opencode-voice-benchmark
opencode-voice-benchmark is an LLM evaluation & observability skill for AI agents, published by renjfk in the opencode-voice repository on GitHub. Skillspace rates opencode-voice-benchmark D (66/100) and the safety scan flagged it for review; the rating is based on static analysis only.
Flagged for review. Read the source before running it.
Use when benchmarking opencode-voice STT normalization latency, local/OpenAI-compatible LLM models, Qwen thinking settings, or cache effects.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Needs review
- GitHub stars
- 38
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Medium-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- reads environment variables
- mentions secrets in text
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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