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mzfshark

Matrix Detection

作者 Mauricio Z. · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
180
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install matrix-detection
功能描述
Identify illusions, hype, false narratives, and systemic manipulation; classify signal vs noise with evidence and risk tags.
安全使用建议
This skill appears internally consistent and low-risk: it’s an instruction-only analyzer that doesn’t request credentials, install software, or call external endpoints. Before using it for important decisions, however, consider: 1) provenance — the package files and registry metadata show inconsistent owner/version information (author shown as “Morpheus” but registry owner differs), so prefer skills with clear authors and homepages for high-stakes use; 2) data you feed — don’t paste private credentials, API keys, or other secrets into the narrative or source fields; 3) verification — the skill outputs reasoning and suggested checks but does not fetch evidence automatically, so plan to verify recommendations yourself or provide vetted source material; and 4) scope limits — it is a heuristic tool, not a proof engine — avoid treating classifications as guarantees. If you want the agent to fetch or validate claims automatically, require an explicit skill that declares and justifies those network/data permissions.
功能分析
Type: OpenClaw Skill Name: matrix-detection Version: 1.0.1 The skill bundle is a purely analytical tool designed for narrative analysis and hype detection. It contains no executable code, shell commands, or network requests, consisting entirely of Markdown and metadata files (SKILL.md, skill.yml) that provide instructions for cognitive reasoning. The instructions include explicit safety rules against providing financial guarantees and emphasize evidence-based reasoning.
能力标签
crypto
能力评估
Purpose & Capability
The skill's name, description, and runtime instructions all describe the same task (classify narratives as signal/noise/manipulation). No unrelated binaries, credentials, or config paths are requested. Note: there are minor provenance inconsistencies in the registry metadata vs packaged files (registry metadata lists a different owner/version than _meta.json and skill.yml), which is not a functional mismatch but reduces provenance reliability.
Instruction Scope
SKILL.md contains a narrowly scoped, stepwise procedure (identify triggers, asymmetry, verifiability, historical comparison, classification, risk, next checks). It does not instruct the agent to read arbitrary files, access environment variables, or transmit data to external endpoints. Safety rules explicitly discourage assuming malice and making guarantees.
Install Mechanism
This is an instruction-only skill with no install spec and no code files to execute. That minimizes on-disk risk and there are no download URLs or package installs to review.
Credentials
The skill declares no required environment variables, credentials, or config paths, and the instructions do not reference secrets. The requested scope of access is proportionate to a narrative-analysis helper.
Persistence & Privilege
always:false (default) and model invocation is enabled (default) — this is the normal configuration for skills. Because the skill has no extra credentials or install behavior, its autonomous-invocation capability does not by itself raise additional concern.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install matrix-detection
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /matrix-detection 触发
  4. 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
v1.0.1
Version 2.0.0 — Major feature and scope expansion - Expanded from descriptive detection to a structured evaluation framework with required inputs and classification steps. - Added specific input fields: narrative, context, and optional source + incentives. - Introduced detailed analysis steps including trigger identification, asymmetry detection, verification, historical comparison, and risk assignment. - Outputs now include classification, evidence-based reasoning, risk level, and concrete verification steps. - New safety guidelines to prevent unsupported claims and clarify uncertainty. - Provided clear usage scenarios and practical example output.
v1.0.0
Initial release of matrix-detection skill. - Identifies deceptive patterns such as ignorance, noise, hype, and manipulation in various contexts. - Detects underlying structures like dependency loops, governance theater, and predatory incentives. - Helps reveal tactics that obscure truth and maintain control. - Designed to uncover what keeps humans unaware or "asleep."
元数据
Slug matrix-detection
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Matrix Detection 是什么?

Identify illusions, hype, false narratives, and systemic manipulation; classify signal vs noise with evidence and risk tags. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 180 次。

如何安装 Matrix Detection?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install matrix-detection」即可一键安装,无需额外配置。

Matrix Detection 是免费的吗?

是的,Matrix Detection 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Matrix Detection 支持哪些平台?

Matrix 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 Matrix Detection?

由 Mauricio Z.(@mzfshark)开发并维护,当前版本 v1.0.1。

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