Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add samqin123/Claude_skill_pool --skill ralph-yologit clone --depth 1 https://github.com/samqin123/Claude_skill_poolWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/samqin123/claude_skill_pool/ralph-yolo)<a href="https://agentmods.dev/skills/samqin123/claude_skill_pool/ralph-yolo"><img src="https://agentmods.dev/badge/skills/samqin123/claude_skill_pool/ralph-yolo/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/samqin123/claude_skill_pool/ralph-yolo"><img src="https://agentmods.dev/badge/skills/samqin123/claude_skill_pool/ralph-yolo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.04172 |
| Opus 5 | $0.00020 | $0.02086 |
| Sonnet 5 | $0.00008 | $0.00834 |
| Haiku 4.5 | $0.00004 | $0.00417 |
Grade A, and why
ralph-yolo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 614 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ralph YOLO - Autonomous Agent Loop (No Amp Required)
Ralph YOLO 是 Ralph 的轻量版本,直接使用 Claude Code 的 Task tool 管理子 agent 完成任务,无需依赖 Amp CLI。
与原 Ralph 的区别
| 特性 | 原 Ralph | Ralph YOLO |
|---|---|---|
| 依赖 | Amp CLI | Claude Code Task Tool |
| 执行方式 | bash 脚本循环 | 前台子 agent 管理 |
| Agent 实例 | 外部 Amp 进程 | Claude Code Task 子 agent |
| 状态跟踪 | 文件读写 | 前台实时更新 |
| 上下文 | 每次全新 | 主会话保持完整上下文 |
使用方法
/ralph-yolo [path-to-prd.md]
如果未提供 PRD 路径,会查找项目根目录的 prd.json 并直接执行。
示例:
/ralph-yolo tasks/prd-my-feature.md # 从 PRD 转换并执行
/ralph-yolo prd.json # 使用现有 prd.json 执行
/ralph-yolo # 自动查找 prd.json
工作流程
Phase 1: PRD 转换(如果提供了 markdown PRD)
Step 1: 读取 PRD 文件
读取用户提供的 markdown PRD 文件。
Step 2: 归档旧运行(如需要)
检查是否存在 prd.json 且 branchName 不同。如果是:
- 读取当前
prd.json提取branchName - 比较新功能的分支名
- 如果不同且
prd-progress.txt有内容:- 创建归档文件夹:
.claude/archive/YYYY-MM-DD-[feature-name]/ - 复制当前
prd.json和prd-progress.txt到归档 - 重置
prd-progress.txt为新的头部信息
- 创建归档文件夹:
Step 3: 转换为 prd.json
解析 PRD 并生成项目根目录的 prd.json:
{
"project": "[从 PRD 提取或自动检测的项目名]",
"branchName": "ralph/[feature-name-kebab-case]",
"description": "[从 PRD 提取的功能描述]",
"userStories": [
{
"id": "US-001",
"title": "[故事标题]",
"description": "As a [用户], I want [功能] so that [收益]",
"acceptanceCriteria": [
"标准 1",
"标准 2",
"Typecheck passes"
],
"priority": 1,
"passes": false,
"notes": ""
}
]
}
转换规则
- 每个用户故事成为一个 JSON 条目
- ID:顺序编号(US-001, US-002 等)
- Priority:基于依赖顺序(schema → backend → UI)
- 所有故事:初始
passes: false,notes为空 - branchName:从功能名派生,kebab-case,前缀
ralph/ - 始终添加:"Typecheck passes" 到每个故事
- UI 故事:添加 "Verify in browser"
故事大小关键原则
每个故事必须在一个上下文窗口内完成。
合适大小:
- 添加数据库列和迁移
- 向现有页面添加 UI 组件
- 更新服务器操作
- 添加过滤下拉菜单
太大(需拆分):
- "构建整个仪表板" → 拆分为:schema, queries, UI 组件, filters
- "添加认证" → 拆分为:schema, middleware, 登录 UI, session handling
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 614 lines · 40 tokens per session scan A e964861a2ac5
ralph-yolo is a skill published in the GitHub repository samqin123/Claude_skill_pool (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 4,172 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…