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Agent Skill · 开发

rngneeds-unity(rngneeds Unity 测试)

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。

rngneeds-unity 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 6,156。

总安装 5,067周安装 207GitHub Stars 公开资料未说明下载 1,623核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.1

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

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install rngneeds-unity;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

rngneeds-unity 怎么安装?

在终端执行 openclaw skills install rngneeds-unity。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

rngneeds-unity 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

rngneeds-unity 需要什么权限?

权限级别是执行命令。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。

rngneeds-unity 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

rngneeds-unity 用的人多吗?

公开数据是累计安装 5,067 次,近一周安装 207 次,下载 1,623 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

rngneeds-unity 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
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skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

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6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
rngneeds-unity

rngneeds Unity 测试 · 本页

5,067—执行命令MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

平台分布

OpenClaw

91.82%
按下载量换算1,490

安全审计

VirusTotal

通过

ClawScan

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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