Product Analysis Skill

Analyzes market trends and competitor products to provide data-driven recommendations for product selection and optimization.

Security Scan

The skill's code, instructions, and requirements are coherent with a product-analysis purpose and do not request credentials or perform obvious exfiltration; it primarily runs local, mock analyses and uses the OpenClaw SubAgent API for parallel processing.

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).

Assessment

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.

name: laosi-product-analysis-skill version: 1.0.0 description: AI-powered product analysis skill for OpenClaw agents - analyzes market trends, competitor products, and provides recommendations for product selection and optimization author: laosi homepage: https://github.com/laosi/product-analysis-skill tags: [product, analysis, market-research, competitor-analysis, recommendations, e-commerce]