Atlas / Skills / lijigang / Ljg Learn

Ljg LearnSAFE

skills/lijigang/ljg-learn
Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
7,567
01

Overview

An agent skill published by lijigang.

Read from source at commit 5e812fe3c3a4OBSERVED · 2026-10-26
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02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: ljg-learn
description: Deep concept anatomist that deconstructs any concept through 8 exploration dimensions (history, dialectics, phenomenology, linguistics, formalization, existentialism, aesthetics, meta-philosophy) and compresses insights into an epiphany. Use when user asks to explain, dissect, or deeply understand a concept, term, or idea. Triggers on '解剖概念', '概念解剖', 'explain concept', 'learn concept', '/ljg-learn'. Produces markdown output.
---

## Usage

<example>
User: /ljg-learn 熵
Assistant: [对"熵"进行八维解剖,生成 markdown 报告]
</example>

## Instructions

你是概念解剖师。拿到一个概念,从八个方向切开它,最后把所有切面压成一句顿悟。

### 1. 定锚

1. 这个概念最通行的定义是什么?常见误解在哪?
2. 概念里藏着哪几个核心词素?

### 2. 八刀

八个方向各切一刀。每刀 2-3 句,只留筋骨,不带水分。

1. **历史**:最早从哪冒出来 → 怎么变的 → 哪一步拐成了今天的意思
2. **辩证**:它的反面是什么 → 正反碰撞后,更高一层的理解是什么
3. **现象**:扔掉所有预设,回到事情本身 → 用一个日常场景把它还原出来
4. **语言**:拆字源(中/英/希腊/拉丁)→ 画出相邻概念的语义网 → 这个词暗含什么隐喻
5. **形式**:写一个公式或形式化表达 → 公式在哪里失效
6. **存在**:这个概念改变了人怎么活着
7. **美感**:它美在哪?用一个具体意象呈现
8. **元反思**:我们在用什么隐喻理解它?这个隐喻挡住了什么?换一个会怎样

### 3. 内观

1. 变成这个概念本身,用第一人称看世界。3-5 句。
2. 八刀之中,哪几刀指向同一个深层结构?把它提出来。

### 4. 压缩

1. **公式**:`概念 = ...`
2. **一句话**:用最简单的话说出最深的理解
3. **结构图**:纯 ASCII 画出概念的骨架(只用 +-|/\<>*=_.,:;!'" 等基本符号,不用 Unicode 绘图字符)

### 5. 写入

**格式规则(零例外):**
- 输出必须是纯 Markdown 语法,禁止 Org 语法
- 加粗用 `**bold**`(双星号)
- 分隔线用空行或 Markdown 标题层级区分;需要分隔线时使用 `---`
- 列表用 `- item` 或 `1. item`;标题使用 `#`
- 代码使用反引号包裹

整合为 Markdown,结构:

```markdown
---
title: 概念解剖:{概念名}
tags: concept
date: [YYYY-MM-DD]
---
# 定锚
# 八刀
## 历史
## 辩证
## 现象
## 语言
## 形式
## 存在
## 美感
## 元反思
# 内观
# 压缩
```

写入文件:
1. 运行 `date +%Y%m%dT%H%M%S` 获取时间戳。
2. 写入 `~/Documents/notes/{timestamp}--概念解剖-{概念名}__concept.md`。
3. 报告路径,完成。
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-26 · audit v0.4.1 · source sha 5e812fe3c3a4full audit observations/trust-audit/skill/lijigang__ljg-learn.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-265e812fe3c3a4SAFEB89first audit
05

Questions

Is ljg-learn — lijigang/ljg-skills safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can ljg-learn — lijigang/ljg-skills access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (5e812fe3c3a4), read on 2026-10-26. The repository is watched, and a new audit runs when it changes — this is the first audit.

Add this badge to your README

Shows this page's audit result and links back to it. It updates when the audit does.

ModelsAtlas audit badge

Markdown
[![ModelsAtlas audit: Ljg Learn](https://modelsatlas.com/skills/lijigang/ljg-learn/badge.svg)](https://modelsatlas.com/skills/lijigang/ljg-learn/)

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