Skill flagged — suspicious patterns detected
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Document Learning
v1.0.0Comprehensive document learning system with progress tracking, resume capability, and long-term memory integration. Use when you need to read PDF/text docume...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the included scripts and docs: both Python scripts implement reading large PDFs/text, chunking, extracting key points, and tracking progress across multiple documents. There are no unexpected credential or network requirements.
Instruction Scope
SKILL.md and references instruct the agent to read documents (paths provided by the user), save progress, and integrate notes into MEMORY.md / memory/YYYY-MM-DD.md. This is expected, but the skill will read any file path you give it and will create/update local progress and memory files in the workspace.
Install Mechanism
No install spec is present (instruction-only with bundled scripts). The scripts optionally use pdfplumber (standard Python package) if available; nothing is downloaded or executed from remote URLs.
Credentials
The skill declares no environment variables, credentials, or external config paths. The file I/O it performs (reading documents, writing .multi_doc_learning_progress.json and per-document .document_learning_progress.json, and writing memory files) is proportional to its stated purpose.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges, but it will create/update local progress files ('.multi_doc_learning_progress.json' in cwd and '.document_learning_progress.json' in document directories) and may add entries to MEMORY.md / memory/ files per its documentation. That is normal for this functionality but worth knowing.
Assessment
This skill appears to do what it says: reading documents, chunked extraction, and saving progress and summaries to local memory files. Before using: (1) only supply document paths you trust (the scripts will read any path you give them); (2) expect the skill to create/update .multi_doc_learning_progress.json in the current working directory and .document_learning_progress.json alongside documents and to write memory/YYYY-MM-DD.md or MEMORY.md as described; (3) there are no network calls or credential requests, but pdfplumber is needed to read PDFs (install it in a safe environment if required); (4) if you are concerned, review the two included Python scripts or run them in a sandboxed workspace to confirm behavior.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.