Crawler Summary

code-review-report answer-first brief

前端代码 Code Review 分析报告和人工/AI Coding 开发效率评估。 触发场景: - 用户请求代码评估、Code Review、代码质量报告 - 用户请求两周/一周/本周的代码分析 - 用户请求开发效率评估、AI coding 评估、工时对比 - 用户用口语表达如"帮我看看代码"、"分析下代码"、"代码写得怎么样" 输出内容:代码质量评分、AI代码占比分析、功能模块工时对比表、改进建议 --- name: code-review-report description: | 前端代码 Code Review 分析报告和人工/AI Coding 开发效率评估。 触发场景: - 用户请求代码评估、Code Review、代码质量报告 - 用户请求两周/一周/本周的代码分析 - 用户请求开发效率评估、AI coding 评估、工时对比 - 用户用口语表达如"帮我看看代码"、"分析下代码"、"代码写得怎么样" 输出内容:代码质量评分、AI代码占比分析、功能模块工时对比表、改进建议 --- 前端代码评估报告技能 执行流程 核心步骤 1. 收集数据 运行 Git 分析脚本获取统计数据: 脚本输出:提交次数、AI标记提交、代码变更行数、涉及文件数 2. 统计 AI 代码 扫描代码中的 AI 生成标记: 统计带 [AI] 标记的 Git 提交 3. 生成报告 使用模板 assets/report-template.md 生成报告 Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

code-review-report is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 94/100

code-review-report

前端代码 Code Review 分析报告和人工/AI Coding 开发效率评估。 触发场景: - 用户请求代码评估、Code Review、代码质量报告 - 用户请求两周/一周/本周的代码分析 - 用户请求开发效率评估、AI coding 评估、工时对比 - 用户用口语表达如"帮我看看代码"、"分析下代码"、"代码写得怎么样" 输出内容:代码质量评分、AI代码占比分析、功能模块工时对比表、改进建议 --- name: code-review-report description: | 前端代码 Code Review 分析报告和人工/AI Coding 开发效率评估。 触发场景: - 用户请求代码评估、Code Review、代码质量报告 - 用户请求两周/一周/本周的代码分析 - 用户请求开发效率评估、AI coding 评估、工时对比 - 用户用口语表达如"帮我看看代码"、"分析下代码"、"代码写得怎么样" 输出内容:代码质量评分、AI代码占比分析、功能模块工时对比表、改进建议 --- 前端代码评估报告技能 执行流程 核心步骤 1. 收集数据 运行 Git 分析脚本获取统计数据: 脚本输出:提交次数、AI标记提交、代码变更行数、涉及文件数 2. 统计 AI 代码 扫描代码中的 AI 生成标记: 统计带 [AI] 标记的 Git 提交 3. 生成报告 使用模板 assets/report-template.md 生成报告

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Lvguangai

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Setup snapshot

git clone https://github.com/lvguangai/code-review-report.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Lvguangai

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

4

Snippets

0

Languages

typescript

Parameters

Executable Examples

text

获取时间范围 → 收集Git数据 → 统计AI代码标记 → 代码质量分析 → 生成报告

bash

scripts/analyze-git.sh "2 weeks ago" "now"

javascript

// @ai-generated-start
// @ai-generated-end

text

请生成两周内的代码评估报告
生成 2026-01-20 至 2026-02-03 的 code review 报告
分析 src/pages 目录的代码质量

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

前端代码 Code Review 分析报告和人工/AI Coding 开发效率评估。 触发场景: - 用户请求代码评估、Code Review、代码质量报告 - 用户请求两周/一周/本周的代码分析 - 用户请求开发效率评估、AI coding 评估、工时对比 - 用户用口语表达如"帮我看看代码"、"分析下代码"、"代码写得怎么样" 输出内容:代码质量评分、AI代码占比分析、功能模块工时对比表、改进建议 --- name: code-review-report description: | 前端代码 Code Review 分析报告和人工/AI Coding 开发效率评估。 触发场景: - 用户请求代码评估、Code Review、代码质量报告 - 用户请求两周/一周/本周的代码分析 - 用户请求开发效率评估、AI coding 评估、工时对比 - 用户用口语表达如"帮我看看代码"、"分析下代码"、"代码写得怎么样" 输出内容:代码质量评分、AI代码占比分析、功能模块工时对比表、改进建议 --- 前端代码评估报告技能 执行流程 核心步骤 1. 收集数据 运行 Git 分析脚本获取统计数据: 脚本输出:提交次数、AI标记提交、代码变更行数、涉及文件数 2. 统计 AI 代码 扫描代码中的 AI 生成标记: 统计带 [AI] 标记的 Git 提交 3. 生成报告 使用模板 assets/report-template.md 生成报告

Full README

name: code-review-report description: | 前端代码 Code Review 分析报告和人工/AI Coding 开发效率评估。

触发场景:

  • 用户请求代码评估、Code Review、代码质量报告
  • 用户请求两周/一周/本周的代码分析
  • 用户请求开发效率评估、AI coding 评估、工时对比
  • 用户用口语表达如"帮我看看代码"、"分析下代码"、"代码写得怎么样"

输出内容:代码质量评分、AI代码占比分析、功能模块工时对比表、改进建议

前端代码评估报告技能

执行流程

获取时间范围 → 收集Git数据 → 统计AI代码标记 → 代码质量分析 → 生成报告

核心步骤

1. 收集数据

运行 Git 分析脚本获取统计数据:

scripts/analyze-git.sh "2 weeks ago" "now"

脚本输出:提交次数、AI标记提交、代码变更行数、涉及文件数

2. 统计 AI 代码

扫描代码中的 AI 生成标记:

// @ai-generated-start
// @ai-generated-end

统计带 [AI] 标记的 Git 提交

3. 生成报告

使用模板 assets/report-template.md 生成报告,包含:

| 模块 | 内容 | | -------------- | ----------------------------------------------- | | 代码质量总览 | 评分(/100)、TS覆盖率、提交/变更统计、AI代码占比 | | AI专项分析 | AI代码分布、质量等级、门禁检查 | | 深度检查 | 类型系统、组件设计、性能、样式、安全 | | 功能模块评估表 | 人工 vs AI Coding 工时对比、效率提升比 | | 改进建议 | P0/P1/P2 优先级问题、改进路线图 |

资源文件

| 文件 | 用途 | | --------------------------- | --------------------------- | | scripts/analyze-git.sh | Git 数据统计脚本 | | assets/report-template.md | 报告输出模板 | | REFERENCE.md | 检查清单、KPI定义、评分标准 | | EXAMPLES.md | 完整报告示例 | | references/*.md | 项目原始文档(4个) |

使用示例

请生成两周内的代码评估报告
生成 2026-01-20 至 2026-02-03 的 code review 报告
分析 src/pages 目录的代码质量

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/lvguangai-code-review-report/snapshot"
curl -s "https://xpersona.co/api/v1/agents/lvguangai-code-review-report/contract"
curl -s "https://xpersona.co/api/v1/agents/lvguangai-code-review-report/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/lvguangai-code-review-report/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/lvguangai-code-review-report/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/lvguangai-code-review-report/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/lvguangai-code-review-report/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/lvguangai-code-review-report/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/lvguangai-code-review-report/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:34:44.063Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Lvguangai",
    "href": "https://github.com/lvguangai/code-review-report",
    "sourceUrl": "https://github.com/lvguangai/code-review-report",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:16:34.029Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/lvguangai-code-review-report/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/lvguangai-code-review-report/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:16:34.029Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/lvguangai-code-review-report/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/lvguangai-code-review-report/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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