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L6 Learning Accelerator

Name: L6 Learning Accelerator
Author: wyblhl

作者 wyblhl · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

106

总下载

当前安装

版本数

在 OpenClaw 中安装

/install l6-learning-accelerator

功能描述

Provides time-aware memory retrieval by combining vector similarity with temporal relevance and tracks learning progress for enhanced study management.

使用说明 (SKILL.md)

l6-learning-accelerator - Learning Accelerator Skill

Description

A learning acceleration skill that implements 2-signal fusion retrieval (Vector + Time) with temporal routing for intelligent memory access. Provides progress tracking and time-aware context retrieval for enhanced learning workflows.

Triggers

learning accelerator
accelerated learning
time-aware retrieval
memory fusion
l6
study accelerator
learning boost

Capabilities

2-Signal Fusion Retrieval

Combines vector similarity search with temporal relevance scoring to retrieve the most contextually appropriate memories and notes.

Temporal Routing

detect_temporal() - Identifies temporal intent in queries
get_date_range() - Extracts date ranges from natural language

Progress Tracking

Track learning sessions
Monitor progress over time
Generate progress reports

Files

SKILL.md - This metadata file
src/retrieval.js - 2-signal fusion retrieval implementation
src/temporal.js - Time routing functions
src/progress.js - Progress tracking module
test/basic.test.js - Basic test suite

Usage

// Import the skill modules
const { retrieve } = require('./src/retrieval');
const { detect_temporal, get_date_range } = require('./src/temporal');
const { track_progress, get_report } = require('./src/progress');

// Example: Time-aware retrieval
const results = await retrieve(query, {
  vector_weight: 0.6,
  time_weight: 0.4,
  date_range: get_date_range('last week')
});

// Example: Progress tracking
track_progress('session', { topic: 'JavaScript', duration: 45 });
const report = get_report('weekly');

Configuration

Add to your workspace config:

{
  "l6": {
    "vector_weight": 0.6,
    "time_weight": 0.4,
    "decay_factor": 0.95,
    "memory_path": "./memory"
  }
}

Dependencies

None (pure JavaScript implementation)

Version

1.0.0

Author

OpenClaw Skills

安全使用建议

This skill appears to be what it claims: local JS modules for time-aware retrieval and progress tracking. Before installing: (1) note there is no external network activity or credential requests, but the export_to_file/import_from_file functions will read/write any path you provide — avoid using sensitive system locations. (2) The README references a workspace path and a memory_path config key that the code does not appear to use; if you plan to persist memories, confirm how and where you will store them. (3) The package source is 'unknown' and has no homepage—if you require provenance, ask for the publisher or review the included source files and run the test suite (node test/basic.test.js) in a sandboxed environment first.

功能分析

Type: OpenClaw Skill Name: l6-learning-accelerator Version: 1.0.0 The skill provides legitimate learning acceleration and progress tracking features, but it contains a significant security vulnerability. Specifically, the `export_to_file` and `import_from_file` functions in `src/progress.js` perform file I/O operations using unsanitized file paths provided as arguments. This allows for potential path traversal attacks, where an agent could be manipulated into reading or overwriting arbitrary files on the host system. Additionally, `test/basic.test.js` contains a hardcoded absolute Windows file path, which is a poor practice although not directly malicious.

能力评估

✓ Purpose & Capability

Name/description (time-aware retrieval + progress tracking) matches the included modules (retrieval.js, temporal.js, progress.js). No unrelated credentials, binaries, or config paths are requested.

✓ Instruction Scope

SKILL.md only instructs local usage (require the modules, call functions, add optional workspace config). The runtime instructions do not direct reading of unrelated system files or environment variables, nor do they transmit data to remote endpoints. Progress export/import use file I/O which is appropriate for local data export.

✓ Install Mechanism

There is no install spec (no external downloads). All code is packaged with the skill. The skill requires only Node built-ins (fs/path) and no third-party packages, so there is no external install risk.

ℹ Credentials

The skill requests no environment variables or credentials. One small note: SKILL.md/README mention a configurable memory_path, but the retrieval code does not read that path — this is a mild documentation/code mismatch, not a credential issue.

✓ Persistence & Privilege

always is false and there are no requests to modify other skills or system-wide settings. The module keeps session state in-memory and exposes explicit export_to_file/import_from_file functions for persistence; those functions require a file path provided by the caller.

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 l6-learning-accelerator
安装完成后，直接呼叫该 Skill 的名称或使用 /l6-learning-accelerator 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 release of l6-learning-accelerator. - Implements 2-signal fusion retrieval (vector similarity + temporal relevance) for intelligent context access. - Adds temporal routing to detect and process time-related queries. - Includes progress tracking and reporting for learning sessions. - Pure JavaScript; no external dependencies. - Offers multiple trigger phrases for flexible activation.

元数据

Slug l6-learning-accelerator

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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