Contain direct and indirect prompt injection in LLM-integrated applications. Covers source-of-trust tagging, tool-use confirmation after untrusted input, output validation, markdown-image exfiltration prevention, and context-window hygiene. Invoke when building any app where untrusted text reaches an LLM, when the LLM has tools that act on real systems, or after a suspected injection incident.
How to install prompt-injection-defense?
goldenwing-360/claude-security-skills/prompt-injection-defense
$npx -y skills add goldenwing-360/claude-security-skills --skill prompt-injection-defenseInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/goldenwing-360/claude-security-skills" --skill "goldenwing-360/claude-security-skills/prompt-injection-defense"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/goldenwing-360/claude-security-skills" that are relevant to the current task. Run `npx skills add "https://github.com/goldenwing-360/claude-security-skills"` and select the relevant skills, then follow their instructions.
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