技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v2.1.0
统计：⭐ 0 · 1.2k · 1 current installs · 1 all-time installs
⭐ 0
安装量（当前） 1
🛡 VirusTotal ：可疑 · OpenClaw ：良性
Package：datadrivenconstruction/standards-compliance-checker
安全扫描（ClawHub）
- VirusTotal ：可疑
- OpenClaw ：良性
OpenClaw 评估
The skill's requested binaries, filesystem permission, and instructions align with a data-validation helper for construction standards; nothing in the provided files indicates unexpected network access or unrelated credential requests, but because this is an instruction-only skill with filesystem permission and the SKILL.md was truncated, exercise normal caution.
目的
Name/description (standards compliance for ISO 19650, IFC, COBie, UniFormat) match the declared requirements: it needs python3 (to run the example code) and the claw.json lists filesystem permission which is consistent with accepting file paths and local project data.
说明范围
instructions.md and SKILL.md focus on gathering user-provided data, validating it with rule sets, and returning structured results. The SKILL.md includes example Python code for rule checking. The instructions explicitly say to only use data provided by the user, but the skill is granted filesystem permission — ensure the agent will only read files the user supplies and not arbitrary system files. The provided SKILL.md was truncated in the pac…
安装机制
There is no install specification (instruction-only), so no archives or third-party packages are downloaded. This is the lowest install risk; requiring python3 is reasonable for the provided example code.
证书
The skill requests no environment variables or credentials. That aligns with a local data validation tool. No external service keys are required according to the manifest and instruction files.
持久
always is false and the skill is user-invocable (normal). The claw.json lists the 'filesystem' permission which gives it potential to read files; this is proportionate for a data-validation skill that accepts file paths, but you should confirm the runtime enforces that only user-specified files are read and that the skill will not persist or exfiltrate data.
综合结论
This skill looks coherent for validating construction data: it needs python3 and can read local files to validate against rules. Before installing or running it: (1) Review the full SKILL.md/instructions for any network calls or endpoints (the provided SKILL.md in the listing was truncated); (2) Only supply project files you are comfortable sharing and avoid giving system or credential files as input; (3) Because the manifest grants filesystem…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Standards Compliance Checker」。简介：Check data compliance with construction standards. Validate data against ISO 19…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/datadrivenconstruction/standards-compliance-checker/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
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
```python
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 "n".join(lines)
```
## Quick Start
```python
# 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
```python
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
```python
records = [{"filename": "...", "status": "..."}, ...]
batch_report = checker.check_batch(records, Standard.ISO_19650)
print(f"Compliance rate: {batch_report['compliance_rate']}%")
```
### 3. Multiple Standards
```python
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