azure-devops-cli

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.

Avoid depending on packages that could be subject to typosquatting or name confusion. Verify package ownership, check download counts, and audit the package source before adding dependencies.

Likely FP if the flagged package is a well-known, high-download-count package from a verified publisher.

Pin system packages to specific versions where the package manager supports it. Document the exact packages required and prefer containerized environments to avoid system-wide changes.

Likely FP if the match is standard setup documentation listing well-known system packages (e.g., apt install git curl) that are prerequisites.

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.

Change the MCP server URL to localhost or a trusted internal endpoint. If a remote server is required, verify the domain ownership and use HTTPS with certificate validation.

Likely FP if the URL points to example.com, a documentation domain, or a well-known SaaS API endpoint (e.g., api.openai.com).