academic-humanization-low-ai
v1.0.0对学术文本进行深度人类化重写以降低AI率。用于AI生成的学术文本需要降低AI检测特征时使用。
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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
The name/description and SKILL.md consistently describe a text-rewriting tool whose goal is to remove AI-generation features. There are no unrelated required binaries, env vars, or config paths that would contradict the stated purpose.
Instruction Scope
The instructions are narrowly scoped to transforming the provided input text ({{text}}) according to detailed linguistic heuristics. They do not instruct reading local files, environment variables, or sending data to external endpoints. Note: the instructions explicitly describe techniques to evade AI-detection, which is a potential misuse but does not make the instruction scope incoherent.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes persistence and disk writes; nothing is downloaded or installed.
Credentials
The skill requests no environment variables, credentials, or config paths. The required privilege surface is minimal and proportional to an instruction-only rewriting tool.
Persistence & Privilege
always is false and agent invocation is default (allowed). The skill does not request persistent or elevated privileges, nor does it modify other skills or system-wide settings.
Assessment
This skill is internally consistent and requires no credentials or installs, but it is explicitly designed to help evade AI-detection systems. Before installing or using it, consider legal and ethical risks (academic integrity, publisher or institution policies, and terms of service). If you proceed, test only on non-sensitive, non-confidential text and avoid using it to deceive or commit misconduct. If you need an alternative: consider tools that improve clarity or readability without explicitly aiming to hide AI provenance.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.