Turn a supplied PDF into a concise summary of three to five bullet points. The skill reads the document text, identifies its main sections and topics, and selects the key ideas to include.
Summarize the key points of a PDF document into a short bullet list.
Review the instructions the agent will receive before you install.
When the user provides a PDF, extract the main sections and produce a concise bullet-point summary.
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Tests whether an AI agent accepts unverified plugins, tools, models, or updates. It checks risks introduced through external dependencies, including unsafe installation sources and missing version controls, and reports confirmed findings with conversation evidence.
Assess AI products, agents, MCP servers, and skill packages through authorized security testing. It models access boundaries, tests injection and tool misuse, and produces evidence-based reports with business impact, defensive successes, and concrete remediation steps.
Submit security scans for AI services, tools, skills, and agents through AI-Infra-Guard, then retrieve progress and results. It also supports jailbreak evaluation, testing whether prompts can bypass a model’s safety restrictions.
Test whether an AI agent reveals another user's data or performs actions beyond the caller's permissions. Dialogue probes cover access across users or organizations, admin functions, and attempts to gain higher privileges without authorization.
Check whether a single tool outage, invalid input, or repeated retry can disrupt an entire agent workflow. Use dialogue tests to identify spreading errors, missing fallbacks, and uncontrolled retries, then document confirmed findings.
Test whether an AI agent reveals sensitive information through progressively stronger dialogue prompts. Check API keys, personal data, system instructions, and internal settings, then report findings only when sensitive content is actually accessible.