analyze-rl-behavior
analyze-rl-behavior is an LLM evaluation & observability skill for AI agents, published by open-thoughts in the OpenThoughts-Agent repository on GitHub. Skillspace rates analyze-rl-behavior 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.
Run the full RL behavioral-analysis pipeline (scripts/analysis/analyze_rl_behavior.py) on a trained RL model to understand WHAT changed vs its pre-RL baseline, WHY, whether it PERSISTS, and its EVAL impact. Use when asked to "analyze RL behavior", "compare pre/post RL", "what did RL change", or to produce the Q1–Q4 behavioral report + GPT-5 judge for an `laion/...` (or any) RL checkpoint. Runs LOCALLY on the Mac (no GPU).
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 259
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.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
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
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