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Pattern Recognition
by
SecureCloudProjO
· GitHub ↗
· v1.0.0
· MIT-0
156
Downloads
0
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install pattern-recognition
Description
Identifies, learns, and applies patterns from operations, errors, and resources to generate templates, analyze efficiency, and suggest optimizations.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pattern-recognition - After installation, invoke the skill by name or use
/pattern-recognition - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is Pattern Recognition?
Identifies, learns, and applies patterns from operations, errors, and resources to generate templates, analyze efficiency, and suggest optimizations. It is an AI Agent Skill for Claude Code / OpenClaw, with 156 downloads so far.
How do I install Pattern Recognition?
Run "/install pattern-recognition" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pattern Recognition free?
Yes, Pattern Recognition is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Pattern Recognition support?
Pattern Recognition is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Pattern Recognition?
It is built and maintained by SecureCloudProjO (@securecloudprojo); the current version is v1.0.0.
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