PaperRead-Skills
v1.0.0Analyze uploaded CVPR paper PDFs with a strict two-pass workflow. First pass extracts verifiable facts with page/section/figure/table evidence only. Second p...
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by@gpiox
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 actual behavior: it analyzes uploaded CVPR PDFs via two local prompt files. No unrelated credentials, binaries, or external services are requested.
Instruction Scope
Runtime instructions are narrowly scoped to (1) confirm an uploaded PDF in the chat, (2) run the two local prompts to extract facts and produce a critique, and (3) restrict outputs to PDF evidence. The skill does not instruct reading unrelated files, accessing env vars, or contacting external endpoints.
Install Mechanism
This is an instruction-only skill with no install spec and no code files to execute; nothing is written to disk or downloaded during install.
Credentials
No environment variables, credentials, or config paths are requested. The declared inputs align with the paper-analysis purpose.
Persistence & Privilege
always is false and there is no request to modify other skills or system-wide settings. disable-model-invocation is default (false), which is normal for skills and not, by itself, a concern.
Assessment
This skill is internally consistent and only needs the PDF you upload plus the included prompt files. Before using it, consider: (1) do not upload confidential or unpublished manuscripts you don't want processed by the agent or potentially retained in logs; (2) the skill intentionally forbids external sources, but model behavior may still leak background knowledge—verify outputs against the PDF evidence tags; (3) the second pass requests a long (2000–3000 Chinese-word) critique—ensure you actually want that length. If you need the skill to never run autonomously, disable autonomous invocation in your agent settings.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.