Research Paper Quality Filter
v1.0.0Academic paper quality filtering agent with rigorous scoring system and comprehensive audit trail. Filters papers based on relevance and quality criteria for...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Suspicious
medium confidencePurpose & Capability
The top-level description claims a general 'academic paper quality filter' but the scoring criteria and examples are narrowly focused on 'music/song/audio generation'. The SKILL.md shows example CLI usage (quality_filter ...) even though this is an instruction-only package with no binaries or scripts provided. These mismatches suggest the skill may be tailored to a narrow domain or is incomplete.
Instruction Scope
Instructions stay within filtering and logging: ingest papers (arXiv), score them, and append results to a local audit log. However the skill explicitly requires preserving filtered papers (i.e., storing full paper content) and writing append-mode logs under research/{domain}/quality_filtering/..., which can retain potentially sensitive or copyrighted documents. SKILL.md does not instruct reading unrelated system files or env vars.
Install Mechanism
This is an instruction-only skill with no install spec or code files, so nothing will be downloaded or written by an installer. That reduces supply-chain risk, but also means the instructions expect the agent or user to implement the CLI behavior themselves.
Credentials
No environment variables, credentials, or external endpoints are requested. The only resource access implied is local filesystem write access to create the research/{domain}/... directory tree, which is proportionate to the stated audit/logging purpose.
Persistence & Privilege
The skill does not request persistent platform privileges (always:false). Its main persistent behavior is writing append-mode logs and preserving filtered papers in a local directory, which is consistent with the audit-trail claim but should be considered by the user for privacy/storage policy reasons.
What to consider before installing
This skill is not obviously malicious, but I recommend caution before installing or running it: 1) Confirm scope — the criteria and examples are strongly music-generation–focused despite a generic description; if you expect a general-purpose filter, ask the author for clarification. 2) Expect local data retention — the skill requires writing audit logs and preserving full filtered papers under research/{domain}/…; ensure you are comfortable storing possibly copyrighted or sensitive papers and that storage location is acceptable. 3) There is no provided binary or script despite example CLI commands; decide whether you or your agent will implement the functionality or if the package should include executable code. 4) Metadata mismatch: the registry ownerId differs from _meta.json ownerId/slug — ask the publisher to confirm provenance. 5) If you still want to try it, run it in a restricted/sandbox environment first, inspect any logs created, and limit access to sensitive data. Additional information that would raise or lower concern: presence of network endpoints, included scripts or downloads, or requests for credentials would raise the risk; a provided, signed implementation and consistent metadata would lower it.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.
