rl-consistency-analysis
rl-consistency-analysis is a Model training & evaluation skill for AI agents, published by kali20gakki in the msAgent repository on GitHub. Skillspace rates rl-consistency-analysis C (77/100) and it passed the safety scan; the rating is based on static analysis only.
训练与推理数据不一致的端到端根因分析。当模块映射/值比较不足以定位问题时使用,可追踪首个可信的分歧边界,过滤融合或结构性误报,遵循生产者-消费者链,并生成包含具体假设和证据的根因报告。
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 30
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MulanPSL-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.