Slack MCP integration for agent-to-human notifications and bi-directional communication. Use when agents need to post progress updates, request approvals, or read user responses via Slack channels and threads.
100
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Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Security
2 findings — 2 medium severity. This skill can be installed but you should review these findings before use.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Third-party content exposure detected (high risk: 1.00). The SKILL.md workflow explicitly polls and reads Slack thread messages via mcp_slack_conversations_replies (see the "Bi-Directional Communication" polling example), which are untrusted, user-generated Slack content that the agent parses (regex) and uses to decide approvals and subsequent actions.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Potentially malicious external URL detected (high risk: 0.90). The skill's mcpConfig runs "npx -y @kazuph/mcp-slack" at runtime which fetches and executes the remote npm package (e.g. from https://registry.npmjs.org/@kazuph/mcp-slack), meaning required external code is downloaded and run by the agent.
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