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Online Analysis
by
shineniefei
· GitHub ↗
· v1.0.0
· MIT-0
258
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1
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Install in OpenClaw
/install test-online-analysis
Description
Online (real-time) data analysis, rule extraction, and pattern recognition for testing scenarios. Activate when user mentions test online analysis, real-time...
Usage Guidance
This package is inconsistent: it promises streaming/DB ingestion and multiple analysis components, but only includes two local scripts that process files. Before installing or running it: 1) Review the missing referenced scripts (pattern_recognizer.py, test_case_generator.py) — ask the author or obtain a complete package. 2) Inspect the code in the included scripts (already small and readable) and run them in a sandbox with non-sensitive sample data to confirm behavior. 3) Do not pipe sensitive production logs, credentials, or database dumps into these tools until you verify what they do. 4) If you expect real-time stream or DB integrations, either implement secure connector code that clearly documents credential handling or demand that the skill declare required env vars/permissions. 5) Consider disabling autonomous invocation or limiting the skill's activation keywords until you confirm it only performs local file analysis.
Capability Analysis
Type: OpenClaw Skill
Name: test-online-analysis
Version: 1.0.0
The skill bundle provides legitimate tools for real-time data analysis, rule extraction, and anomaly detection in testing scenarios. The provided Python scripts (scripts/anomaly_detector.py and scripts/rule_extractor.py) implement standard statistical and regex-based logic to process logs and JSON data without any evidence of malicious intent, data exfiltration, or unauthorized system access.
Capability Assessment
Purpose & Capability
The name/description promise real-time streaming, database query ingestion, and ML-based pattern recognition. The shipped artifacts only include two local scripts (rule_extractor.py and anomaly_detector.py) that operate on local files/JSON arrays and do not implement network/stream or DB connectors. README/SKILL.md also reference additional scripts (pattern_recognizer.py, test_case_generator.py) which are absent from the package. This is an inconsistency: the claimed capabilities exceed what the included code actually provides.
Instruction Scope
SKILL.md instructs the agent to accept log files, real-time API streams, and database queries and says it will 'connect to real-time data source' and 'establish baseline from historical data.' The provided scripts only read local files or generate synthetic data and have no network, DB, or streaming code. The instructions also reference exporting results and automatic activation on keywords — behavior that is plausible but not backed by implementation. The skill therefore instructs usage outside the scope of the actual code.
Install Mechanism
There is no formal install spec; this is effectively instruction-only with bundled scripts. The README suggests 'pip install numpy' (a minimal dependency). No downloads from external/untrusted URLs or archive extraction are used. Risk from install mechanism itself is low, but verify the environment-level pip call if you choose to run scripts.
Credentials
The skill does not request environment variables, credentials, or config paths. That is proportionate to the provided local-file-processing scripts. However, the SKILL.md's claims about connecting to streams/DBs would typically require credentials — the absence of any declared env/credential handling is another inconsistency to be aware of.
Persistence & Privilege
always is false and the skill does not request elevated or persistent presence. It is user-invocable and allows model invocation (platform default). There is no code that modifies agent configuration or other skills. No privilege escalation indicators in the package.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install test-online-analysis - After installation, invoke the skill by name or use
/test-online-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the test-online-analysis skill.
- Provides real-time data analysis, automated rule extraction, testing scenario pattern recognition, and anomaly detection.
- Supports ingestion of logs, API streams, or database queries for automated analysis.
- Generates structured documentation, test case suggestions, and anomaly reports.
- Includes scripts for rule extraction, pattern recognition, anomaly detection, and test case generation.
Metadata
Frequently Asked Questions
What is Online Analysis?
Online (real-time) data analysis, rule extraction, and pattern recognition for testing scenarios. Activate when user mentions test online analysis, real-time... It is an AI Agent Skill for Claude Code / OpenClaw, with 258 downloads so far.
How do I install Online Analysis?
Run "/install test-online-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Online Analysis free?
Yes, Online Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Online Analysis support?
Online Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Online Analysis?
It is built and maintained by shineniefei (@shineniefei); the current version is v1.0.0.
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