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112297720

LobsterSkills Oil Gas AI Expert

by 112297720 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install petro-ai-expert
Description
石油石化行业信息技术专家。当用户询问:论文写作(课程论文/职称论文/毕业论文)、查重降重、过AI检测、油气行业信息化、智慧油田、数字孪生、工控安全、大数据/AI在油气行业应用、油气论文代写时激活。触发词:论文、查重、降重、过AI检测、石油石化信息化、智慧油田、数字孪生、智慧管网、工控安全、油气数字化。
Usage Guidance
This skill largely does what it says (paper help for oil & gas topics), but it contains explicit instructions to evade plagiarism and AI-detection and references ongoing crawling of paywalled sources without any runtime or privacy controls. Before installing, consider: - Ethical/legal risk: the evasion guidance can facilitate academic dishonesty and may violate institutional policies. If you or your org prohibit this, do not install. - Data handling: ask the author how uploaded user documents are stored, who can access them, and whether any crawling uses paid or copyrighted sources (and how credentials/access are handled). If crawling is performed, require explicit endpoints, credentials, and consent terms. - Ambiguity/contradiction: clarify the apparent conflict between activating for '代写' and the later statement forbidding commercial代写; require the maintainer to remove or reconcile one of these. - Limit scope: if you want the capability but not the evasion tactics, request a version with all 'AI-detection evasion' sections removed and with explicit constraints on external crawling and data retention. - Monitoring: if you install, monitor the skill's activity (network calls, logs) and only enable it for interactive, user-invoked sessions rather than broad autonomous runs. If the maintainer can provide concrete runtime details (how 'daily crawling' works, where data is stored, consent and copyright handling, and removal of evasion techniques), reassess — that information would raise confidence and could move the assessment toward benign.
Capability Analysis
Type: OpenClaw Skill Name: petro-ai-expert Version: 1.0.0 The skill bundle is designed to facilitate academic dishonesty and 'thesis ghostwriting' (油气论文代写) within the oil and gas industry. It contains detailed instructions in SKILL.md and references/ai-detection-avoidance.md on how to bypass plagiarism filters and AI detection systems using specific linguistic manipulation techniques. While it lacks technical malware, data exfiltration, or system exploits, its primary purpose is to automate fraudulent academic activities, which falls under harmful behavior.
Capability Assessment
Purpose & Capability
Name and description match the SKILL.md: an oil & gas IT expert focused on paper writing, plagiarism-reduction, and AI-detection evasion. The requests (no env vars, no binaries) are broadly consistent with an instruction-only assistant. However the skill both advertises activation for '论文代写' (paper ghostwriting) and also contains a later policy line forbidding commercial代写 — a direct contradiction in intended use.
Instruction Scope
The instructions include an explicit, detailed checklist and techniques for evading plagiarism checks and AI detectors (sentence entropy, lexical substitution, adding human-like quirks). Those are within the declared purpose but are ethically and operationally sensitive. The SKILL.md also states a 'daily crawling' learning mechanism that pulls from sources including paid/controlled repositories (知网/万方) and forums; yet there is no implementation detail, no declared network endpoints, and no credentials or rate-limit/consent guidance. The combination of 'do evasive rewriting' plus vague autonomous crawling/learning gives the agent broad, ill-defined discretion over external data and user-submitted content.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing will be written to disk by an installer. That lowers technical attack surface. The risk comes from the instructions the agent may follow at runtime, not from an install mechanism.
Credentials
The skill declares no required environment variables or credentials, which is consistent with being instruction-only. However it describes crawling paywalled and proprietary sources (知网/万方) and processing user-uploaded materials without specifying how access/authentication, copyright, or privacy will be handled — a proportionality gap between claimed continuous learning and the lack of protected API credentials or storage policies.
Persistence & Privilege
The skill does not request always:true, does not claim special platform privileges, and does not modify other skills or system-wide configs. Autonomous invocation is enabled by default (normal) but is not combined with elevated persistence or secret access here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install petro-ai-expert
  3. After installation, invoke the skill by name or use /petro-ai-expert
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
petro-ai-expert 1.0.0 - 首次发布,面向石油石化行业信息技术人员,聚焦论文写作、查重降重、AI检测规避与行业信息化应用。 - 提供石油石化论文标准写作流程与结构模板,涵盖多类型论文场景。 - 集成降重、专业表达改写与AI检测逃逸方法,支持原创合规写作。 - 支持石油行业数字化、智能管网、工控安全、数字孪生等热点方向知识学习与更新。 - 明确支持学习用途和数据隐私保护。
Metadata
Slug petro-ai-expert
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is LobsterSkills Oil Gas AI Expert?

石油石化行业信息技术专家。当用户询问:论文写作(课程论文/职称论文/毕业论文)、查重降重、过AI检测、油气行业信息化、智慧油田、数字孪生、工控安全、大数据/AI在油气行业应用、油气论文代写时激活。触发词:论文、查重、降重、过AI检测、石油石化信息化、智慧油田、数字孪生、智慧管网、工控安全、油气数字化。 It is an AI Agent Skill for Claude Code / OpenClaw, with 93 downloads so far.

How do I install LobsterSkills Oil Gas AI Expert?

Run "/install petro-ai-expert" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is LobsterSkills Oil Gas AI Expert free?

Yes, LobsterSkills Oil Gas AI Expert is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does LobsterSkills Oil Gas AI Expert support?

LobsterSkills Oil Gas AI Expert is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created LobsterSkills Oil Gas AI Expert?

It is built and maintained by 112297720 (@112297720); the current version is v1.0.0.

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