verbalized-sampling
verbalized-sampling is a Prompt design & optimisation skill for AI agents, published by gnurio in the nurijanian-skills repository on GitHub. Skillspace rates verbalized-sampling D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Generate diverse outputs by prompting for a probability distribution instead of a single response. Implements Verbalized Sampling (VS) from Zhang et al. 2025 — a training-free technique that counteracts LLM mode collapse caused by typicality bias in alignment data. Use when the task needs genuine diversity: creative writing, brainstorming/ideation, synthetic data generation, persona/dialogue simulation, adversarial examples, open-ended QA with multiple valid answers, or any situation where "generate 5 ideas" keeps returning the same cluster. Do NOT use for: single correct answer tasks, factual lookup, strict format compliance.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 82
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.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- 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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