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Agent Skill · 开发

standards-compliance-checker(标准符合性检查员)

standards-compliance-checker 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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。

standards-compliance-checker 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 919。

总安装 50,474周安装 2,146GitHub Stars 公开资料未说明下载 17,683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
MIT-0
版本
2.1.0

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:standards-compliance-checker(标准符合性检查员)
来源仓库:https://github.com/datadrivenconstruction/standards-compliance-checker
安装命令:
openclaw skills install standards-compliance-checker
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install standards-compliance-checker

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

检查数据是否符合施工标准。根据 ISO 19650、IFC、COBie、UniFormat 标准验证数据。

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 OpenClaw;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 openclaw skills install standards-compliance-checker;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

    它需要需要联网,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

standards-compliance-checker 怎么安装?

在终端执行 openclaw skills install standards-compliance-checker。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

standards-compliance-checker 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

standards-compliance-checker 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

standards-compliance-checker 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

standards-compliance-checker 用的人多吗?

公开数据是累计安装 50,474 次,近一周安装 2,146 次,下载 17,683 次。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。

standards-compliance-checker 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
standards-compliance-checker

标准符合性检查员 · 本页

50,474—需要联网MIT-0有提醒

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

name
standards-compliance-checker
description
Check data compliance with construction standards. Validate data against ISO 19650, IFC, COBie, UniFormat standards.
homepage
https://datadrivenconstruction.io
metadata
{"openclaw": {"emoji": "📐", "os": ["darwin", "linux", "win32"], "homepage": "https://datadrivenconstruction.io", "requires": {"bins": ["python3"]}}}

Standards Compliance Checker

Business Case

Problem Statement

Construction data compliance challenges:

  • Multiple standards to meet
  • Complex validation rules
  • Inconsistent implementations
  • Manual checking is error-prone

Solution

Automated compliance checking against major construction data standards including ISO 19650, IFC, COBie, and UniFormat.

Technical Implementation

from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
import re


class Standard(Enum):
    ISO_19650 = "iso_19650"
    IFC = "ifc"
    COBIE = "cobie"
    UNIFORMAT = "uniformat"
    OMNICLASS = "omniclass"
    MASTERFORMAT = "masterformat"


class ComplianceLevel(Enum):
    COMPLIANT = "compliant"
    MINOR_ISSUES = "minor_issues"
    MAJOR_ISSUES = "major_issues"
    NON_COMPLIANT = "non_compliant"


@dataclass
class ComplianceIssue:
    rule_id: str
    rule_name: str
    severity: str  # error, warning, info
    message: str
    field: str = ""
    value: Any = None


@dataclass
class ComplianceReport:
    standard: Standard
    total_rules: int
    passed: int
    failed: int
    warnings: int
    compliance_level: ComplianceLevel
    issues: List[ComplianceIssue] = field(default_factory=list)


class StandardsComplianceChecker:
    """Check compliance with construction data standards."""

    def __init__(self):
        self.rules: Dict[Standard, List[Dict]] = self._load_rules()

    def _load_rules(self) -> Dict[Standard, List[Dict]]:
        """Load compliance rules for each standard."""

        return {
            Standard.ISO_19650: [
                {"id": "ISO-001", "name": "File naming convention", "field": "filename",
                 "pattern": r"^[A-Z]{2,6}-[A-Z]{2,4}-[A-Z]{2,3}-[A-Z0-9]{2,4}-[A-Z]{2,3}-[A-Z]{2,4}-[A-Z0-9]{3,8}$"},
                {"id": "ISO-002", "name": "Status code valid", "field": "status",
                 "values": ["WIP", "S0", "S1", "S2", "S3", "S4", "A", "B", "CR"]},
                {"id": "ISO-003", "name": "Revision format", "field": "revision",
                 "pattern": r"^P[0-9]{2}|C[0-9]{2}$"},
            ],
            Standard.IFC: [
                {"id": "IFC-001", "name": "GUID format", "field": "global_id",
                 "pattern": r"^[0-9A-Za-z_$]{22}$"},
                {"id": "IFC-002", "name": "Name required", "field": "name", "required": True},
                {"id": "IFC-003", "name": "ObjectType defined", "field": "object_type", "required": True},
            ],
            Standard.COBIE: [
                {"id": "COB-001", "name": "Facility name", "field": "facility_name", "required": True},
                {"id": "COB-002", "name": "Space name format", "field": "space_name",
                 "pattern": r"^[A-Z0-9]{2,10}[-_]?[A-Z0-9]{0,10}$"},
                {"id": "COB-003", "name": "Component type", "field": "component_type", "required": True},
                {"id": "COB-004", "name": "Manufacturer info", "field": "manufacturer", "required": True},
            ],
            Standard.UNIFORMAT: [
                {"id": "UNI-001", "name": "Level 1 code", "field": "level1",
                 "values": ["A", "B", "C", "D", "E", "F", "G", "Z"]},
                {"id": "UNI-002", "name": "Code format", "field": "code",
                 "pattern": r"^[A-G][0-9]{4}$"},
            ],
            Standard.MASTERFORMAT: [
                {"id": "MF-001", "name": "Division format", "field": "division",
                 "pattern": r"^[0-9]{2}$"},
                {"id": "MF-002", "name": "Section format", "field": "section",
                 "pattern": r"^[0-9]{2}\s?[0-9]{2}\s?[0-9]{2}(\.[0-9]{2})?$"},
            ]
        }

    def check_compliance(self, data: Dict[str, Any],
                        standard: Standard) -> ComplianceReport:
        """Check data against specified standard."""

        rules = self.rules.get(standard, [])
        issues = []
        passed = 0
        failed = 0
        warnings = 0

        for rule in rules:
            result = self._check_rule(data, rule)
            if result:
                issues.append(result)
                if result.severity == "error":
                    failed += 1
                else:
                    warnings += 1
            else:
                passed += 1

        # Determine compliance level
        if failed == 0 and warnings == 0:
            level = ComplianceLevel.COMPLIANT
        elif failed == 0:
            level = ComplianceLevel.MINOR_ISSUES
        elif failed <= len(rules) * 0.3:
            level = ComplianceLevel.MAJOR_ISSUES
        else:
            level = ComplianceLevel.NON_COMPLIANT

        return ComplianceReport(
            standard=standard,
            total_rules=len(rules),
            passed=passed,
            failed=failed,
            warnings=warnings,
            compliance_level=level,
            issues=issues
        )

    def _check_rule(self, data: Dict[str, Any], rule: Dict) -> Optional[ComplianceIssue]:
        """Check single compliance rule."""

        field = rule.get('field', '')
        value = data.get(field)

        # Required check
        if rule.get('required') and (value is None or value == ''):
            return ComplianceIssue(
                rule_id=rule['id'],
                rule_name=rule['name'],
                severity="error",
                message=f"Required field '{field}' is missing",
                field=field
            )

        # Skip other checks if value is empty
        if value is None or value == '':
            return None

        # Pattern check
        if 'pattern' in rule:
            if not re.match(rule['pattern'], str(value)):
                return ComplianceIssue(
                    rule_id=rule['id'],
                    rule_name=rule['name'],
                    severity="error",
                    message=f"Field '{field}' does not match required format",
                    field=field,
                    value=value
                )

        # Allowed values check
        if 'values' in rule:
            if value not in rule['values']:
                return ComplianceIssue(
                    rule_id=rule['id'],
                    rule_name=rule['name'],
                    severity="error",
                    message=f"Field '{field}' must be one of: {rule['values']}",
                    field=field,
                    value=value
                )

        return None

    def check_multiple_standards(self, data: Dict[str, Any],
                                  standards: List[Standard]) -> Dict[str, ComplianceReport]:
        """Check data against multiple standards."""

        reports = {}
        for standard in standards:
            reports[standard.value] = self.check_compliance(data, standard)
        return reports

    def check_batch(self, records: List[Dict[str, Any]],
                    standard: Standard) -> Dict[str, Any]:
        """Check multiple records against standard."""

        all_issues = []
        compliant_count = 0

        for i, record in enumerate(records):
            report = self.check_compliance(record, standard)
            if report.compliance_level == ComplianceLevel.COMPLIANT:
                compliant_count += 1
            for issue in report.issues:
                all_issues.append({
                    'record_index': i,
                    'rule_id': issue.rule_id,
                    'field': issue.field,
                    'message': issue.message
                })

        return {
            'standard': standard.value,
            'total_records': len(records),
            'compliant_records': compliant_count,
            'compliance_rate': round(compliant_count / len(records) * 100, 1) if records else 0,
            'total_issues': len(all_issues),
            'issues': all_issues
        }

    def add_custom_rule(self, standard: Standard, rule: Dict):
        """Add custom compliance rule."""

        if standard not in self.rules:
            self.rules[standard] = []
        self.rules[standard].append(rule)

    def generate_report_summary(self, report: ComplianceReport) -> str:
        """Generate human-readable report summary."""

        lines = [
            f"Compliance Report: {report.standard.value.upper()}",
            "=" * 40,
            f"Total Rules: {report.total_rules}",
            f"Passed: {report.passed}",
            f"Failed: {report.failed}",
            f"Warnings: {report.warnings}",
            f"Status: {report.compliance_level.value.upper()}",
            "",
            "Issues:"
        ]

        for issue in report.issues:
            lines.append(f"  [{issue.severity.upper()}] {issue.rule_id}: {issue.message}")

        return "\
".join(lines)

Quick Start

# Initialize checker
checker = StandardsComplianceChecker()

# Check ISO 19650 compliance
data = {
    "filename": "PRJ-ARC-MOD-0001-DWG-PLAN-001",
    "status": "S3",
    "revision": "P01"
}

report = checker.check_compliance(data, Standard.ISO_19650)
print(f"Compliance: {report.compliance_level.value}")
print(f"Passed: {report.passed}/{report.total_rules}")

Common Use Cases

1. COBie Validation

cobie_data = {
    "facility_name": "Building A",
    "space_name": "OFFICE-101",
    "component_type": "HVAC_Unit",
    "manufacturer": "Carrier"
}
report = checker.check_compliance(cobie_data, Standard.COBIE)

2. Batch Validation

records = [{"filename": "...", "status": "..."}, ...]
batch_report = checker.check_batch(records, Standard.ISO_19650)
print(f"Compliance rate: {batch_report['compliance_rate']}%")

3. Multiple Standards

reports = checker.check_multiple_standards(
    data,
    [Standard.ISO_19650, Standard.IFC]
)

Resources

  • DDC Book: Chapter 2.5 - Data Models and Standards
  • ISO 19650: Information management using BIM
  • Website: https://datadrivenconstruction.io

平台分布

OpenClaw

81.58%
按下载量换算14,426

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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