yt-dlp-downloader-skill

Restrict the tool to well-defined scopes and prevent it from requesting all permissions. Implement least-privilege access controls and audit permission grants.

Likely FP if the match is a tool description documenting available permission scopes, not a tool that actually requests overly broad access.

Replace conditional download-and-install logic with explicit dependency declarations in a manifest file (package.json, requirements.txt). Verify checksums for any runtime downloads.

Likely FP if the conditional install is documentation showing standard prerequisite checks (e.g., checking if a tool is installed before installing it).

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.

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.

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.

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.

Replace GitHub raw.githubusercontent.com references with pinned commit SHAs instead of branch names (e.g., /commit-sha/file instead of /main/file). Branch references are mutable.

Likely FP if the raw GitHub URL points to a versioned release tag in a well-known repository, though even tags are technically mutable.

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.

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.