MMacos Notification McpmacOS Notification MCP enables AI assistants to trigger native macOS sounds, visual notifications, and text-to-speech. Built for Claude and other AI models using the Model Context Protocol.

Download the file first, verify its integrity (checksum, signature), inspect it, then run it. Prefer package managers over raw downloads. Never fetch-and-run in one step.

Likely FP if the target is a well-known installer (e.g., rustup, Homebrew) from its canonical HTTPS domain, though the pattern is inherently risky.

Download the script first, inspect it, verify its checksum, then run it. Do not pipe curl/wget output directly to sh/bash. Prefer package manager installs.

Likely FP if the download is from a well-known installer domain (e.g., brew.sh, rustup.rs), though this pattern is inherently risky even with trusted sources.

Review the dependency tree for nested or transitive dependencies that introduce risk. Use tools like npm audit or pip-audit to identify known vulnerabilities in the dependency chain.

Likely FP if the flagged dependency is a standard, widely-used library with no known vulnerabilities at the time of scanning.

Break chained commands into discrete, individually validated steps. Avoid piping untrusted output directly into a shell interpreter.

Likely FP if the matched text is a documentation example showing a common installer one-liner for a well-known tool with a canonical URL.

Pin all pip packages to exact versions (e.g., pip install package==1.2.3). Use a requirements.txt or pyproject.toml with pinned versions and hash verification.

Likely FP if the match is in documentation showing how to install the skill's own PyPI package.