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Install in OpenClaw
/install product-analysis-skill
Description
Analyzes market trends and competitor products to provide data-driven recommendations for product selection and optimization.
Usage Guidance
This skill appears internally consistent for product-analysis: it performs local, mock analyses and integrates with OpenClaw's SubAgent system for parallel processing. Before installing: (1) verify the publisher/source (registry metadata shows unknown source but files reference a GitHub URL) and prefer skills from known maintainers; (2) confirm your OpenClaw runtime provides the SubAgentManager API (batch_product_analyzer expects it in parent paths); (3) test the skill in a sandboxed agent to ensure SubAgent behavior and file writes are acceptable; and (4) be aware the analysis is currently mocked/static (defaults to bundled patterns) — if you expect live web/API data, review or extend the code to add secure, audited integrations.
Capability Analysis
Type: OpenClaw Skill
Name: product-analysis-skill
Version: 1.2.1
The skill bundle provides a framework for product market analysis using OpenClaw's SubAgent system. The core logic in product_analyzer.py and batch_product_analyzer.py implements mock analysis based on local JSON patterns and does not perform any unauthorized network requests, file access, or sensitive data exfiltration. No prompt injection or malicious instructions were found in SKILL.md or README.md.
Capability Assessment
Purpose & Capability
Name/description match the actual code: product_analyzer and batch processing files implement market-trend and competitor analysis (mocked). No unrelated credentials, binaries, or external services are requested. Minor note: metadata/version inconsistencies (registry lists v1.2.1, SKILL.md and claw.json show 1.0.0) and the README mentions a templates/config_template.json that is not present in the bundle.
Instruction Scope
SKILL.md is minimal and the runtime code stays within expected scope (reads local patterns file, processes product lists, writes local JSON reports). The batch manager imports an OpenClaw SubAgentManager from parent directories and creates SubAgents — this is consistent with the stated integration with OpenClaw's SubAgent system, but it does assume the agent runtime provides that subsystem.
Install Mechanism
No install spec; this is instruction/source-code-only. No external downloads, URLs, or package installs are present in the bundle.
Credentials
The skill requires no environment variables, credentials, or special config paths. The code only reads local files included in the package (market_patterns/default_patterns.json) and writes local batch result JSON files.
Persistence & Privilege
The skill does not request always:true and does not modify system/global agent settings. It can create SubAgents within the OpenClaw ecosystem (expected behavior given its batch-processing role).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install product-analysis-skill - After installation, invoke the skill by name or use
/product-analysis-skill - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.1
Version 1.2.1
- No file changes detected.
- This release contains no updates to functionality, features, or documentation.
v1.2.0
- Added batch analysis report: batch_results/batch_analysis_report_20260427_123328.json
- Introduced support for saving and reviewing batch product analysis outputs
v1.1.0
**Batch processing functionality added.**
- Introduced batch_product_analyzer.py to enable batch analysis of products.
- Added support for analyzing multiple products at once using test_products.json.
- Batch analysis results are now saved to structured JSON reports.
v1.0.0
Initial release of the laosi-product-analysis-skill.
- Provides AI-powered product analysis for OpenClaw agents.
- Analyzes market trends and competitor products.
- Offers recommendations for product selection and optimization.
- Suitable for use in e-commerce and market research scenarios.
Metadata
Frequently Asked Questions
What is Product Analysis Skill?
Analyzes market trends and competitor products to provide data-driven recommendations for product selection and optimization. It is an AI Agent Skill for Claude Code / OpenClaw, with 74 downloads so far.
How do I install Product Analysis Skill?
Run "/install product-analysis-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Product Analysis Skill free?
Yes, Product Analysis Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Product Analysis Skill support?
Product Analysis Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Product Analysis Skill?
It is built and maintained by 534422530 (@534422530); the current version is v1.2.1.
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