review-loop
review-loop is a Multi-agent review & consensus skill for AI agents, published by stone16 in the harness-engineering-skills repository on GitHub. Skillspace rates review-loop F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Cross-LLM iterative code review loop. Spawns a peer reviewer (Codex, Claude, or Gemini CLI) to review code changes, then iterates until both agents agree on the final code state. Code gets modified during the loop — the final output is improved code + consensus report. Use when: "review loop", "peer review", "cross review", "review with codex", "review with claude", "review with gemini", "让 codex review", "让 claude review", "交叉 review", "peer review 这段代码", "code review loop", "iterative review"
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 30
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.
Our review
- Architecture
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- base64 decode (possible obfuscation)
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.