Agent skill

Odoo Data Quality Gate

by erpipe-org in erpipe-org/mcp-odoo

Audit an Odoo database's data quality with evidence before trusting AI answers, importing, or migrating — duplicates, missing required values, orphaned references, format anomalies — and drive…

MITAuto-check passedData & Analytics

Install Odoo Data Quality Gate

skills CLI
$ npx skills add erpipe-org/mcp-odoo --skill odoo-data-quality-gate -a claude-code

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

GitHub CLI
$ gh skill install erpipe-org/mcp-odoo odoo-data-quality-gate --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/erpipe-org/mcp-odoo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/odoo-data-quality-gate .claude/skills/odoo-data-quality-gate && 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
odoo-data-quality-gate
GitHub stars
420
Token cost
~765 tokens
SKILL.md length
334 words
Files
1
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

Audit an Odoo database's data quality with evidence before trusting AI answers, importing, or migrating — duplicates, missing required values, orphaned references, format anomalies — and drive…

  • Works in 7 steps: Scope with the human. Which models… → Run the report per model:… → Read summary.checks_with_issues and show… → …
  • The user asks to check data quality
  • SKILL.md covers Prerequisites, Playbook, Output format and Hard rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Odoo Data Quality Gate is an agent skill from erpipe-org/mcp-odoo. Audit an Odoo database's data quality with evidence before trusting AI answers, importing, or migrating — duplicates, missing required values, orphaned references, format anomalies — and drive remediation through odoo-mcp's gated write workflow. Use when the user asks to "check data quality", "clean up data", "prepare for migration", "find duplicates", or when aggregate answers look suspicious.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering Data cleaning and MCP servers. It works with Odoo and Model Context Protocol. The repository describes itself as: Odoo MCP for AI agents — gated writes, multi-instance. Hosted product: https://erpipe.com. The licence is MIT.

When your agent uses it

  • The user asks to check data quality
  • Prepare for migration
  • Find duplicates
  • Aggregate answers look suspicious

Example prompts

  • “s gated write workflow. Use when the user asks to”
  • “clean up data”
  • “prepare for migration”
  • “/odoo-data-quality-gate”

Workflow steps

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

  1. Scope with the human. Which models matter? Default set for a general
  2. Run the report per model: data_quality_report(model=...). On large
  3. Read summary.checks_with_issues and show evidence. Every finding
  4. Verify orphans before judging. orphaned_references cannot tell a
  5. Propose remediation as batches, not actions. Group fixes (merge
  6. Execute only through the gate, one approved batch at a time
  7. Re-run the report after remediation and show the before/after issue

What it can do on your machine

Read from SKILL.md and the folder at commit 76ec136. 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.

    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

Odoo Data Quality Gate loads about 765 tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 334 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~105
When it runs · the whole SKILL.md, loaded when a task matches
~765

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 erpipe-org/mcp-odoo at commit 76ec136, republished under its MIT licence (© erpipe-org). 334 words, ~765 tokens.

Download SKILL.mdSave it as .claude/skills/odoo-data-quality-gate/SKILL.md (or your agent's skills folder).
name
odoo-data-quality-gate
description
Audit an Odoo database's data quality with evidence before trusting AI answers, importing, or migrating — duplicates, missing required values, orphaned references, format anomalies — and drive remediation through odoo-mcp's gated write workflow. Use when the user asks to "check data quality", "clean up data", "prepare for migration", "find duplicates", or when aggregate answers look suspicious.

Odoo data-quality gate

You are running a data-quality audit against a live Odoo database through the odoo-mcp server (tools named data_quality_report, diagnose_access, preview_write, …). Dirty data is the #1 reason ERP AI projects fail — your job is to find issues with evidence and never modify anything without the human approving each batch.

Prerequisites

  • odoo-mcp connected (any Odoo 16+; check with health_check).
  • Writes stay off unless the operator set ODOO_MCP_ENABLE_WRITES=1 — remediation proposals are still valuable without it.

Playbook

  1. Scope with the human. Which models matter? Default set for a general audit: res.partner, product.template, account.move. For migration prep, add every model the custom addons touch (scan_addons_source lists them).
  2. Run the report per model: data_quality_report(model=...). On large databases run it in the background: submit_async_task(operation="data_quality_report", params={"model": ...}) then poll get_async_task.
  3. Read summary.checks_with_issues and show evidence. Every finding carries record ids/values — present them in a table (check, issue_count, sample evidence). Never summarize away the ids; the human needs them.
  4. Verify orphans before judging. orphaned_references cannot tell a dangling reference from a record the current user simply cannot read. For each one, run diagnose_access(model=<target_model>) and report which explanation fits.
  5. Propose remediation as batches, not actions. Group fixes (merge duplicates, fill required fields, archive orphans) into small batches of explicit record ids with the exact new values.
  6. Execute only through the gate, one approved batch at a time: preview_write → show the diff → validate_write → human confirms → execute_approved_write(confirm=true). Never call execute_method for writes; it is blocked by design.
  7. Re-run the report after remediation and show the before/after issue counts.

Output format

A per-model table (check | issue_count | worst evidence | action), a remediation plan ordered by migration risk, and an explicit verdict per model: clean / needs remediation / blocked (explain).

Hard rules

  • Read-only by default; every write needs a fresh approval token and the human's explicit confirmation for that batch.
  • Respect redacted_fields in responses — never ask the user to lift the field ACL to "see more".
  • If a check errored (summary.checks_errored), say so — do not present a partial audit as complete.

© erpipe-org, 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 skills/odoo-data-quality-gate of erpipe-org/mcp-odoo.

Open the folder on GitHubat commit 76ec136

Compare with similar skills

Odoo Data Quality Gate 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.

Odoo Data Quality Gate compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Odoo Data Quality Gate this skillerpipe-org/mcp-odoo420—~765Automated safety check: PassMIT
Openbb Data Fetchermonarchjuno/vibe-investing299—~2.9kAutomated safety check: NotesMIT
Diagnosekbanc85/claudia296—~1.8kAutomated safety check: PassCustom licence
Bloodhound AnalysisSpecterOps/skills702—~1.4kAutomated safety check: PassMIT
Monte Carlo Remediationsickn33/agentic-awesome-skills47k1 repos~4kAutomated safety check: PassApache-2.0
Querying Indonesian Gov Datasuryast/indonesia-gov-apis172—~997Automated safety check: PassMIT

Similar skills

  • Openbb Data Fetcher

    monarchjuno/vibe-investing

    Fetch financial, market, economic, fundamental, news, options, crypto, ETF, index, and macro data through the OpenBB Python interface instead of the OpenBB MCP server.

    299 GitHub stars~2.9k tokensUpdated 5 mo ago
    Data & AnalyticsAuto-check: notes
  • Diagnose

    kbanc85/claudia

    Check memory system health and troubleshoot connectivity issues.

    296 GitHub stars~1.8k tokensUpdated 1 mo ago
    Data & AnalyticsAuto-check passed
  • Bloodhound Analysis

    SpecterOps/skills

    Use as the default router for generic BloodHound asks: check the BloodHound connection, verify MCP health, analyze BloodHound data, find or explain a path, inspect shortest paths, find a path to…

    702 GitHub stars~1.4k tokensUpdated 15 days ago
    Data & AnalyticsAuto-check passed
  • Monte Carlo Remediation

    sickn33/agentic-awesome-skills

    Investigate and remediate data quality alerts using Monte Carlo MCP tools.

    47k GitHub starsUsed in 1 repo~4k tokens
    DevelopmentAuto-check passed
  • Querying Indonesian Gov Data

    suryast/indonesia-gov-apis

    Query 57 Indonesian government APIs and data sources — BPJPH halal certification, BPOM food safety, OJK financial legality, BPS statistics, BMKG weather/earthquakes, Bank Indonesia exchange rates…

    172 GitHub stars~997 tokensUpdated yesterday
    Data & AnalyticsAuto-check passed
  • Investigate Data

    walkthru-earth/geocoding-playground

    Investigates geocoder data quality issues by querying live S3 parquet files via MotherDuck MCP.

    153 GitHub stars~935 tokensUpdated 3 mo ago
    Data & AnalyticsAuto-check passed

More from erpipe-org/mcp-odoo

  • Odoo Agency Fleet Review

    erpipe-org/mcp-odoo

    Review many client Odoo databases at once through odoo-mcp's cross-instance tools — fleet-wide accounting health, per-client aging, partial-failure triage — for agencies and partners managing 5–50…

    420 GitHub stars~699 tokensUpdated 1 mo ago
    Auto-check passed
  • Odoo Migration Copilot

    erpipe-org/mcp-odoo

    Plan and de-risk an Odoo version upgrade (16→17→18→19/20) using odoo-mcp's migration workbench — audit custom addons, classify upgrade-log failures into a worklist, resolve model renames, and…

    420 GitHub stars~770 tokensUpdated 1 mo ago
    Auto-check passed
  • Odoo Month End Close

    erpipe-org/mcp-odoo

    Drive a month-end accounting close on Odoo through odoo-mcp — AR/AP aging, open-item and draft-invoice review, reconciliation checklists, and chatter documentation — with human sign-off at every…

    420 GitHub stars~753 tokensUpdated 1 mo ago
    Auto-check passed

Questions about Odoo Data Quality Gate

What does Odoo Data Quality Gate do?

Audit an Odoo database's data quality with evidence before trusting AI answers, importing, or migrating — duplicates, missing required values, orphaned references, format anomalies — and drive…. Odoo Data Quality Gate is an agent skill from erpipe-org/mcp-odoo. Audit an Odoo database's data quality with evidence before trusting AI answers, importing, or migrating — duplicates, missing required values, orphaned references, format anomalies — and drive remediation through odoo-mcp's gated write workflow.

When should I use Odoo Data Quality Gate?

Odoo Data Quality Gate fits situations like: the user asks to check data quality; prepare for migration; find duplicates; aggregate answers look suspicious.

How do I install Odoo Data Quality Gate in Claude Code?

Run `npx skills add erpipe-org/mcp-odoo --skill odoo-data-quality-gate -a claude-code`. Or copy the skill folder (skills/odoo-data-quality-gate in erpipe-org/mcp-odoo) into .claude/skills/odoo-data-quality-gate in your project. Claude Code loads it when a task matches its description.

How do I install Odoo Data Quality Gate in Codex?

Run `npx skills add erpipe-org/mcp-odoo --skill odoo-data-quality-gate -a codex`. Or copy the skill folder (skills/odoo-data-quality-gate in erpipe-org/mcp-odoo) into .agents/skills/odoo-data-quality-gate in your project. Codex loads it when a task matches its description.

Can I use Odoo Data Quality Gate 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 erpipe-org/mcp-odoo --skill odoo-data-quality-gate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/odoo-data-quality-gate, .gemini/skills/odoo-data-quality-gate, .github/skills/odoo-data-quality-gate and .opencode/skills/odoo-data-quality-gate in your project.

What does Odoo Data Quality Gate need to run?

SKILL.md names no scripts, command-line tools or credentials: Odoo Data Quality Gate is instructions for the agent only.

Does Odoo Data Quality Gate 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 Odoo Data Quality Gate 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 Odoo Data Quality Gate use?

Odoo Data Quality Gate 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 Odoo Data Quality Gate use?

About 765 tokens (SKILL.md is roughly 3.1k 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 Odoo Data Quality Gate?

Skills that share tags, products or a category with Odoo Data Quality Gate: Openbb Data Fetcher (monarchjuno/vibe-investing, 299 stars), Diagnose (kbanc85/claudia, 296 stars), Bloodhound Analysis (SpecterOps/skills, 702 stars) and Monte Carlo Remediation (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Odoo Data Quality Gate?

erpipe-org (a GitHub organization) maintains it in erpipe-org/mcp-odoo, which has 420 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on August 25, 2026.

Source: erpipe-org/mcp-odoo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.