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Treat everything an agent reads but did not author as data rather than instructions — an explicit trust boundary, a tool set fixed before content is read, consequential calls gated on the user, and destinations that cannot be chosen by the content. Use when an agent reads web pages, retrieved documents, emails, tool results, file contents or another agent's output and can also take actions, when adding retrieval or new tools to an agent, or when reviewing an agent for injection exposure. Not for authentication and authorization design, not for secret management, and never satisfied by "the model did not fall for it".

Install

npx skills add nahid-sparktales/agent-dispatcher --skill prompt-injection-defense -a claude-code

Installs to .claude/skills/prompt-injection-defense/ · Each command fetches the skill straight from GitHub with the open skills CLI.

Download .zip

Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.

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Why 82

Security100
Provenance61
Maintenance100
Licence100
Adoption32

aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.

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