Skill audit report
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.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
104 GitHub stars
Stars/forks activity
WARN51
104 stars, 8 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
26d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
command execution surface, credential or environment access
Install availability
PASS92
npx skills add gnurio/nurijanian-skills --skill verbalized-sampling
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN50
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/gnurio/nurijanian-skills/tree/main/skills/verbalized-sampling
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add gnurio/nurijanian-skills --skill verbalized-sampling
Repository
88
https://github.com/gnurio/nurijanian-skills/tree/main/skills/verbalized-sampling
License
86
MIT
Maintenance
100
26d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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Usable description available
Dependency risk
54
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
50
secrets or environment access, shell or command execution
Stars/forks activity
51
104 stars, 8 forks; issue activity unavailable in current metadata
Adoption
68
104 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.