Read any common document/data file — PDF, Word (.docx), Excel (.xlsx/.xls), PowerPoint (.pptx), images (OCR), CSV/TSV, plain text, JSON/YAML/TOML, HTML/XML, and most source-code files. Use the `read_document` tool.
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The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill explicitly returns raw text for config files (including `.env`) and shows examples calling read_document on config files, which would force the LLM to output any secrets contained therein verbatim.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
SKILL.md describes a runtime workflow that ingests user-provided uploaded files via `read_document(...)` (e.g., PDF/images/markup/source-code extracted into the returned JSON `text` field), and if that uploaded file is authored by an outsider then its free-form text content becomes LLM-readable context—i.e., outsider document content parsed into `text` at runtime.
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