Xpersona

Crawler Summary

gitlab-mr-review-flow answer-first brief

标准化“需求描述 → 规范检索 (QMD) → 实现改动 → GitLab MCP 创建 MR → 代码评审报告”的流程技能。 --- name: gitlab-mr-review-flow description: 标准化“需求描述 → 规范检索 (QMD) → 实现改动 → GitLab MCP 创建 MR → 代码评审报告”的流程技能。 --- GitLab MR Review Flow with QMD & Rules Overview 规范化执行从需求拆解到 MR 创建与代码评审的全流程。 **核心增强**： 1. **QMD 集成**：在开发前自动检索相关的工程规范与文档。 2. **GitLab MCP**：强制使用 MCP 工具管理 MR。 3. **中文评审报告**：按规范输出标准化报告。 Workflow Decision Tree - 需要检索内部规范/文档 → 使用 qmd skill (search/get)。 - 需要隔离环境/并行修改 → 使用 using-git-worktrees skill。 - 涉及任何 git 操作 Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

gitlab-mr-review-flow is best for general automation workflows where MCP 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 94/100

gitlab-mr-review-flow

标准化“需求描述 → 规范检索 (QMD) → 实现改动 → GitLab MCP 创建 MR → 代码评审报告”的流程技能。 --- name: gitlab-mr-review-flow description: 标准化“需求描述 → 规范检索 (QMD) → 实现改动 → GitLab MCP 创建 MR → 代码评审报告”的流程技能。 --- GitLab MR Review Flow with QMD & Rules Overview 规范化执行从需求拆解到 MR 创建与代码评审的全流程。 **核心增强**： 1. **QMD 集成**：在开发前自动检索相关的工程规范与文档。 2. **GitLab MCP**：强制使用 MCP 工具管理 MR。 3. **中文评审报告**：按规范输出标准化报告。 Workflow Decision Tree - 需要检索内部规范/文档 → 使用 qmd skill (search/get)。 - 需要隔离环境/并行修改 → 使用 using-git-worktrees skill。 - 涉及任何 git 操作

MCPself-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

MCP

Freshness

Apr 15, 2026

Vendor

Doctoroyy

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Unpublished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.

View Source

Setup snapshot

git clone https://github.com/doctoroyy/gitlab-mr-review-flow.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

Doctoroyy

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

Protocol compatibility

MCP

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

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

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

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

# 示例
    qmd search "API 规范"
    qmd search "数据库命名"

bash

qmd get "path/to/relevant-doc.md"

bash

# 自动创建 Target 和 Source 分支
./scripts/start_feature.sh "{feature-name}"

bash

# Usage: ./scripts/create_mr.sh "MR Title"
export GITLAB_PERSONAL_ACCESS_TOKEN="<your-token>"
./scripts/create_mr.sh "feat: <Title>"

markdown

**AI Review:** {YYYYMMDD}-{BUILD_ID}
**参考规范库**: {列出参考的 QMD 文档}

对比基准： {BASE_BRANCH}

一、规范符合度检查 (Based on QMD)
- [ ] 规范A: {检查结果}
- [ ] 规范B: {检查结果}

二、严重问题
...

三、中等问题
...

四、总结
...

bash

# Usage: ./scripts/post_comment.sh <file> <line> "<comment>"
./scripts/post_comment.sh "bad_code.py" 10 "❌ Violation: ..."

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

标准化“需求描述 → 规范检索 (QMD) → 实现改动 → GitLab MCP 创建 MR → 代码评审报告”的流程技能。 --- name: gitlab-mr-review-flow description: 标准化“需求描述 → 规范检索 (QMD) → 实现改动 → GitLab MCP 创建 MR → 代码评审报告”的流程技能。 --- GitLab MR Review Flow with QMD & Rules Overview 规范化执行从需求拆解到 MR 创建与代码评审的全流程。 **核心增强**： 1. **QMD 集成**：在开发前自动检索相关的工程规范与文档。 2. **GitLab MCP**：强制使用 MCP 工具管理 MR。 3. **中文评审报告**：按规范输出标准化报告。 Workflow Decision Tree - 需要检索内部规范/文档 → 使用 qmd skill (search/get)。 - 需要隔离环境/并行修改 → 使用 using-git-worktrees skill。 - 涉及任何 git 操作

Full README

name: gitlab-mr-review-flow description: 标准化“需求描述 → 规范检索 (QMD) → 实现改动 → GitLab MCP 创建 MR → 代码评审报告”的流程技能。

GitLab MR Review Flow with QMD & Rules

Overview

规范化执行从需求拆解到 MR 创建与代码评审的全流程。 核心增强：

  1. QMD 集成：在开发前自动检索相关的工程规范与文档。
  2. GitLab MCP：强制使用 MCP 工具管理 MR。
  3. 中文评审报告：按规范输出标准化报告。

Workflow Decision Tree

  • 需要检索内部规范/文档 → 使用 qmd skill (search/get)。
  • 需要隔离环境/并行修改 → 使用 using-git-worktrees skill。
  • 涉及任何 git 操作 → 必须使用 git-master skill。
  • 需要创建/更新 MR → 必须使用 GitLab MCP。
  • 需要评审报告 → 使用 requesting-code-review skill 并输出中文报告。

Step 1. Gather Inputs & Context

收集并确认：

  • 仓库路径与目标模块范围
  • 需求来源（文档/issue/日志）与验收标准
  • 关键词提取：用于 QMD 检索的关键词 (e.g., "API 规范", "数据库设计", "错误处理").

Step 2. Retrieve Norms & Documentation (QMD)

在动手写代码前，先检索相关的业务或技术规范。

  1. Search: 根据提取的关键词检索文档。 
    # 示例
qmd search "API 规范"
qmd search "数据库命名"
  2. Read: 读取最相关的 1-2 份文档，提取对本次开发有约束力的条款。 
    qmd get "path/to/relevant-doc.md"
  3. Context Injection: 将提取到的规范点记录在上下文中，后续用于 Self-Check 和 Code Review。

Step 3. Prepare Workspace & Implement

  1. 读取仓库内 AGENTS.md 约束。
  2. 如需隔离，使用 using-git-worktrees。
  3. 实现改动，保持原子提交。
  4. 执行测试并记录结果。

Step 4. Branching & Push

分支命名规则

  • Target: fix-{feature}-mr 或 feat-{feature}-mr (空分支)
  • Source: fix-{feature} 或 feat-{feature} (含改动)

操作流程

# 自动创建 Target 和 Source 分支
./scripts/start_feature.sh "{feature-name}"

Step 5. Create MR via GitLab MCP

必须使用 GitLab MCP。禁止浏览器操作。

MR 描述模板 (需包含根因、改动、以及遵循的规范): (Script create_mr.sh contains the template)

Automatically create MR using the script:

# Usage: ./scripts/create_mr.sh "MR Title"
export GITLAB_PERSONAL_ACCESS_TOKEN="<your-token>"
./scripts/create_mr.sh "feat: <Title>"

Step 6. Code Review Report (中文)

调用 requesting-code-review skill，结合 Step 2 获取的规范进行评审。

评审重点:

  1. 是否符合 QMD 检索到的规范？
  2. 是否存在逻辑漏洞？
  3. 代码风格与最佳实践。

报告模板:

**AI Review:** {YYYYMMDD}-{BUILD_ID}
**参考规范库**: {列出参考的 QMD 文档}

对比基准： {BASE_BRANCH}

一、规范符合度检查 (Based on QMD)
- [ ] 规范A: {检查结果}
- [ ] 规范B: {检查结果}

二、严重问题
...

三、中等问题
...

四、总结
...

Step 7. Inline Code Comments (Discussions)

对于规范违例，必须在 MR Diff 中进行行级评论。

  1. Locate Violation: Identify file and line number.
  2. Post Discussion: Run the helper script.
# Usage: ./scripts/post_comment.sh <file> <line> "<comment>"
./scripts/post_comment.sh "bad_code.py" 10 "❌ Violation: ..."

Contract & API

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

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

MCP: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/doctoroyy-gitlab-mr-review-flow/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/doctoroyy-gitlab-mr-review-flow/contract"
curl -s "https://www.xpersona.co/api/v1/agents/doctoroyy-gitlab-mr-review-flow/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
Ard RegistryUpdated 0h agoRank 94

ShortlistLens

Structured website and review evidence for AI-assisted local-business shortlisting.

MCPmcpmcp-registry
Ard RegistryUpdated 0h agoRank 94

Inferventis MCP Server

Loan & mortgage calculator, compound interest, ROI, crypto prices, FX conversion for AI agents.

MCPmcpmcp-registry
Ard RegistryUpdated 0h agoRank 94

io.github.Deesmo/arch-tools-mcp

63 production tools for AI agents — one API key, pay per call in USDC (x402) or Stripe credits.

MCPmcpmcp-registry
Agent hubMore from this sourceMCP agents
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://www.xpersona.co/api/v1/agents/doctoroyy-gitlab-mr-review-flow/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/doctoroyy-gitlab-mr-review-flow/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/doctoroyy-gitlab-mr-review-flow/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/doctoroyy-gitlab-mr-review-flow/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/doctoroyy-gitlab-mr-review-flow/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/doctoroyy-gitlab-mr-review-flow/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T03:28:03.433Z"
    }
  },
  "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": "MCP",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:MCP|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "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,
    "metadata": {}
  },
  {
    "factKey": "vendor",
    "label": "Vendor",
    "value": "Doctoroyy",
    "category": "vendor",
    "href": "https://github.com/doctoroyy/gitlab-mr-review-flow",
    "sourceUrl": "https://github.com/doctoroyy/gitlab-mr-review-flow",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:16:05.162Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "MCP",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/doctoroyy-gitlab-mr-review-flow/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/doctoroyy-gitlab-mr-review-flow/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:16:05.162Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/doctoroyy-gitlab-mr-review-flow/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/doctoroyy-gitlab-mr-review-flow/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

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,
    "metadata": {}
  }
]

Sponsored

Ads related to gitlab-mr-review-flow and adjacent AI workflows.