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Pattern Recognition

作者 SecureCloudProjO · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
156
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0
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2
当前安装
1
版本数
在 OpenClaw 中安装
/install pattern-recognition
功能描述
Identifies, learns, and applies patterns from operations, errors, and resources to generate templates, analyze efficiency, and suggest optimizations.
安全使用建议
This skill appears to do what it says: it scans the agent workspace for operations, logs, and metrics and writes learned patterns and suggestions back to a patterns folder. Before installing, review the contents of /home/openclaw/.openclaw/workspace (memory, logs, metrics) to ensure no sensitive secrets or credentials would be processed or exposed. Note there is no network/exfiltration code in the included scripts, but the SKILL.md references a 'pattern' CLI that isn't provided — verify how the skill will be invoked in your environment (you may need to run the Python scripts directly or provide a wrapper). If you want a safer test, run the scripts in a sandboxed environment with sample data first.
功能分析
Type: OpenClaw Skill Name: pattern-recognition Version: 1.0.0 The pattern-recognition skill is designed to analyze operation history, error logs, and resource metrics within the OpenClaw workspace to suggest optimizations and templates. The Python scripts (pattern_analyzer.py and pattern_learner.py) perform local file processing, using regex to generalize command structures and resource usage patterns without any evidence of network exfiltration, unauthorized execution, or workspace escapes.
能力评估
Purpose & Capability
The name/description match the included Python scripts: both learner and analyzer operate on operation history, logs, and metrics. One minor inconsistency: SKILL.md shows CLI usage (pattern ...) but no install spec or CLI wrapper is provided in the package — the repo contains Python scripts but not an installed 'pattern' command. Functionality requested (reading workspace markdown/log/metrics) is aligned with the stated purpose.
Instruction Scope
Runtime instructions and the scripts read files under /home/openclaw/.openclaw/workspace (memory/*.md, logs/*.log, metrics/*.json) and write patterns/suggestions/logs back into a patterns directory. This is appropriate for pattern-learning but means the skill will process potentially sensitive agent memory and logs; there are no network calls or external endpoints in the code.
Install Mechanism
No install spec (instruction-only) and only two Python scripts are included. This is low-risk from an install standpoint because nothing is downloaded or extracted from external URLs.
Credentials
The skill requests no environment variables or external credentials. It hardcodes a workspace path (/home/openclaw/.openclaw/workspace) which is reasonable for an agent-local analysis tool but gives it access to whatever lives in that workspace.
Persistence & Privilege
always is false and the skill does not modify other skills or global agent settings. It persists learned state and logs under the workspace patterns directory only.
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 pattern-recognition
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /pattern-recognition 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
v1.0.0
Initial release of advanced pattern recognition and learning for OpenClaw. - New skill for identifying, learning, and applying patterns in operations, errors, and workflows - Includes pattern learning, template generation, efficiency analysis, and optimization suggestions - Provides CLI commands for learning from logs, generating templates, analyzing efficiency, and getting recommendations - Introduces modular components (Pattern Learner, Template Generator, Efficiency Analyzer) - Supports installation, configuration, and integration with memory, watchtower, and specific agents
元数据
Slug pattern-recognition
版本 1.0.0
许可证 MIT-0
累计安装 2
当前安装数 2
历史版本数 1
常见问题

Pattern Recognition 是什么?

Identifies, learns, and applies patterns from operations, errors, and resources to generate templates, analyze efficiency, and suggest optimizations. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 156 次。

如何安装 Pattern Recognition?

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

Pattern Recognition 是免费的吗?

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

Pattern Recognition 支持哪些平台?

Pattern Recognition 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 Pattern Recognition?

由 SecureCloudProjO(@securecloudprojo)开发并维护,当前版本 v1.0.0。

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