ce-sweep
ce-sweep is a Customer feedback analysis skill for AI agents, published by EveryInc in the compound-engineering-plugin repository on GitHub. Skillspace rates ce-sweep D (64/100) and it passed the safety scan; a judge model has also reviewed it.
Sweep configured feedback sources (Slack, GitHub Issues; email experimental) for new items: acknowledge at source, analyze recordings, verify fixes merged to main, and emit an `lfg`-ready plan. First run sets up sources; supports mode:non-interactive for scheduled runs.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 25,060
Placed #1 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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #1 of 6 in the judged category final for Customer feedback analysis.
- Trigger
88 88 - Instructions
85 85 - Specificity
95 95 - Safety
97 97 - Disclosure
90 90 - Maintenance
93 93
The most rigorous safety design in the batch - regex-gated fix refs, per-source approval gating, and explicit data-not-instructions framing - with disciplined delegation to reference docs.
What the scanner flagged
- mentions secrets in text
Not checked yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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