convergence-review

convergence-review is a Multi-agent review & consensus skill for AI agents, published by inference-sim in the inference-sim repository on GitHub. Skillspace rates convergence-review D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Dispatch parallel review perspectives and enforce convergence via persistent state file and automatic Phase A/B loop. Supports 8 gate types — design doc (8), macro plan (8), PR plan (10), PR code (10), pr-docs (7), hypothesis design (5), hypothesis code (5), hypothesis FINDINGS (10). Automatically loops through Phase A (review/tally) and Phase B (fix/verify) until 0 CRITICAL + 0 IMPORTANT or round limit.

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
20

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.

View source on GitHubinference-sim/inference-sim

Our review

Architecture
88 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Apache-2.0
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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