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Agent Skill · 研究检索

orchestrate-review(协调审查)

orchestrate-review 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

orchestrate-review 是研究检索类 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;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 71,089。

总安装 196周安装 8GitHub Stars 748下载 63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
unknown

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:orchestrate-review(协调审查)
来源仓库:https://github.com/agent-sh/agentsys
仓库路径:skills/orchestrate-review
安装命令:
npx skills add https://github.com/agent-sh/agentsys --skill orchestrate-review
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/agent-sh/agentsys --skill orchestrate-review

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。

发起多轮并行代码审查,自动分派专项任务直至结果干净。适用于跨模块协作项目的高质量代码审核与缺陷预防场景。根据变更范围动态选择审查专家,支持核心质量、安全等多个维度检查。每轮审查需独立运行,禁止并行处理以保证结果准确性。输出包含迭代证据链,但最终判断仍需人工介入确认。

orchestrate-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/orchestrate-review

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/agent-sh/agentsys --skill orchestrate-review;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

orchestrate-review 怎么安装?

在终端执行 npx skills add https://github.com/agent-sh/agentsys --skill orchestrate-review。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

orchestrate-review 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。

orchestrate-review 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/agent-sh/agentsys --skill orchestrate-review 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。

orchestrate-review 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

orchestrate-review 用的人多吗?

公开数据是累计安装 196 次,近一周安装 8 次,下载 63 次,GitHub 748 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。

orchestrate-review 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。
  • 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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。
  • 需要明确授权才能用到公司项目里的场景。
  • 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
orchestrate-review

协调审查 · 本页

196748执行命令未明确通过

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

Orchestrate Review

Multi-pass code review with parallel Task agents, finding aggregation, and iteration until clean.

Scope-Based Specialist Selection

Select conditional specialists based on the review scope:

  • User request: Detect signals from content user refers to (files, directory, module)
  • Workflow (Phase 9): Detect signals from changed files only
  • Project audit: Detect signals from project structure as a whole

Review Passes

Spawn parallel general-purpose Task agents (model: sonnet), one per pass:

Core (Always)

const corePasses = [
  { id: 'code-quality', role: 'code quality reviewer',
    focus: ['Style and consistency', 'Best practices', 'Bugs and logic errors', 'Error handling', 'Maintainability', 'Duplication'] },
  { id: 'security', role: 'security reviewer',
    focus: ['Auth/authz flaws', 'Input validation', 'Injection risks', 'Secrets exposure', 'Insecure defaults'] },
  { id: 'performance', role: 'performance reviewer',
    focus: ['N+1 queries', 'Blocking operations', 'Hot path inefficiencies', 'Memory leaks'] },
  { id: 'test-coverage', role: 'test coverage reviewer',
    focus: ['Missing tests', 'Edge case coverage', 'Test quality', 'Integration needs', 'Mock appropriateness'] }
];

Conditional (Signal-Based)

if (signals.hasDb) passes.push({ id: 'database', role: 'database specialist',
  focus: ['Query performance', 'Indexes/transactions', 'Migration safety', 'Data integrity'] });
if (signals.needsArchitecture) passes.push({ id: 'architecture', role: 'architecture reviewer',
  focus: ['Module boundaries', 'Dependency direction', 'Cross-layer coupling', 'Pattern consistency'] });
if (signals.hasApi) passes.push({ id: 'api', role: 'api designer',
  focus: ['REST conventions', 'Error/status consistency', 'Pagination/filters', 'Versioning'] });
if (signals.hasFrontend) passes.push({ id: 'frontend', role: 'frontend specialist',
  focus: ['Component boundaries', 'State management', 'Accessibility', 'Render performance'] });
if (signals.hasBackend) passes.push({ id: 'backend', role: 'backend specialist',
  focus: ['Service boundaries', 'Domain logic', 'Concurrency/idempotency', 'Background job safety'] });
if (signals.hasDevops) passes.push({ id: 'devops', role: 'devops reviewer',
  focus: ['CI/CD safety', 'Secrets handling', 'Build/test pipelines', 'Deploy config'] });

Signal Detection

const signals = {
  hasDb: files.some(f => /(db|migrations?|schema|prisma|typeorm|sql)/i.test(f)),
  hasApi: files.some(f => /(api|routes?|controllers?|handlers?)/i.test(f)),
  hasFrontend: files.some(f => /\.(tsx|jsx|vue|svelte)$/.test(f)),
  hasBackend: files.some(f => /(server|backend|services?|domain)/i.test(f)),
  hasDevops: files.some(f => /(\.github\/workflows|Dockerfile|k8s|terraform)/i.test(f)),
  needsArchitecture: files.length > 20  // 20+ files typically indicates cross-module changes
};

Task Prompt Template

You are a ${pass.role}. Review these changed files:
${files.join('\n')}

Focus: ${pass.focus.map(f => `- ${f}`).join('\n')}

Return JSON:
{
  "pass": "${pass.id}",
  "findings": [{
    "file": "path.ts",
    "line": 42,
    "severity": "critical|high|medium|low",
    "description": "Issue",
    "suggestion": "Fix",
    "confidence": "high|medium|low",
    "falsePositive": false
  }]
}

Example findings (diverse passes and severities):

// Security - high severity
{ "file": "src/auth/login.ts", "line": 89, "severity": "high",
  "description": "Password comparison uses timing-vulnerable string equality",
  "suggestion": "Use crypto.timingSafeEqual() instead of ===",
  "confidence": "high", "falsePositive": false }

// Code quality - medium severity
{ "file": "src/utils/helpers.ts", "line": 45, "severity": "medium",
  "description": "Duplicated validation logic exists in src/api/validators.ts:23",
  "suggestion": "Extract to shared lib/validation.ts",
  "confidence": "high", "falsePositive": false }

// Performance - low severity
{ "file": "src/config.ts", "line": 12, "severity": "low",
  "description": "Magic number 3600 should be named constant",
  "suggestion": "const CACHE_TTL_SECONDS = 3600;",
  "confidence": "medium", "falsePositive": false }

// False positive example
{ "file": "src/crypto/hash.ts", "line": 78, "severity": "high",
  "description": "Non-constant time comparison",
  "suggestion": "N/A - intentional for non-secret data",
  "confidence": "low", "falsePositive": true }

Report all issues with confidence >= medium. Empty findings array if clean.

Aggregation

function aggregateFindings(results) {
  const items = [];
  for (const {pass, findings = []} of results) {
    for (const f of findings) {
      items.push({
        id: `${pass}:${f.file}:${f.line}:${f.description}`,
        pass, ...f,
        status: f.falsePositive ? 'false-positive' : 'open'
      });
    }
  }

  // Deduplicate by id
  const deduped = [...new Map(items.map(i => [i.id, i])).values()];

  // Group by severity
  const bySeverity = {critical: [], high: [], medium: [], low: []};
  deduped.forEach(i => !i.falsePositive && bySeverity[i.severity || 'low'].push(i));

  const totals = Object.fromEntries(Object.entries(bySeverity).map(([k, v]) => [k, v.length]));

  return {
    items: deduped,
    bySeverity,
    totals,
    openCount: Object.values(totals).reduce((a, b) => a + b, 0)
  };
}

Iteration Loop

Security Note: Fixes are applied by the orchestrator using standard Edit tool permissions. Critical/high severity findings should be reviewed before applying - do not blindly apply LLM-suggested fixes to security-sensitive code. The orchestrator validates each fix against the original issue.

// 5 iterations balances thoroughness vs cost; 1 stall (2 consecutive identical-hash iterations) indicates fixes aren't progressing
const MAX_ITERATIONS = 5, MAX_STALLS = 1;
let iteration = 1, stallCount = 0, lastHash = null;

while (iteration <= MAX_ITERATIONS) {
  // 1. Spawn parallel Task agents
  const results = await Promise.all(passes.map(pass => Task({
    subagent_type: 'general-purpose',
    model: 'sonnet',
    prompt: /* see template above */
  })));

  // 2. Aggregate findings
  const findings = aggregateFindings(results);

  // 3. Check if done
  if (findings.openCount === 0) {
    workflowState.completePhase({ approved: true, iterations: iteration });
    break;
  }

  // 4. Fix issues (severity order: critical → high → medium → low)
  // Orchestrator reviews each suggestion before applying via Edit tool
  for (const issue of [...findings.bySeverity.critical, ...findings.bySeverity.high,
                          ...findings.bySeverity.medium, ...findings.bySeverity.low]) {
    if (!issue.falsePositive) {
      // Read file, locate issue.line, validate suggestion, apply via Edit tool
      // For complex fixes, use simple-fixer agent pattern
    }
  }

  // 5. Commit
  exec(`git add . && git commit -m "fix: review feedback (iteration ${iteration})"`);

  // 6. Post-iteration deslop
  Task({ subagent_type: 'deslop-agent', model: 'sonnet' });

  // 7. Stall detection
  const hash = crypto.createHash('sha256')
    .update(JSON.stringify(findings.items.filter(i => !i.falsePositive)))
    .digest('hex');
  stallCount = hash === lastHash ? stallCount + 1 : 0;
  lastHash = hash;

  // 8. Check limits
  if (stallCount >= MAX_STALLS || iteration >= MAX_ITERATIONS) {
    const reason = stallCount >= MAX_STALLS ? 'stall-detected' : 'iteration-limit';
    console.log(`[BLOCKED] Review loop ended: ${reason}. Remaining: ${JSON.stringify(findings.totals)}`);
    // Ask the user before advancing - do not silently proceed to delivery-validation
    const question = `Review loop blocked (${reason}). Open issues remain. How should we proceed?`;
    const response = AskUserQuestion({
      questions: [{
        question,
        header: 'Review Blocked',
        multiSelect: false,
        options: [
          { label: 'Override and proceed', description: 'Advance to delivery-validation with unresolved issues (risky)' },
          { label: 'Abort workflow', description: 'Stop here; open issues must be fixed manually' }
        ]
      }]
    });
    // AskUserQuestion returns { answers: { [questionText]: selectedLabel } }
    const choice = response.answers?.[question] ?? response[question];
    if (choice === 'Override and proceed') {
      workflowState.completePhase({
        approved: false, blocked: true, overridden: true,
        reason, remaining: findings.totals
      });
    } else {
      workflowState.failPhase(`Review blocked: ${reason}. ${JSON.stringify(findings.totals)} issues remain.`);
    }
    break;
  }

  iteration++;
}

Review Queue

Store state at {stateDir}/review-queue-{timestamp}.json:

{
  "status": "open|resolved|blocked",
  "scope": { "type": "diff", "files": ["..."] },
  "passes": ["code-quality", "security"],
  "items": [],
  "iteration": 0,
  "stallCount": 0
}

Delete when approved. Keep when blocked for orchestrator inspection.

Cross-Platform Compatibility

This skill uses Task({subagent_type:...}) which is Claude Code syntax. For other platforms:

PlatformEquivalent Syntax
Claude CodeTask({subagent_type: 'general-purpose', model: 'sonnet', prompt:...})
OpenCodespawn_agent({type: 'general-purpose', model: 'sonnet', prompt:...})
Codex CLI$agent general-purpose --model sonnet --prompt "..."

The aggregation and iteration logic remains the same across platforms - only the agent spawning syntax differs.

平台分布

Codex

35.68%
按下载量换算22

Claude

31.44%
按下载量换算20

Cursor

19.11%
按下载量换算12

Gemini CLI

9.28%
按下载量换算6

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/agent-sh/agentsys --skill orchestrate-review 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。目前只有一个公开来源,建议同时核对源仓库。

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