dynamo-kv-replay-parity
dynamo-kv-replay-parity is an Integration & environment testing skill for AI agents, published by ai-dynamo in the dynamo repository on GitHub. Skillspace rates dynamo-kv-replay-parity B (80/100) and it passed the safety scan; the rating is based on static analysis only.
Runs deterministic byte-parity and paired performance campaigns for Dynamo offline KV-aware replay across native-G1 vLLM and SGLang configurations, including forced scheduler-pressure and disaggregated handoff lifecycles. It is used when validating replay refactors, routing changes, scheduler-event changes, or performance-sensitive offline simulation changes against a baseline revision.
- Grade
- B
- Quality
- 80 / 100
- Safety
- Passed
- GitHub stars
- 8,049
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 99 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- 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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