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Review Defect Miner
by
LeroyCreates
· GitHub ↗
· v1.0.0
· MIT-0
262
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install review-defect-miner
Description
Extract and cluster product defect signals from ecommerce reviews to prioritize quality fixes and address low ratings or negative sentiment.
Usage Guidance
This skill is instruction-only and internally consistent with its stated purpose. Before using it: (1) avoid submitting sensitive PII in review texts (the skill preserves evidence snippets but offers no redaction guidance); (2) validate any outputs before acting on them (clustering and severity judgments are heuristic); (3) note the licensing terms (CC BY-NC-SA for non-commercial use; commercial use requires a paid license from Razestar); and (4) because it’s instruction-only there’s no install payload, but if you plug it into an agent that can act autonomously, review agent permissions/logs to make sure outputs aren’t automatically transmitted to external systems you don't control.
Capability Analysis
Type: OpenClaw Skill
Name: review-defect-miner
Version: 1.0.0
The skill bundle is a text-analysis tool designed to process customer reviews and identify product defects. It contains no executable code, shell commands, or network requests. The instructions in SKILL.md and the template in output-template.md are strictly focused on data normalization and reporting, with no evidence of prompt injection or malicious intent.
Capability Assessment
Purpose & Capability
The name/description (extract and cluster defect signals from ecommerce reviews) aligns with the SKILL.md workflow. There are no unrelated requirements (no cloud creds, no binaries, no config paths) that would be disproportionate to the stated purpose.
Instruction Scope
SKILL.md provides a scoped workflow (normalize text, detect themes, score, output backlog) and an explicit output template. It does not instruct reading system files, environment variables, or sending data to external endpoints. One user-facing consideration: the skill asks to "preserve original evidence snippets" but gives no guidance on redacting PII or handling sensitive user data — you should avoid feeding sensitive PII into the skill or add redaction steps.
Install Mechanism
No install spec and no code files beyond instructional markdown. Nothing is written to disk or downloaded by the skill itself, minimizing install-time risk.
Credentials
No required environment variables, credentials, or config paths are declared. The SKILL.md does not reference hidden env vars. Credential demands are proportional (none).
Persistence & Privilege
always is false and model invocation is allowed (platform default). The skill does not request persistent presence or ask to modify other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install review-defect-miner - After installation, invoke the skill by name or use
/review-defect-miner - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: review defect clustering
Metadata
Frequently Asked Questions
What is Review Defect Miner?
Extract and cluster product defect signals from ecommerce reviews to prioritize quality fixes and address low ratings or negative sentiment. It is an AI Agent Skill for Claude Code / OpenClaw, with 262 downloads so far.
How do I install Review Defect Miner?
Run "/install review-defect-miner" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Review Defect Miner free?
Yes, Review Defect Miner is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Review Defect Miner support?
Review Defect Miner is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Review Defect Miner?
It is built and maintained by LeroyCreates (@leooooooow); the current version is v1.0.0.
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