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
Crawler Summary
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
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
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Lvguangai
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
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.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Lvguangai
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
4
Snippets
0
Languages
typescript
Parameters
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
Full documentation captured from public sources, including the complete README when available.
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
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:
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
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
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
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 |
| 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) |
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
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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
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
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
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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
}
]Sponsored
Ads related to code-review-report and adjacent AI workflows.