paper-review

Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.z...

This skill is plausible for reviewing papers, but exercise caution before using it: (1) It requires model API keys (e.g., OPENAI_API_KEY / ANTHROPIC_API_KEY) though the registry didn't declare them — the keys will allow external model providers to receive your paper content. (2) SKILL.md asks you to pip install third-party packages (py-openjudge, litellm, pypdfium2); install them only in an isolated virtualenv and inspect their source or PyPI page first. (3) No code is bundled with the skill — the instructions expect external software. If you plan to review unpublished/confidential papers, do not provide API keys or upload files until you verify the upstream packages and their privacy policies. Consider asking the publisher/author for a local/offline reviewer tool or requesting the skill author provide source code or a trusted homepage before installing.

Type: OpenClaw Skill Name: paper-review Version: 1.0.0 The skill bundle provides a legitimate and well-documented tool for academic paper review using the OpenJudge pipeline. It includes detailed instructions for the AI agent on model selection, error handling, and configuration, utilizing standard libraries like litellm and pypdfium2. While the documentation references non-existent model versions (e.g., 'gpt-5.2' and 'claude-opus-4-6') and a future timestamp, these appear to be placeholders or future-dated examples rather than malicious indicators. There is no evidence of data exfiltration, unauthorized command execution, or harmful prompt injection in SKILL.md or reference.md.