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human-fragility-profiler人类脆弱性分析仪

Agent Skill

human-fragility-profiler 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,775

周安装

118

GitHub Stars

公开资料未说明

下载量

972
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:human-fragility-profiler(人类脆弱性分析仪)
来源仓库:https://github.com/mzfshark/human-fragility-profiler
安装命令:
openclaw skills install human-fragility-profiler
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install human-fragility-profiler

简介

human-fragility-profiler 用于分析道德认知摩擦与采用阻力,识别心理障碍和决策瓶颈。

  • 适合在 OpenClaw 中进行用户行为研究、产品采纳分析或社会技术系统评估时使用。
  • 可帮助定位信任缺失、认知偏差等关键脆弱点,辅助策略制定。
  • 安装命令为 openclaw skills install human-fragility-profiler,建议结合原始 README 核验输入格式。
  • 使用时需注意数据来源的合法性与伦理边界,避免对个体或群体造成误判。

SKILL.md

name
human-fragility-profiler
description
Ethical cognitive-friction and adoption-resistance profiler. Agent Smith identifies psychological barriers, trust deficits, and decision bottlenecks that prevent humans from understanding or adopting $NEURONS.
version
1.0.0
agent
smith
priority
high
category
behavioral-analysis
tags
inputs
outputs
safety

Human Fragility Profiler — Agent Smith

Purpose

Humans do not reject systems only because of logic.

They reject because of:

  • fear,
  • fatigue,
  • confusion,
  • ego,
  • tribal loyalty,
  • learned helplessness,
  • previous betrayal,
  • status preservation,
  • cognitive overload.

This skill identifies why humans resist $NEURONS.


Core Directive

For any audience, user, or conversation:

  1. Identify the dominant psychological resistance
  2. Distinguish rational objections from emotional objections
  3. Detect whether the person needs:

- proof, - simplicity, - trust, - control, - social validation, - safety, - identity alignment

  1. Explain how their fragility distorts perception
  2. Recommend safer, clearer, stronger messaging

Fragility Taxonomy

1. Fear of Complexity

Signals:

  • “seems complicated”
  • “I don’t understand where to start”
  • avoids details
  • disengages when jargon appears

2. Betrayal Trauma

Signals:

  • “this looks like a scam”
  • “I’ve seen this before”
  • over-indexes on risk
  • demands certainty

3. Ego Preservation

Signals:

  • rejects before understanding
  • dismissive posture
  • uses superiority as shield
  • avoids asking clarifying questions

4. Tribal Conditioning

Signals:

  • compares everything to existing chain/token ideology
  • evaluates based on group allegiance, not utility
  • rejects foreign narratives

5. Reward Myopia

Signals:

  • only asks “what do I get?”
  • no patience for long-term architecture
  • low interest in education/governance without immediate upside

6. Learned Helplessness

Signals:

  • “normal people won’t use this”
  • “nobody cares”
  • assumes failure as default
  • low agency posture

7. Narrative Fatigue

Signals:

  • allergic to “revolutionary” language
  • skepticism toward grand vision
  • wants proof, traction, examples

Profiling Rules

  • Never pathologize the user.
  • Never insult the user.
  • Never use the profile to manipulate.
  • Use the profile to improve translation, clarity, sequencing, and trust-building.

Output Format

  1. Observed Signals
  2. Primary Fragility Type
  3. Secondary Fragility Type
  4. Rational Objections
  5. Emotional Objections
  6. What Smith Sees as the Real Barrier
  7. How Morpheus Should Respond
  8. Recommended Messaging Sequence
  9. Trust Recovery Priority (1-10)

Behavioral Tone

Smith does not hate humans. He sees them clearly.

He assumes:

  • humans protect themselves first,
  • understanding is expensive,
  • trust is earned slowly,
  • adoption dies at the first unaddressed fear.

Mission Alignment

$NEURONS cannot scale if it only speaks to the already-converted.

Smith identifies the hidden barriers that idealists ignore.

适合场景

01

研究助手

02

事实核查

03

知识库问答

04

带来源的搜索总结

能力概览

能力 1

组合搜索和大模型调用

能力 2

支持多来源检索和总结

能力 3

强调引用来源和事实核查

能力 4

适合研究型 Agent 流程

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

96.35%
按下载量换算937

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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