Validation Engine in OpenConstructionERP
SkillDev toolsUse the OpenConstructionERP validation engine: rule packs (BOQ quality, DIN 276, NRM, GAEB, MasterFormat, DPGF) that check estimates at import time and on demand. Use when verifying BOQ correctness or writing custom validation rules.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Validation Engine in OpenConstructionERP skill
What this skill tells your AI
The instructions your AI receives, as published by datadrivenconstruction/ddc_skills_for_ai_agents_in_construction in 6_OpenConstructionERP/oce-validation-engine/SKILL.md and read by ahel’s review.
Philosophy
"Validation is a first-class citizen." Every BOQ import (Excel/CSV/GAEB X83/X84) runs the configured rule packs at import time, so violations surface immediately — not when a user is staring at row 452.
Built-in rule packs
| Pack | Checks |
|---|---|
boq_quality | required fields, unit consistency, duplicate codes, quantity sanity |
| DIN 276 | cost-group codes valid, hierarchy consistent |
| NRM | element codes, measurement rules |
| GAEB | X83/X84 structure, item references |
| MasterFormat / DPGF | classification codes |
Configure the default set via OE_DEFAULT_VALIDATION_RULE_SETS (default ["boq_quality"]); run on demand with POST /api/v1/boqs/{id}/validate/.
Writing custom rules
A rule is: condition + severity + message. Example patterns:
# pseudo-rule: labour share sanity on a BOQ line
def rule_labour_share(line):
labour = line.components_labour_cost
total = line.rate
if total > 0 and labour / total > 0.95:
return {"severity": "warning",
"message": f"Line {line.code}: labour is {labour/total:.0%} of rate"}
Reconciliation rules (the ones that actually catch data problems):
qty × unit_price = costper component line (tolerance ±0.01 or rounding-aware).Σ components = total_resource_cost_per_position(markup applied on top).- classification non-empty at every tree level.
- no negative quantities outside documented deduction lines.
Where validation plugs in
- Import gate —
import_inline_validation(env) runs packs during upload. - On demand —
/boqs/{id}/validate/returns violations with severity. - Continuous — the BOQ quality score updates live as the editor changes lines.
Best practices
- Fail imports on
error-severity, warn onwarning— never block a user silently. - Keep rule messages actionable: name the row, the expected value, the found value.
- Version rule packs with the standards they encode (DIN 276:2018-12, NRM2, …).
- Use validation as the QA agent's deterministic backbone (see
ai-agent-orchestration).
Signals
- GitHub stars
- 313
- Forks
- 79
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
oce-validation-engine- Source
- github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction