Use the OpenConstructionERP validation engine: rule packs (BOQ quality, DIN 276, NRM, GAEB, MasterFormat, DPGF) that check estimates at import time and on demand.

MITAuto-check passed

Install Oce Validation Engine

skills CLI
$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill oce-validation-engine -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction oce-validation-engine --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .claude/skills && cp -r skills-src/6_OpenConstructionERP/oce-validation-engine .claude/skills/oce-validation-engine && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
oce-validation-engine
GitHub stars
344
Token cost
~607 tokens
SKILL.md length
221 words
Files
1
Skills in repo
44
Repo updated
First seen
Licence
MIT

At a glance

Use the OpenConstructionERP validation engine: rule packs (BOQ quality, DIN 276, NRM, GAEB, MasterFormat, DPGF) that check estimates at import time and on demand.

  • Works in 3 steps: Import gate — import_inline_validation… → On demand — /boqs/{id}/validate/ returns… → Continuous — the BOQ quality score…
  • Verifying BOQ correctness
  • SKILL.md covers Philosophy, Built-in rule packs, Writing custom rules and Where validation plugs in, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Oce Validation Engine is an agent skill from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. Use 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.

Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 221 AI skills for construction: BIM analysis, cost estimation, scheduling, document control, and automation with Claude Code. The licence is MIT.

When your agent uses it

  • Verifying BOQ correctness
  • Writing custom validation rules

Example prompts

  • “/oce-validation-engine”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Import gate — import_inline_validation (env) runs packs during upload.
  2. On demand — /boqs/{id}/validate/ returns violations with severity.
  3. Continuous — the BOQ quality score updates live as the editor changes lines.

What it can do on your machine

Read from SKILL.md and the folder at commit ce45bbf. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Oce Validation Engine loads about 607 tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 221 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~607

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction at commit ce45bbf, republished under its MIT licence (© datadrivenconstruction). 221 words, ~607 tokens.

Download SKILL.mdSave it as .claude/skills/oce-validation-engine/SKILL.md (or your agent's skills folder).
name
oce-validation-engine
description
Use 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.

Validation Engine in OpenConstructionERP

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

PackChecks
boq_qualityrequired fields, unit consistency, duplicate codes, quantity sanity
DIN 276cost-group codes valid, hierarchy consistent
NRMelement codes, measurement rules
GAEBX83/X84 structure, item references
MasterFormat / DPGFclassification 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:

python
# 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 = cost per 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

  1. Import gate — import_inline_validation (env) runs packs during upload.
  2. On demand — /boqs/{id}/validate/ returns violations with severity.
  3. Continuous — the BOQ quality score updates live as the editor changes lines.

Best practices

  1. Fail imports on error-severity, warn on warning — never block a user silently.
  2. Keep rule messages actionable: name the row, the expected value, the found value.
  3. Version rule packs with the standards they encode (DIN 276:2018-12, NRM2, …).
  4. Use validation as the QA agent's deterministic backbone (see ai-agent-orchestration).

© datadrivenconstruction, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in 6_OpenConstructionERP/oce-validation-engine of datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.

Open the folder on GitHubat commit ce45bbf

Compare with similar skills

Oce Validation Engine next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Oce Validation Engine compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Oce Validation Engine this skilldatadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction344—~607Automated safety check: PassMIT
Codex Rules Referencecode-yeongyu/oh-my-openagent70k—~269Automated safety check: PassCustom licence
Rules Distillationaffaan-m/ECC274k2 repos~2.3kAutomated safety check: PassMIT
Hookify Rulesaffaan-m/ECC274k—~605Automated safety check: NotesMIT
Rules Distillaffaan-m/ECC274k—~1.5kAutomated safety check: PassMIT
Rules Distillaffaan-m/ECC274k1 repos~1.3kAutomated safety check: PassMIT

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Questions about Oce Validation Engine

What does Oce Validation Engine do?

Use the OpenConstructionERP validation engine: rule packs (BOQ quality, DIN 276, NRM, GAEB, MasterFormat, DPGF) that check estimates at import time and on demand. Oce Validation Engine is an agent skill from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. Use the OpenConstructionERP validation engine: rule packs (BOQ quality, DIN 276, NRM, GAEB, MasterFormat, DPGF) that check estimates at import time and on demand.

When should I use Oce Validation Engine?

Oce Validation Engine fits situations like: verifying BOQ correctness; writing custom validation rules.

How do I install Oce Validation Engine in Claude Code?

Run `npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill oce-validation-engine -a claude-code`. Or copy the skill folder (6_OpenConstructionERP/oce-validation-engine in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction) into .claude/skills/oce-validation-engine in your project. Claude Code loads it when a task matches its description.

How do I install Oce Validation Engine in Codex?

Run `npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill oce-validation-engine -a codex`. Or copy the skill folder (6_OpenConstructionERP/oce-validation-engine in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction) into .agents/skills/oce-validation-engine in your project. Codex loads it when a task matches its description.

Can I use Oce Validation Engine in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill oce-validation-engine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/oce-validation-engine, .gemini/skills/oce-validation-engine, .github/skills/oce-validation-engine and .opencode/skills/oce-validation-engine in your project.

What does Oce Validation Engine need to run?

SKILL.md names no scripts, command-line tools or credentials: Oce Validation Engine is instructions for the agent only. Our summary lists: Python 3.

Does Oce Validation Engine access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Oce Validation Engine safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Oce Validation Engine use?

Oce Validation Engine is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Oce Validation Engine use?

About 607 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Oce Validation Engine?

Skills that share tags, products or a category with Oce Validation Engine: Codex Rules Reference (code-yeongyu/oh-my-openagent, 70k stars), Rules Distillation (affaan-m/ECC, 274k stars), Hookify Rules (affaan-m/ECC, 274k stars) and Rules Distill (affaan-m/ECC, 274k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Oce Validation Engine?

datadrivenconstruction (a GitHub user) maintains it in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction, which has 344 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on August 22, 2026.

Source: datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.