comment-mining
comment-mining is a Customer feedback analysis skill for AI agents, published by ScrapeCreators in the social-media-research-skills repository on GitHub. Skillspace rates comment-mining B (81/100) and it passed the safety scan; a judge model has also reviewed it.
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 633
Placed #6 of 6 in the judged category final for Customer feedback analysis.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Portable: works in any project. General voice-of-customer comment mining from public social posts
Judge review
Placed #6 of 6 in the judged category final for Customer feedback analysis.
- Trigger
80 80 - Instructions
76 76 - Specificity
78 78 - Safety
80 80 - Disclosure
65 65 - Maintenance
68 68
A workable end-to-end workflow with a concrete per-platform endpoint table and output template, but flatter and less safety-explicit than the sharper skills in this group.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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