Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill validation-rules-buildergit clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/validation-rules-builder)<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/validation-rules-builder"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/validation-rules-builder/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/validation-rules-builder"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/validation-rules-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.03123 |
| Opus 5.5 | $0.00012 | $0.01249 |
| Sonnet 5.5 | $0.00006 | $0.00625 |
| Haiku 4.5 | $0.00003 | $0.00312 |
Grade A, and why
validation-rules-builder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- validation-rules-builder — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 423 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validation Rules Builder
Business Case
Problem Statement
Construction data quality challenges:
- Inconsistent naming conventions
- Invalid cost codes and WBS
- Missing or malformed data
- Non-compliant BIM elements
Solution
Rule-based validation engine using RegEx and logic rules to ensure data quality across construction systems.
Technical Implementation
import re
from typing import Dict, Any, List, Optional, Callable
from dataclasses import dataclass, field
from enum import Enum
from datetime import date
class RuleType(Enum):
REGEX = "regex"
RANGE = "range"
ENUM = "enum"
CUSTOM = "custom"
REQUIRED = "required"
DATE = "date"
REFERENCE = "reference"
class Severity(Enum):
ERROR = "error"
WARNING = "warning"
INFO = "info"
@dataclass
class ValidationResult:
field: str
is_valid: bool
message: str
severity: Severity
value: Any = None
@dataclass
class ValidationRule:
name: str
field: str
rule_type: RuleType
pattern: str = ""
min_value: float = None
max_value: float = None
allowed_values: List[Any] = field(default_factory=list)
custom_func: Callable = None
severity: Severity = Severity.ERROR
message: str = ""
enabled: bool = True
class ValidationRulesBuilder:
"""Build and execute validation rules for construction data."""
# Pre-defined patterns for construction data
PATTERNS = {
'wbs_code': r'^[0-9]{2}\.[0-9]{2}\.[0-9]{2}(\.[0-9]{2})?$',
'cost_code': r'^[A-Z]{1,3}-[0-9]{3,6}$',
'activity_id': r'^[A-Z]{1,3}[0-9]{4,6}$',
'drawing_number': r'^[A-Z]{1,2}-[0-9]{3}-[A-Z0-9]{2,4}$',
'specification_section': r'^[0-9]{2}\s?[0-9]{2}\s?[0-9]{2}(\.[0-9]{2})?$',
'level_name': r'^(Level|L|FL)\s?[-_]?\s?([0-9]{1,3}|B[0-9]|R|G|M)$',
'grid_line': r'^[A-Z]\.?[0-9]?$|^[0-9]{1,2}\.?[A-Z]?$',
'revision': r'^[A-Z]$|^[0-9]{1,2}$|^Rev\.?\s?[A-Z0-9]+$',
'date_iso': r'^\d{4}-\d{2}-\d{2}$',
'email': r'^[\w\.-]+@[\w\.-]+\.\w+$',
'phone': r'^\+?[0-9]{1,3}[-.\s]?[0-9]{3,4}[-.\s]?[0-9]{4}$',
}
def __init__(self):
self.rules: List[ValidationRule] = []
self.custom_patterns: Dict[str, str] = {}
def add_regex_rule(self,
name: str,
field: str,
pattern: str,
message: str = "",
severity: Severity = Severity.ERROR) -> 'ValidationRulesBuilder':
"""Add regex validation rule."""
self.rules.append(ValidationRule(
name=name,
field=field,
rule_type=RuleType.REGEX,
pattern=pattern,
message=message or f"Field '{field}' does not match pattern",
severity=severity
))
return self
def add_range_rule(self,
name: str,
field: str,
min_value: float = None,
max_value: float = None,
message: str = "",
severity: Severity = Severity.ERROR) -> 'ValidationRulesBuilder':
"""Add numeric range validation rule."""
self.rules.append(ValidationRule(
name=name,
field=field,
rule_type=RuleType.RANGE,
min_value=min_value,
max_value=max_value,
message=message or f"Field '{field}' out of range [{min_value}, {max_value}]",
severity=severity
))
return self
def add_enum_rule(self,
name: str,
field: str,
allowed_values: List[Any],
message: str = "",
severity: Severity = Severity.ERROR) -> 'ValidationRulesBuilder':
"""Add enumeration validation rule."""
self.rules.append(ValidationRule(
name=name,
field=field,
rule_type=RuleType.ENUM,
allowed_values=allowed_values,
message=message or f"Field '{field}' must be one of: {allowed_values}",
severity=severity
))
return self
def add_required_rule(self,
name: str,
field: str,
message: str = "",
severity: Severity = Severity.ERROR) -> 'ValidationRulesBuilder':
"""Add required field validation rule."""
self.rules.append(ValidationRule(
name=name,
field=field,
rule_type=RuleType.REQUIRED,
message=message or f"Field '{field}' is required",
severity=severity
))
return self
def add_custom_rule(self,
name: str,
field: str,
func: Callable[[Any], bool],
message: str = "",
severity: Severity = Severity.ERROR) -> 'ValidationRulesBuilder':
"""Add custom validation function."""
self.rules.append(ValidationRule(
name=name,
field=field,
rule_type=RuleType.CUSTOM,
custom_func=func,
message=message or f"Field '{field}' failed custom validation",
severity=severity
))
return self
def add_pattern(self, name: str, pattern: str):
"""Add custom pattern for reuse."""
self.custom_patterns[name] = pattern
def use_pattern(self,
rule_name: str,
field: str,
pattern_name: str,
message: str = "",
severity: Severity = Severity.ERROR) -> 'ValidationRulesBuilder':
"""Use pre-defined or custom pattern."""
pattern = self.custom_patterns.get(pattern_name) or self.PATTERNS.get(pattern_name)
if not pattern:
raise ValueError(f"Pattern '{pattern_name}' not found")
return self.add_regex_rule(rule_name, field, pattern, message, severity)
def validate_record(self, record: Dict[str, Any]) -> List[ValidationResult]:
"""Validate a single record against all rules."""
results = []
for rule in self.rules:
if not rule.enabled:
continue
value = record.get(rule.field)
result = self._apply_rule(rule, value)
results.append(result)
return results
def validate_records(self, records: List[Dict[str, Any]]) -> Dict[str, Any]:
"""Validate multiple records and return summary."""
all_results = []
error_count = 0
warning_count = 0
for i, record in enumerate(records):
record_results = self.validate_record(record)
for result in record_results:
if not result.is_valid:
result_dict = {
'record_index': i,
'field': result.field,
'message': result.message,
'severity': result.severity.value,
'value': result.value
}
all_results.append(result_dict)
if result.severity == Severity.ERROR:
error_count += 1
elif result.severity == Severity.WARNING:
warning_count += 1
return {
'total_records': len(records),
'valid_records': len(records) - len(set(r['record_index'] for r in all_results if r['severity'] == 'error')),
'error_count': error_count,
'warning_count': warning_count,
'issues': all_results
}
def _apply_rule(self, rule: ValidationRule, value: Any) -> ValidationResult:
"""Apply single validation rule."""
if rule.rule_type == RuleType.REQUIRED:
is_valid = value is not None and value != "" and value != []
return ValidationResult(
field=rule.field,
is_valid=is_valid,
message="" if is_valid else rule.message,
severity=rule.severity,
value=value
)
# Skip other validations if value is None/empty
if value is None or value == "":
return ValidationResult(
field=rule.field,
is_valid=True,
message="",
severity=rule.severity,
value=value
)
if rule.rule_type == RuleType.REGEX:
is_valid = bool(re.match(rule.pattern, str(value)))
elif rule.rule_type == RuleType.RANGE:
try:
num_value = float(value)
is_valid = True
if rule.min_value is not None and num_value < rule.min_value:
is_valid = False
if rule.max_value is not None and num_value > rule.max_value:
is_valid = False
except (ValueError, TypeError):
is_valid = False
elif rule.rule_type == RuleType.ENUM:
is_valid = value in rule.allowed_values
elif rule.rule_type == RuleType.CUSTOM:
try:
is_valid = rule.custom_func(value)
except Exception:
is_valid = False
else:
is_valid = True
return ValidationResult(
field=rule.field,
is_valid=is_valid,
message="" if is_valid else rule.message,
severity=rule.severity,
value=value
)
def get_rules_summary(self) -> List[Dict]:
"""Get summary of all rules."""
return [{
'name': r.name,
'field': r.field,
'type': r.rule_type.value,
'severity': r.severity.value,
'enabled': r.enabled
} for r in self.rules]
# Construction-specific validators
class ConstructionValidators:
"""Pre-built validators for construction data."""
@staticmethod
def wbs_validator() -> ValidationRulesBuilder:
"""Validator for WBS codes."""
return (ValidationRulesBuilder()
.add_required_rule("wbs_required", "wbs_code")
.use_pattern("wbs_format", "wbs_code", "wbs_code", "Invalid WBS format (expected: XX.XX.XX)")
)
@staticmethod
def cost_item_validator() -> ValidationRulesBuilder:
"""Validator for cost items."""
return (ValidationRulesBuilder()
.add_required_rule("code_required", "cost_code")
.add_required_rule("desc_required", "description")
.use_pattern("code_format", "cost_code", "cost_code")
.add_range_rule("quantity_positive", "quantity", min_value=0)
.add_range_rule("unit_cost_positive", "unit_cost", min_value=0)
.add_enum_rule("unit_valid", "unit", ["EA", "LF", "SF", "CY", "TON", "HR", "LS"])
)
@staticmethod
def schedule_activity_validator() -> ValidationRulesBuilder:
"""Validator for schedule activities."""
def dates_valid(record):
start = record.get('start_date')
end = record.get('end_date')
if start and end:
return start <= end
return True
return (ValidationRulesBuilder()
.add_required_rule("id_required", "activity_id")
.add_required_rule("name_required", "activity_name")
.use_pattern("id_format", "activity_id", "activity_id")
.add_range_rule("duration_positive", "duration", min_value=0)
.add_range_rule("progress_range", "percent_complete", min_value=0, max_value=100)
)
@staticmethod
def bim_element_validator() -> ValidationRulesBuilder:
"""Validator for BIM elements."""
return (ValidationRulesBuilder()
.add_required_rule("guid_required", "element_guid")
.add_required_rule("type_required", "element_type")
.add_required_rule("level_required", "level")
.use_pattern("level_format", "level", "level_name", severity=Severity.WARNING)
.add_enum_rule("status_valid", "status",
["New", "Existing", "Demolished", "Temporary"])
)
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 423 lines · 30 tokens per session scan A 29dbae70dc03
validation-rules-builder is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (374 stars, last pushed 8d ago), licensed MIT. It adds 30 tokens to every session and 3,123 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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