benchmark-report
benchmark-report is a Backend performance & caching skill for AI agents, published by dragonflydb in the dragonfly repository on GitHub. Skillspace rates benchmark-report D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Generate a technical benchmark report in markdown from raw memtier/redis-benchmark output. Use this whenever the user provides benchmark results, log files, memtier JSON output, or a directory of benchmark data and wants a written report or comparison document. Trigger even when the user says "write up these results", "make a report from this data", "turn this into a blog post", or just drops a directory path. Always use this skill when the user provides benchmark files and wants a human-readable output. Reports compare Dragonfly against another system (ElastiCache, Redis, Valkey) but can handle single-system data too.
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 30,876
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 91 / 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
- Vendor-specific: built around one product. reports from public memtier/redis-benchmark output for Dragonfly evaluators
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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