feedback-clustering
feedback-clustering is a Customer feedback analysis skill for AI agents, published by kortix-ai in the suna repository on GitHub. Skillspace rates feedback-clustering D (65/100) and it passed the safety scan; a judge model has also reviewed it.
Turns feedback from Plain, public reviews, and a Slack channel into deduplicated, quantified themes, and reconciles each theme against one Linear issue in {{linear_team}} — never prioritizing, assigning, or closing.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 19,971
Placed #3 of 6 in the judged category final for Customer feedback analysis.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Reusable feedback-clustering template with configurable Linear team; spans several tools
Judge review
Placed #3 of 6 in the judged category final for Customer feedback analysis.
- Trigger
88 88 - Instructions
90 90 - Specificity
87 87 - Safety
88 88 - Disclosure
82 82 - Maintenance
86 86
A clear dedup-first workflow against Linear with concrete same-theme-vs-different-theme examples and an explicit stop-before-prioritizing boundary.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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