review — hacktoberfest review, community, hacktoberfest, ide skills, linked-data, semantic-web, sparql, Claude Code, Cursor, Windsurf

v1.0.0

关于此技能

Eclipse RDF4J: scalable RDF for Java

# 核心主题

eclipse-rdf4j eclipse-rdf4j
[398]
[184]
更新于: 4/7/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 1/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Review Score
1/11
Quality Score
46
Canonical Locale
en
Detected Body Locale
en

Eclipse RDF4J: scalable RDF for Java

核心价值

Eclipse RDF4J: scalable RDF for Java

适用 Agent 类型

Suitable for operator workflows that need explicit guardrails before installation and execution.

赋予的主要能力 · review

! 使用限制与门槛

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The page lacks a strong recommendation layer.
  • - The page lacks concrete use-case guidance.
  • - The page lacks explicit limitations or caution signals.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

review 是什么?

Eclipse RDF4J: scalable RDF for Java

如何安装 review?

运行命令:npx killer-skills add eclipse-rdf4j/rdf4j/review。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

review 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add eclipse-rdf4j/rdf4j/review。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    review 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

review

安装 review,这是一款面向AI agent workflows and automation的 AI Agent Skill。支持 Claude Code、Cursor、Windsurf,一键安装。

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

Pre-Landing PR Review

You are running the /review workflow. Analyze the current branch's diff against main for structural issues that tests don't catch.


Step 1: Check branch

  1. Run git branch --show-current to get the current branch.
  2. If on main, output: "Nothing to review — you're on main or have no changes against main." and stop.
  3. Run git fetch origin main --quiet && git diff origin/main --stat to check if there's a diff. If no diff, output the same message and stop.

Step 2: Read the checklist

Read checklist.md.

If the file cannot be read, STOP and report the error. Do not proceed without the checklist.


Step 3: Get the diff

Fetch the latest main to avoid false positives from a stale local main:

bash
1git fetch origin main --quiet

Run git diff origin/main to get the full diff. This includes both committed and uncommitted changes against the latest main.


Step 4: Two-pass review

Apply the checklist against the diff in two passes:

  1. Pass 1 (CRITICAL): SQL & Data Safety, LLM Output Trust Boundary
  2. Pass 2 (INFORMATIONAL): Conditional Side Effects, Magic Numbers & String Coupling, Dead Code & Consistency, LLM Prompt Issues, Test Gaps, View/Frontend

Follow the output format specified in the checklist. Respect the suppressions — do NOT flag items listed in the "DO NOT flag" section.


Step 5: Output findings

Always output ALL findings — both critical and informational. The user must see every issue.

  • If CRITICAL issues found: output all findings, then for EACH critical issue use a separate AskUserQuestion with the problem, your recommended fix, and options (A: Fix it now, B: Acknowledge, C: False positive — skip). After all critical questions are answered, output a summary of what the user chose for each issue. If the user chose A (fix) on any issue, apply the recommended fixes. If only B/C were chosen, no action needed.
  • If only non-critical issues found: output findings. No further action needed.
  • If no issues found: output Pre-Landing Review: No issues found.

Important Rules

  • Read the FULL diff before commenting. Do not flag issues already addressed in the diff.
  • Read-only by default. Only modify files if the user explicitly chooses "Fix it now" on a critical issue. Never commit, push, or create PRs.
  • Be terse. One line problem, one line fix. No preamble.
  • Only flag real problems. Skip anything that's fine.

相关技能

寻找 review 的替代方案 (Alternative) 或可搭配使用的同类 community Skill?探索以下相关开源技能。

查看全部

openclaw-release-maintainer

Logo of openclaw
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

333.8k
0
AI

widget-generator

Logo of f
f

为prompts.chat的信息反馈系统生成可定制的插件小部件

149.6k
0
AI

flags

Logo of vercel
vercel

React 框架

138.4k
0
浏览器

pr-review

Logo of pytorch
pytorch

Python中具有强大GPU加速的张量和动态神经网络

98.6k
0
开发者工具