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Text Detection
作者
raghulpasupathi
· GitHub ↗
· v1.0.0
568
总下载
1
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install text-detection
功能描述
Analyzes text using NLP, GPT pattern detection, and regex matching to identify AI-generated content with configurable accuracy and speed.
安全使用建议
This skill appears to do what it says (detect AI-generated text), but its SKILL.md expects the agent/operator to run npm installs of several @clawhub packages while the published metadata lists no install requirements or source/homepage. Before installing or enabling this skill: 1) Ask the publisher for source repositories or package URLs and verify the npm packages (@clawhub/*) exist and are trustworthy. 2) Confirm whether your agent environment permits npm installs and whether those installs are sandboxed — avoid running unvetted npm installs on production hosts. 3) Prefer a skill that provides an explicit install specification and verified package origins (GitHub releases, official project pages). 4) If you must test it, run it in an isolated sandbox/container and inspect the installed packages (review package.json, postinstall scripts) before granting broader access. 5) If you cannot verify package provenance, treat the runtime npm install requirement as a significant risk and do not enable the skill on sensitive systems.
功能分析
Type: OpenClaw Skill
Name: text-detection
Version: 1.0.0
The skill bundle describes various text detection capabilities and provides standard instructions for installing and using them. The `SKILL.md` file contains `npm install` commands for packages within the `@clawhub` scope, which are necessary for the stated purpose of the skills. There is no evidence of intentional harmful behavior, data exfiltration, persistence mechanisms, or prompt injection attempts designed to subvert the agent's function beyond its stated purpose. The risks are limited to general supply chain concerns inherent in any dependency management, not specific malicious intent within the skill bundle's content itself.
能力评估
Purpose & Capability
The name and description (text/AI-generated detection) align with the components the SKILL.md lists: NLP toolkit, GPT-pattern analyzer, pattern matcher, classifiers, hashing and optional fact-checker. The listed capabilities (perplexity, pattern matching, classifier integration) are coherent with a text-detection skill.
Instruction Scope
SKILL.md explicitly instructs the agent/operator to run npm install commands and import runtime packages (e.g., npm install @clawhub/nlp-toolkit). It does not instruct reading unrelated files or secrets, but it assumes the runtime can install and import node packages and execute JS. The instructions also refer to configuration and caching, but provide no runtime sandboxing guidance. Because the registry metadata lists no required binaries or install steps, this discrepancy is concerning: the instructions expect npm access but the skill metadata claims nothing is required.
Install Mechanism
There is no install spec in the registry (instruction-only), yet the SKILL.md directs installing multiple npm packages from an unverified @clawhub scope. That implies runtime downloads and code execution from the public npm registry (or other npm sources). The skill lacks source/homepage and package provenance, increasing risk: npm packages can contain arbitrary code. This is higher-risk than a purely instruction-only skill that does not call network/package installs.
Credentials
The skill declares no required environment variables, credentials, or config paths, and SKILL.md does not ask for secrets or unrelated system credentials. The absence of declared env/credentials is proportionate to the stated purpose. However, the SKILL.md's implicit need for npm and caching/storage access (to store downloaded packages and caches) is an un-declared resource requirement.
Persistence & Privilege
always is false and autonomous invocation is allowed by default (normal). The SKILL.md does not request persistent modification of system or other skills' configuration. However, because it instructs npm installs at runtime, it could cause persistent files (node_modules, caches) to be written to disk — this is not explicitly declared in the metadata and is worth noting.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install text-detection - 安装完成后，直接呼叫该 Skill 的名称或使用
/text-detection触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial public release of text-detection skills.
- Provides a modular guide to analyzing and detecting AI-generated text content.
- Documents core and recommended skills: nlp-toolkit, gpt-analyzer, pattern-matcher, text-classifier, hash-toolkit, sentiment-analyzer, and fact-checker.
- Includes configuration, usage examples, troubleshooting tips, and skill stack suggestions for various scenarios.
- Performance metrics and optimization options outlined for each skill.
- Combines NLP, pattern detection, fingerprinting, and classification for robust AI text analysis.
元数据
常见问题
Text Detection 是什么？
Analyzes text using NLP, GPT pattern detection, and regex matching to identify AI-generated content with configurable accuracy and speed. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 568 次。
如何安装 Text Detection？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-detection」即可一键安装，无需额外配置。
Text Detection 是免费的吗？
是的，Text Detection 完全免费（开源免费），可自由下载、安装和使用。
Text Detection 支持哪些平台？
Text Detection 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Text Detection？
由 raghulpasupathi（@raghulpasupathi）开发并维护，当前版本 v1.0.0。
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