CodeJury
Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.
供给资产档案
编程与开发 Agent
代码审查、仓库分析、测试、CI、GitHub、DevOps 与开发工作流 Skill。
场景
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
适配 Agent
Claude Code + OpenAI Agents + CLI
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add krishagarwal314/CodeJury
维护状态
新鲜
距上次推送 19 天
风险
需审查
Dependency or permission surface needs review
GitHub 质量
137
94/100 质量 · 79/100 信任
覆盖标签
审查说明
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
优秀高置信候选,具有较强的采用度与健康维护信号。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
137 个 GitHub Stars
仓库活跃度
137 个 Star,23 个 Fork
维护状态
距上次推送 19 天
许可证
MIT
安装
npx skills add krishagarwal314/CodeJury
安装安全性
标准软件包或运行时安装路径
权限范围
secrets or environment access, shell or command execution
Agent 结果
暂未有 Agent 结果数据
文档
README/SKILL.md 上下文充分
风险摘要
生产前审查
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 137 stars, 23 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- GitHub automation 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Inspect repository metadata
适用 Agent
安装决策
- 命令
- npx skills add krishagarwal314/CodeJury
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 71/100
- 审计
- 87/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- 没有内部安全审查的高合规环境
- 当前元数据中未发现重大风险信号
- 高风险权限提示:Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Agent 安全 v2
47/100 · 避免自动安装
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
高
Shell 或命令执行
Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
高
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- 高风险权限提示:Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install krishagarwal314-codejuryAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20CodeJury%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20CodeJury%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/krishagarwal314-codejury/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use CodeJury in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20CodeJury%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/krishagarwal314-codejury/install
Install command: npx skills add krishagarwal314/CodeJury
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/krishagarwal314-codejury/install
LLM 文本格式
/api/skills/krishagarwal314-codejury/install?format=text
寻找替代方案
/api/skills/search?q=CodeJury&limit=3
Agent 提示词
Use CodeJury for this task. Review https://www.openagentskill.com/api/skills/krishagarwal314-codejury/install, then install with: npx skills add krishagarwal314/CodeJuryRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Manifest
/api/registry/manifest/krishagarwal314-codejury
LLM 文本
/api/registry/manifest/krishagarwal314-codejury?format=text
安装别名
/api/registry/install/krishagarwal314-codejury
推荐
/api/registry/recommend?task=Use%20CodeJury%20in%20an%20agent%20workflow&limit=3
适配 Agent
GitHub automation
平台
Python, Claude Code, OpenAI Agents
Agent 决策面板
适合 GitHub automation 的首选
将其作为优先候选,再在你的 Agent 环境中验证 README 与安装路径。
栈中角色
首选
主要匹配
GitHub automation
信任标签
可用于生产
安装路径
命令已就绪
适用场景
- GitHub automation 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 94/100 质量档案
- 1 个 OpenAgentSkill 交互事件
先审查
- 当前元数据中未发现重大风险信号
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次GitHub automation任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
信息137 个 GitHub Stars
Star/Fork 活跃度
检查137 个 Star,23 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过距上次推送 19 天
许可证清晰度
通过MIT
积极信号
- 人工验证的收录
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 137 stars, 23 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
优秀 适用于 Agent 工作流的候选
高置信候选,具有较强的采用度与健康维护信号。
工作流匹配
在这些场景使用此 Skill
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
工作流匹配
加入完整工作流
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
Khazix Skills
A collection of practical, installable AI agent skills for disk cleanup, AI news retrieval, and project management, following the Agent Skills standard.
Awesome Claude Skills
A curated list of resources and tools for enhancing Claude AI workflows.
Claude Scientific Skills
A comprehensive collection of ready-to-use scientific and research skills for AI agents.
概览
<div align="center">
<img src="docs/screenshots/cli-session.gif" alt="CodeJury in the terminal: which model owns each stage, an indexed repository, a request as tickets, the Planner's verified plan, and a four-judge jury with each juror's verdict" width="900">
<sub>One unbroken session against <a href="https://github.com/go-gitea/gitea">go-gitea/gitea</a> — Go, TypeScript and templates, 120,521 symbols indexed. Which model owns each of the six stages, the request that started it, the ticket it became, the Planner's plan pinned to real symbols, then the jury: four judges on four different providers, each with its own verdict, one of them dissenting. Every screen is real state from a delivery that actually ran; nothing here is a mockup.</sub>
<br>
### A terminal-first coding agent that is reviewed by a **jury**, not by a judge.
**One LLM grading another LLM's code is not a review — it is a coin flip with a confident voice.** So CodeJury sends every change to a panel of independent, differently-modelled judges and a foreperson who synthesizes one verdict. And because a panel costs tokens, the agent earns them back: it navigates your repository through a **persistent code graph plus semantic search over graph nodes**, so it *looks up* where a change goes instead of burning context rediscovering it.
**And nothing about it is fixed.** Six stages — *knowledge, PM, planner, dev, QA, review* — and you choose the provider and model for every one of them, live, from the terminal. Claude plans, Codex writes, GPT reviews. The jury itself is a roster you seat, re-model and re-brief yourself. All of it runs on the coding CLIs you're already logged into, so **you may not need an API key at all**.
<br>
`pip install` · one command to run · no API key required · **macOS · Linux · Windows**
[](https://github.com/krishagarwal314/CodeJury/actions/workflows/ci.yml) ](https://www.openagentskill.com/skills/krishagarwal314-codejury)
[](https://www.openagentskill.com/skills/krishagarwal314-codejury)
[](https://www.openagentskill.com/skills/krishagarwal314-codejury/audit)
[](https://www.openagentskill.com/skills/krishagarwal314-codejury)作者
krishagarwal314✓
@krishagarwal314
健康信号
- GitHub Stars
- 137
- 质量评分
- 58/100
- 最近 GitHub 推送
- 2026年8月3日
- 框架提示
- 1
- OpenAgentSkill 浏览量
- 1
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度137 个 GitHub Stars信息
- Star/Fork 活跃度137 个 Star,23 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护距上次推送 19 天通过
- 许可证清晰度MIT通过
- README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
- 依赖与运行时风险command execution surface, credential or environment access修复
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