ce-riffrec-feedback-analysis
ce-riffrec-feedback-analysis is a Customer feedback analysis skill for AI agents, published by EveryInc in the compound-engineering-plugin repository on GitHub. Skillspace rates ce-riffrec-feedback-analysis C (77/100) and it passed the safety scan; a judge model has also reviewed it.
Analyze Riffrec feedback captures from bundles or standalone recordings. Always load for `riffrec-*.zip`, `session.json` + `events.json` + `recording.webm` + `voice.webm` bundles, `.mp4`/`.mov`/`.webm` videos, `.m4a`/`.mp3`/`.wav` audio, or capture/share requests.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 23,221
Placed #5 of 6 in the judged category final for Customer feedback analysis.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Consumes capture bundles from Riffrec, a public capture tool.
Judge review
Placed #5 of 6 in the judged category final for Customer feedback analysis.
- Trigger
92 92 - Instructions
86 86 - Specificity
85 85 - Safety
85 85 - Disclosure
90 90 - Maintenance
83 83
File-pattern-precise triggering plus a real analyzer script with a hard-won working-directory fix, and a sensible local-only-by-default rule for raw recordings.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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