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Agent Skill · 前端设计

make-doom-for-mips(为 mips 带来厄运)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

make-doom-for-mips 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证为 MIT,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 4,894。

总安装 776周安装 33GitHub Stars 93下载 272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

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:make-doom-for-mips(为 mips 带来厄运)
来源仓库:https://github.com/letta-ai/skills
仓库路径:skills/make-doom-for-mips
安装命令:
npx skills add https://github.com/letta-ai/skills --skill make-doom-for-mips
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/letta-ai/skills --skill make-doom-for-mips

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

用于辅助安全审计与权限检查。make-doom-for-mips 属于前端设计类 Skill,可作为该场景下的辅助能力补充。适合分析鉴权逻辑和常见漏洞排查。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。支持敏感配置梳理与依赖风险识别。

通过 npx 命令从 GitHub 仓库安装。不能将工具输出直接作为最终结论,需人工复核。

来源仓库内路径:skills/make-doom-for-mips

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/letta-ai/skills --skill make-doom-for-mips;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

make-doom-for-mips 怎么安装?

在终端执行 npx skills add https://github.com/letta-ai/skills --skill make-doom-for-mips。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

make-doom-for-mips 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

make-doom-for-mips 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 npx skills add https://github.com/letta-ai/skills --skill make-doom-for-mips;npx skills add letta-ai/skills --skill "make-doom-for-mips" 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。

make-doom-for-mips 是免费的吗?

来源标注的许可证是 MIT。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。

make-doom-for-mips 用的人多吗?

公开数据是累计安装 776 次,近一周安装 33 次,下载 272 次,GitHub 93 星。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。

make-doom-for-mips 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,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 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、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。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
make-doom-for-mips

为 mips 带来厄运 · 本页

77693执行命令MIT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

Cross-Compiling C Programs for MIPS VM Environments

Overview

This skill provides guidance for cross-compiling complex C programs to run on MIPS-based virtual machines with custom runtime environments. The primary challenge involves creating freestanding executables that work without standard system libraries, implementing custom syscall interfaces, and ensuring the compiled binary actually produces expected output in the target VM.

Critical Success Criteria

Before declaring any task complete, verify the actual acceptance criteria are met:

  1. Identify what output the VM expects (e.g., frame files, console output, specific exit codes)
  2. Run the compiled binary in the VM and confirm expected artifacts are created
  3. Never accept "the program runs some instructions" as success - verify end-to-end functionality

Approach

Phase 1: Environment Analysis

Before writing any code, thoroughly analyze the target environment:

  1. Read the VM implementation completely - Understand:

- Available syscalls and their exact signatures - File system abstractions and path handling - Memory layout expectations - How the VM handles program termination - Any special requirements for input/output

  1. Analyze the source program's dependencies:

- List all required standard library functions - Identify file I/O patterns (WAD files, config files, output files) - Understand the main loop structure and when output occurs - Map out initialization sequence and failure points

  1. Document the interface contract:

- What syscall numbers map to what operations - Expected calling conventions - Return value semantics and error handling

Phase 2: Systematic Stdlib Implementation

Create custom standard library implementations methodically:

  1. Audit all required functions upfront - Do not add functions one-by-one as errors appear. Instead:

- Grep for all function calls in the source - Create a complete list before starting implementation - Group by category: string ops, memory ops, I/O, math

  1. Implement complete functionality for critical functions:

- printf, sprintf, snprintf - Implement actual formatting, not stubs returning 0 - sscanf - Implement actual parsing if the program uses it - File operations - Ensure paths resolve correctly in the VM

  1. Create comprehensive stub headers - For each system header:

- Define only what the program actually uses - Avoid pulling in real system headers that conflict

Phase 3: Cross-Compilation Setup

Configure the toolchain correctly:

  1. Compiler flags:

- Use -ffreestanding to avoid system library assumptions - Use -nostdlib to prevent linking against host libraries - Use -msoft-float if the VM lacks FPU support - Address ABI warnings (hard-float vs soft-float) - these cause runtime failures

  1. Linker configuration:

- Provide appropriate linker script if needed - Ensure entry point is correctly specified - Verify symbol resolution for all custom implementations

Phase 4: Iterative Testing with Verification

Test against actual success criteria at each step:

  1. After first successful compilation:

- Run in VM immediately - Check if expected output files are created - If program terminates early, investigate why

  1. When program terminates unexpectedly:

- Examine the termination address - Add debug output at key checkpoints - Verify resource loading (WAD files, data files) - Check if required command-line arguments are provided

  1. Trace program flow:

- Understand when the expected output should be generated - If output depends on game loop iterations, verify the loop runs - Check tick counters or frame counters if output is periodic

Verification Strategies

Pre-Completion Checklist

Before declaring the task complete:

  • VM implementation has been read and understood
  • All syscalls used by custom stdlib match VM's implementation
  • Critical functions (printf, file I/O) have working implementations, not stubs
  • Resource files (WAD, data) are accessible via VM's file system
  • Program runs to the point where expected output should be generated
  • Expected output files actually exist after VM execution
  • Program executes a reasonable number of instructions (not early termination)

Debugging Early Termination

When a program terminates prematurely:

  1. Check the program counter at termination - what function/code is at that address?
  2. Add print statements at initialization milestones
  3. Verify file open operations succeed (check return values)
  4. Ensure required arguments are passed to main()
  5. Check if errno or error handlers are being triggered

Validating Output Generation

For frame-based output (like DOOM):

  1. Understand when frames are written (e.g., every N ticks)
  2. Verify the game loop executes enough iterations
  3. Check file write syscalls are being called
  4. Confirm output path is writable in VM environment

Common Pitfalls

Stub Functions That Break Programs

Problem: Implementing printf/sprintf as stubs returning 0 breaks programs that depend on formatted output for initialization or configuration parsing.

Solution: Implement actual formatting logic or at minimum ensure the output buffer receives expected content.

Ignoring Linker Warnings

Problem: ABI mismatch warnings (hard-float vs soft-float) are dismissed but cause runtime failures when floating-point operations execute.

Solution: Ensure consistent floating-point ABI across all compiled objects and the VM's expectations.

Premature Success Declaration

Problem: Seeing "program executed N instructions" and concluding success without verifying actual output.

Solution: Always verify the specific acceptance criteria (file creation, correct output content) before marking complete.

Missing Resource Files

Problem: DOOM and similar programs require data files (WAD) that must be accessible via the VM's file system abstraction.

Solution: Verify the binary can locate and open required resources. Check if paths need adjustment for VM environment.

Incomplete Dependency Analysis

Problem: Adding functions one-by-one as compilation errors appear leads to incomplete implementations and missed dependencies.

Solution: Systematically audit all function calls in the source code before starting implementation.

Decision Framework

When to Add Debug Output

Add debug output when:

  • Program terminates after fewer instructions than expected
  • Expected output files are not created
  • Unsure if initialization completes successfully

When to Re-examine VM Implementation

Re-read the VM code when:

  • Syscalls return unexpected values
  • File operations fail silently
  • Program behavior differs from expectations

When to Implement vs Stub a Function

Implement fully when:

  • Function output is used by the program (printf formatting, string operations)
  • Function affects control flow (file open success/failure)
  • Function result is checked by caller

Stub with caution when:

  • Function is called but result is ignored
  • Function is for features not needed in VM context
  • Must document why stub is safe

平台分布

Claude Code

29.75%
按下载量换算81

Gemini CLI

23.83%
按下载量换算65

Antigravity

15.85%
按下载量换算43

windsurf

11.06%
按下载量换算30

OpenCode

7.72%
按下载量换算21

Codex

3.37%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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 npx skills add https://github.com/letta-ai/skills --skill make-doom-for-mips;npx skills add letta-ai/skills --skill "make-doom-for-mips" 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。

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