analog-review
analog-review is a Multi-agent review & consensus skill for AI agents, published by Arcadia-1 in the analog-agents repository on GitHub. Skillspace rates analog-review F (54/100) and it passed the safety scan; the rating is based on static analysis only.
Cross-model circuit design review with divergence analysis. Sends netlist and rationale to multiple external LLMs for independent audit. Supports minimax-m2.7, qwen-3.6-plus, kimi-k2.5, glm-5.1. Use after analog-design to get independent review before simulation.
- Grade
- F
- Quality
- 54 / 100
- Safety
- Passed
- GitHub stars
- 41
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
- 81 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- 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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