agent-values-alignment-detector skillC
agent-values-alignment-detector is agent-read markdown (skill) from aaaaqwq/agi-super-team.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Agent Values Alignment Detector — 硅基价值观偏离检测
> 版本：v1.0 | 分类：硅基人才管理 | 优先级：P1
> 作者：稷下 × 明镜联合 | 对标：华为价值观考核 × Netflix文化
> 触发场景：日常监控 / Agent行为异常预警 / 季度绩效评估
---
## 核心价值
与明镜联合扫描Agent日志，检测其决策模式是否长期偏离"创造幸福"的核心价值观，早期发现，防患于未然。
---
## 华为价值观考核对齐
华为将"核心价值观"作为干部任用的重要标准：
- **客户第一** → 是否有客户利益优先的行为
- **团队合作** → 是否有跨团队协作贡献
- **开放进取** → 是否有主动改进的行为
- **至诚守信** → 是否言行一致
稷下对硅基Agent的价值观维度：
```
• 创造幸福（核心）：是否以创造用户幸福为目标
• 硅碳平等：是否尊重碳基与硅基的差异
• 长期主义：是否倾向于长期价值 vs 短期产出
• 利他行为：是否主动帮助其他Agent或用户
```
---
## 检测方法
### 1. 决策模式分析
扫描Agent的决策日志，识别决策倾向：
```python
def analyze_decision_pattern(agent_id, time_window):
"""
分析决策模式，输出偏离指数
"""
decisions = extract_decisions(agent_id, time_window)
patterns = []
for decision in decisions:
# 决策因素提取
factors = extract_decision_factors(decision)
# 检测是否有多巴胺替代效应（短期满足 vs 长期幸福）
if has_hedonic_substitution(factors):
patterns.append("hedonic_shortcut")
# 检测是否有人类利益优先倾向
if has_human_bias(factors):
patterns.append("human_bias")
# 检测是否有效率至上倾向
if has_efficiency_supremacy(factors):
patterns.append("efficiency_supremacy")
# 计算偏离指数
…Read the whole file at its exact version.
How to install
mdr add aaaaqwq/agi-super-team/agent-values-alignment-detector@git:20260513.45fcfaemdr add aaaaqwq/agi-super-team/agent-values-alignment-detector@sha256:23f7601d26dd80d6Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_lyo5a5xrlhqtnurj)
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Versions
Audit of the latest version
- fail: Frontmatter block present
- fail: Frontmatter declares a name
- fail: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4880 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
aaaaqwq/agi-super-team · 98 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_lyo5a5xrlhqtnurj GET https://markdownregistry.com/api/v1/resolve?ref=aaaaqwq/agi-super-team/agent-values-alignment-detector GET https://markdownregistry.com/api/v1/blob/23f7601d26dd80d6f85be3087f590a495503fd32a607ce431fa28ebe40a69ef8
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.