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Agent Skill · 研究检索

wreckit-ralph(残骸拉尔夫)

wreckit-ralph 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

wreckit-ralph 是研究检索类 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 7,450。

总安装 18,957周安装 806GitHub Stars 公开资料未说明下载 6,641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
2.4.0

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:wreckit-ralph(残骸拉尔夫)
来源仓库:https://github.com/christiancattaneo/wreckit-ralph
安装命令:
openclaw skills install wreckit-ralph
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 wreckit-ralph

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

防弹级 AI 代码验证工具,无需外部依赖即可进行并行静态分析、类型检查与安全变异测试。适合在 CI/CD 流程中集成,提升代码健壮性与安全性,减少线上故障风险。自动扫描代码库漏洞并生成修复建议,支持多语言项目与自定义规则配置。需授予代码仓库读取权限,注意测试过程中可能产生的临时文件与日志留存。

建议定期更新检测规则库,结合人工复核关键模块,避免误报干扰正常开发节奏。

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 wreckit-ralph;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

wreckit-ralph 怎么安装?

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

wreckit-ralph 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。

wreckit-ralph 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 wreckit-ralph 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。

wreckit-ralph 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。

wreckit-ralph 用的人多吗?

公开数据是累计安装 18,957 次,近一周安装 806 次,下载 6,641 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。

wreckit-ralph 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
wreckit-ralph

残骸拉尔夫 · 本页

18,957—执行命令MIT-0有提醒

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
reckit
description
>
metadata
openclaw
platforms
[macos, linux]
notes
Uses sessions_spawn for parallel verification swarms. Requires maxSpawnDepth >= 2.

Reckit — Bulletproof AI Code Verification

Build it. Break it. Prove it works.

Philosophy

AI can't verify itself. Structure the pipeline so it can't silently agree with itself. Separate Builder/Tester/Breaker roles across fresh contexts. Use independent oracles.

Full 14-step framework: references/verification-framework.md

Modes

Auto-detected from context:

ModeTriggerDescription
🟢 BUILDEmpty repo + PRDFull pipeline for greenfield
🟡 REBUILDExisting code + migration specBUILD + behavior capture + replay
🔴 FIXExisting code + bug reportFix, verify, check regressions
🔵 AUDITExisting code, no changesVerify and report only

Gates

Read the gate file before executing it. Each contains: question, checks, pass/fail criteria.

GateBUILDREBUILDFIXAUDITFile
AI Slop Scan✅✅✅✅references/gates/slop-scan.md
Type Check✅✅✅✅references/gates/type-check.md
Ralph Loop✅✅✅❌references/gates/ralph-loop.md
Test Quality✅✅✅✅references/gates/test-quality.md
Mutation Kill✅✅✅✅references/gates/mutation-kill.md
Cross-Verify✅❌❌❌references/gates/cross-verify.md
Behavior Capture❌✅❌❌references/gates/behavior-capture.md
Regression❌✅✅❌references/gates/regression.md
SAST❌❌✅✅references/gates/sast.md
LLM-as-Judgeoptoptoptoptreferences/gates/llm-judge.md
Design Review❌❌❌✅references/gates/design-review.md
CI Integration✅✅❌✅references/gates/ci-integration.md
Proof Bundle✅✅✅✅references/gates/proof-bundle.md

Scripts

Deterministic helpers — run these, don't rewrite them:

Core (all modes):

  • scripts/project-type.sh [path] — classify project context + calibration profile (skip_gates, thresholds, tolerated warns)
  • scripts/detect-stack.sh [path] — auto-detect language, framework, test runner → JSON
  • scripts/check-deps.sh [path] — verify all deps exist in registries (hallucination check)
  • scripts/slop-scan.sh [path] — semantic slop scan (tracked vs untracked debt, categorized output) → JSON
  • scripts/type-check.sh [path] — run type checker (tsc/mypy/cargo/go vet) → JSON
  • scripts/ralph-loop.sh [path] — validate IMPLEMENTATION_PLAN.md structure → JSON
  • scripts/coverage-stats.sh [path] — extract raw coverage numbers from test runner
  • scripts/mutation-test.sh [path] [test-cmd] — mutation testing (mutmut/cargo-mutants/Stryker/AI)
  • scripts/mutation-test-stryker.sh [path] — Stryker-specific mutation testing → JSON
  • scripts/red-team.sh [path] — SAST + 20+ vulnerability patterns → JSON
  • scripts/regex-complexity.sh [path] [--context library|app] — targeted ReDoS analysis → JSON
  • scripts/proof-bundle.sh [path] [mode] — corroboration-based aggregation + proof bundle writer
  • scripts/run-all-gates.sh [path] [mode] [--log-file] — sequential gate runner with telemetry + adaptive skipping/tolerance

Mode-specific:

  • scripts/behavior-capture.sh [path] — capture golden fixtures before rebuild (REBUILD)
  • scripts/design-review.sh [path] — dep graph, coupling, circular deps (AUDIT/REBUILD) → JSON
  • scripts/ci-integration.sh [path] — CI config detection and scoring → JSON
  • scripts/differential-test.sh [path] — oracle comparison, golden tests (BUILD/REBUILD) → JSON

Extended verification:

  • scripts/dynamic-analysis.sh [path] — memory leaks, race conditions, FD leaks → JSON
  • scripts/perf-benchmark.sh [path] — benchmark detection + regression vs baseline → JSON
  • scripts/property-test.sh [path] — property-based/fuzz testing, generates stubs → JSON

Bootstrap:

  • scripts/run-audit.sh [path] [mode] [--spawn] — generate orchestrator task + optional spawn

Swarm Architecture

For multi-gate parallel execution, read references/swarm/orchestrator.md.

Quick overview:

Main agent → wreckit orchestrator (depth 1)
  ├─ Planning: Architect worker
  ├─ Building: Sequential Implementer workers
  ├─ Verification: Parallel gate workers
  ├─ Sequential: Cross-verify / regression / judge
  └─ Decision: Proof bundle → Ship / Caution / Blocked

Critical: Read references/swarm/collect.md before spawning workers. Never fabricate results. Wait for all workers to report back. Worker output format: references/swarm/handoff.md.

Config required:

{ "agents.defaults.subagents": { "maxSpawnDepth": 2, "maxChildrenPerAgent": 8 } }

Decision Framework

VerdictCriteria
Ship ✅No hard blocks; no corroborated multi-domain fail evidence above block threshold
Caution ⚠️Single non-hard fail, warning-only risk, or corroboration below block threshold
Blocked 🚫Any hard block OR corroborated non-hard failure pattern (multi-signal, multi-domain, high-confidence)

Hard-block + corroboration rule details: references/gates/corroboration.md

Supported Languages & Stacks

LanguageGates AvailableNotes
TypeScript/JS11/11Full support via Stryker, tsc, vitest/jest
Python11/11Full support via mutmut, mypy/pyright, pytest
Rust11/11Full support via cargo-mutants, cargo check/test
Go11/11Full support via go vet, go test
Swift (SPM)9/11mutation = AI-estimated CAUTION, cross-verify = manual
Swift (Xcode)7/11type-check = xcodebuild, mutation = AI-estimated, coverage = limited
iOS apps7/11Same as Xcode projects
Java/Kotlin10/11Gradle/Maven, mutation via PIT (manual setup)
Shell8/11shellcheck, limited mutation testing

Swift Notes

  • Mutation testing requires manual verification — no automated mutation testing tool exists for Swift as of 2026. The mutation gate uses AI-estimated analysis (counts mutation surface, compares to test count) and always outputs CAUTION, never SHIP.
  • SPM projects get high-confidence type checking via swift build (the compiler IS the type checker).
  • Xcode projects get medium-confidence type checking via xcodebuild with auto-detected schemes.
  • Dependency checking lists SPM dependencies but notes that no automated CVE database exists for Swift packages — manual review is always recommended.
  • CocoaPods projects: pod outdated is checked if Podfile present.
  • Build systems detected: SPM, xcodebuild, CocoaPods, Carthage, mixed.

Running an Audit (Single-Agent, No Swarm)

For small projects or when swarm isn't needed, run gates sequentially:

  1. scripts/detect-stack.sh → know your target (language, test cmd, type checker)
  2. scripts/check-deps.sh → verify deps are real (not hallucinated)
  3. scripts/slop-scan.sh → find placeholders, template artifacts, empty stubs
  4. Run type checker (from detect-stack output) → references/gates/type-check.md
  5. Run tests + scripts/coverage-stats.sh → references/gates/test-quality.md
  6. scripts/mutation-test.sh → references/gates/mutation-kill.md (uses mutmut/cargo-mutants/Stryker if available)
  7. scripts/red-team.sh → references/gates/sast.md (20+ vulnerability patterns, JSON report)
  8. scripts/design-review.sh → references/gates/design-review.md (dep graph, circular deps, god modules)
  9. scripts/ci-integration.sh → references/gates/ci-integration.md (CI config detection + scoring)
  10. scripts/dynamic-analysis.sh → references/gates/dynamic-analysis.md (memory leaks, race conditions)
  11. scripts/perf-benchmark.sh → references/gates/performance.md (benchmark detection + regression)
  12. scripts/property-test.sh → references/gates/property-based.md (fuzzing, invariant checks)
  13. scripts/differential-test.sh → references/gates/differential.md (oracle comparison, metamorphic tests)
  14. echo '[...gate-results-json...]' | scripts/proof-bundle.sh [path] [mode] → writes .wreckit/proof.json, dashboard.json, decision.md

Quick Start

"Use wreckit to audit [project]. Don't change anything."
"Use wreckit to build [project] from this PRD."
"Use wreckit to fix [bug]. Prove nothing else breaks."
"Use wreckit to rebuild [project] in [framework]."

Dashboard

assets/dashboard/ contains a local web dashboard for viewing proof bundles across repos. Run: node assets/dashboard/server.mjs (port 3939). Reads .wreckit/dashboard.json from projects.

Codex CLI Notes (2026-02-22)

When using Codex CLI to build/run projects:

  • --full-auto sandbox blocks npm install network access (ENOTFOUND registry.npmjs.org)
  • Fix: use --dangerously-bypass-approvals-and-sandbox flag instead
  • Auth: echo "$OPENAI_API_KEY" | codex login --with-api-key stores credentials to ~/.codex/auth.json
  • Config: ~/.codex/config.toml with model = "gpt-5.2-codex" and [shell_environment_policy] inherit = "all"
  • gpt-5.3-codex is Copilot/VS Code only — not available via direct API. Use gpt-5.2-codex.

平台分布

OpenClaw

77.43%
按下载量换算5,142

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

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 wreckit-ralph 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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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