Skill flagged — suspicious patterns detected
ClawHub Security flagged this skill as suspicious. Review the scan results before using.
期刊论文AI率降低
v1.0.0This skill should be used when the user wants to reduce AI detection rate in journal papers or academic documents. It transforms AI-generated content into hu...
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byAshi@innocencexy
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 name/description and the SKILL.md align: the skill's goal is to reduce AI-detection rates. However, it asks for adding 3–5 "真实论文原话引用" from recent core journals and tailoring outputs for indexed services (CSSCI, EI) without declaring any means to access those bibliographic databases or subscriptions. Requesting "real" citations and journal-sourced quotes is disproportionate to the declared environment (no credentials, no install) and suggests either an implicit expectation that the agent fabricate citations or that the user will supply sources—this mismatch is not documented.
Instruction Scope
The runtime instructions are tightly scoped to the stated purpose (rewriting, injecting typos/errors, adding citations, and targeting detectors). But they explicitly direct deceptive actions (evading detection, inserting deliberate fabrications or errors) and require measurements (AI-rate targets <15%) without specifying how to compute or verify AI-rate. The instructions also demand "真实的引用" but provide no sourcing, crawling, or verification steps—raising a risk the agent will invent citations or instruct the user to supply paid/credentialed content.
Install Mechanism
Instruction-only skill with no install spec, no code files executed, and no downloads—this is low-risk from an installation/execution perspective.
Credentials
The skill requests no environment variables or credentials, which is appropriate given there is no code. However, some declared objectives (integration with Turnitin/知网/维普, adding real citations from subscription databases) realistically require external access or credentials; the absence of any declared access or guidance is a proportionality mismatch and should be clarified.
Persistence & Privilege
No special persistence or elevated privileges requested (always:false, no config paths). The skill will not be forced into every agent run and does not declare autonomous elevation.
Scan Findings in Context
[no_scan_findings] expected: The static regex scanner returned no findings. That's expected because this is an instruction-only skill with no executable code for the scanner to analyze. Absence of findings does not imply the instructions are safe or coherent.
What to consider before installing
This skill is designed to help authors evade AI-detection systems and to alter academic content in ways that are deceptive (adding 'real' citations, inserting deliberate errors, and hitting AI-rate targets). Before installing or using: 1) Consider legal/ethical risks—this facilitates academic dishonesty and may violate publisher/institution policies. 2) Clarify how the skill will obtain and verify the "真实引用" and how it measures AI-rate (the SKILL.md gives targets but no verification method); if the skill expects you to provide subscription content or detector credentials, that should be explicit. 3) Beware of fabricated citations: if the skill cannot access authoritative databases, it may generate plausible-looking but false references. 4) If you still want the functionality, require the skill to (a) explicitly ask the user to supply legitimate source documents or credentials for any paid databases, (b) disclose how AI-rate is measured (which tool/endpoint), and (c) avoid fabricating citations. Given the deceptive nature and the documented mismatches, proceed only with caution and a clear understanding of the ethical and institutional consequences.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.