipRecruiter, Google Jobs, Bayt, Naukri, and BDJobs using the JobSpy MCP server.
Model Context Protocol (MCP) client - connect to tools, data sources and services
Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.
Access Scrappa's MCP server for Google, YouTube, Amazon, LinkedIn, Trustpilot, flights, hotels, and more via Model Context Protocol