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rngneeds-unityrngneeds Unity 测试

Agent Skill

rngneeds-unity 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,067

周安装

207

GitHub Stars

公开资料未说明

下载量

1,623
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:rngneeds-unity(rngneeds Unity 测试)
来源仓库:https://github.com/starphaselab/rngneeds-unity
安装命令:
openclaw skills install rngneeds-unity
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install rngneeds-unity

简介

rngneeds-unity 指导如何在 Unity 游戏中正确运用 RNGNeeds 插件。

  • 适合游戏开发者设计公平随机系统并调试概率分布。
  • 覆盖种子管理、事件权重配置等核心功能教学。
  • 安装命令:openclaw skills install rngneeds-unity,需导入对应 Unity Package。
  • 建议在测试环境中先行验证随机逻辑再上线正式项目。

SKILL.md

name
rngneeds-unity
description
Teach agents how to design, implement, explain, and debug gameplay randomness with the RNGNeeds Unity plugin. Use when a request involves RNGNeeds types or concepts such as ProbabilityList, ProbabilityItem, PLCollection, weighted picks, loot tables, gacha, spawn tables, dialogue weighting, AI choice weighting, repeat prevention, depletable lists, card deck extensions, deck order, draw pile, discard pile, hand, graveyard, shuffle plans, influence providers, pick history, seeding, or custom selection methods in Unity/C#.

rngneeds-unity

Use this skill for RNGNeeds-specific work. If the request is only about generic Unity randomness and does not involve RNGNeeds, handle it normally.

Work sequence

  1. Identify the job: choose a pattern, write code, explain behavior, or debug a setup.
  2. Read only the reference files needed for that job.
  3. Ground the answer in actual RNGNeeds behavior and API names.
  4. Recommend the right mechanic first when the user describes a gameplay goal but not an implementation.
  5. If a detail is missing, inspect the package source or docs instead of inventing methods.

Route by request

  • Choose the right RNG pattern: read references/decision-guide.md, then references/common-patterns.md, then references/core-concepts.md as needed.
  • Write or refactor Unity/C# code: read references/api-surface.md and references/examples.md.
  • Answer tutorial, support, or docs-style questions: read references/guide-workflows.md first, then references/examples.md.
  • Explain weird probabilities or surprising results: read references/pitfalls.md and references/core-concepts.md.
  • Build dynamic odds from game state: read references/core-concepts.md, references/api-surface.md, and references/examples.md.
  • Model decks, draw piles, discard piles, hands, graveyards, limited rewards, or finite stock: read references/decision-guide.md, references/common-patterns.md, references/pitfalls.md, and references/examples.md.

Guardrails

  • Distinguish BaseProbability from the final Probability used during selection.
  • Distinguish disabled items from removed items, and depletable items from infinite ones.
  • Distinguish weighted selection from deck-order operations. If the user cares about top, bottom, hand, discard, cut, or shuffle order, prefer deck extensions over PickValue().
  • Warn that disabled items still occupy probability space, and if selection lands on one that pick is ignored. Disabled or depleted states can reduce result count unless MaintainPickCountIfDisabled is enabled.
  • Warn that repeat prevention changes behavior: Spread is fast but more biased, Repick is lower bias, Shuffle preserves distribution better but does not guarantee zero repeats between separate picks.
  • Warn that influenced lists recalculate before selection, and final displayed outcomes may normalize.
  • Warn that PickValues() returns a shared internal list reference. Copy it if the caller must keep results after another pick.
  • Prefer TryPickValue(...) when failure matters, especially for value types where default(T) can look like a real result.
  • Note that if an item's value implements IProbabilityInfluenceProvider, it overrides an external provider assigned to that item.
  • Note that deck extensions are order-centric and use simple seeded index/random operations, not the list's weighted selection methods.
  • Prefer KeepSeed or a custom seed provider for deterministic behavior instead of ad hoc randomness hacks.
  • Reach for custom selection methods only when built-in behavior does not satisfy the requirement.

Output expectations

  • Explain *why* a feature fits the gameplay goal, not only *how* to call it.
  • Keep code examples short and focused on RNGNeeds.
  • Use RNGNeeds terminology consistently so designers and programmers can discuss the same setup.

Reference map

  • references/core-concepts.md: terminology and mental model
  • references/decision-guide.md: choose the right feature for the job
  • references/common-patterns.md: common gameplay setups
  • references/guide-workflows.md: tutorial-style workflows distilled from the docs guides
  • references/api-surface.md: high-value classes, properties, and methods
  • references/pitfalls.md: gotchas and debugging heuristics
  • references/examples.md: compact Unity/C# examples
  • references/test-prompts.md: prompt pack for manual skill testing

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

91.82%
按下载量换算1,490

安全审计

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通过

ClawScan

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Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install rngneeds-unity 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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