verify-with-oql

verify-with-oql is a skill for Claude Code from mendixlabs/mxcli. It costs 48 tokens per session (1,714 once invoked), scanned A, original, Apache-2.0.

A guide to checking Mendix app data with OQL, a query language used to read information from a running app's database.

In plain words
What is it for?
Use it after deploying changes, triggering a microflow, or combining browser tests with database checks.
Why use it?
It confirms that an action actually created, changed, or deleted the expected data instead of relying only on what the interface shows.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it after deploying changes, triggering a microflow, or combining browser tests with database checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mendixlabs/mxcli/verify-with-oql
Install

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.

Any agent
npx skills add mendixlabs/mxcli --skill verify-with-oql
Clone the repo
git clone --depth 1 https://github.com/mendixlabs/mxcli

Made for: Claude Code.

Wrote 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.

agentmods badge for verify-with-oql

README.md
[![agentmods](https://agentmods.dev/badge/skills/mendixlabs/mxcli/verify-with-oql/github.svg)](https://agentmods.dev/skills/mendixlabs/mxcli/verify-with-oql)
Your own site
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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.

agentmods 80×15 button for verify-with-oql

Your own site · 80×15
<a href="https://agentmods.dev/skills/mendixlabs/mxcli/verify-with-oql"><img src="https://agentmods.dev/badge/skills/mendixlabs/mxcli/verify-with-oql.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,714 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
SkillSpector: 2 findings, up to low

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • low Tool Misuse · line 29
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • low Tool Misuse · line 157
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.01714
Opus 5 $0.00024 $0.00857
Sonnet 5 $0.00010 $0.00343
Haiku 4.5 $0.00005 $0.00171

Measured 7d ago against content hash 933d52575f98, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

verify-with-oql scanned grade A with 2 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 7d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- [/runtime-admin-api](../runtime-admin-api/SKILL.md) — Admin API details and curl examples

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

import { execSync } from 'child_process';
.claude/skills/mendix/verify-with-oql/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verify with OQL Skill

This skill documents how to verify microflow side effects and data changes using OQL queries against a running Mendix app.

When to Use This Skill

Use this when:

  • You've deployed changes and want to verify data was created/updated/deleted correctly
  • You need to confirm a microflow produced the expected side effects
  • You're combining Playwright UI tests with backend data verification
  • You want a fast feedback loop: deploy, trigger, verify

The Pattern

The core verification workflow is:

  1. Deploy — apply MDL changes and rebuild
  2. Trigger — execute the action (via UI, microflow call, or API)
  3. Verify — query the database with OQL to confirm the result
# 1. Deploy
mxcli exec changes.mdl -p app.mpr
mxcli docker build -p app.mpr --skip-check
mxcli docker reload -p app.mpr   # or: mxcli docker up -p app.mpr --fresh --wait

# 2. Trigger (example: call a microflow that creates test data)
# This could be via Playwright, a rest call, or manual interaction

# 3. Verify
mxcli oql -p app.mpr "select Name, Email from MyModule.Customer where Name = 'Jane Doe'"

OQL Verification Examples

Check data was created

# Verify a customer was created
mxcli oql -p app.mpr "select Name, Email from Sales.Customer where Name = 'Test Customer'"

# count records
mxcli oql -p app.mpr "select count(*) as Total from Sales.Order"

Check data was updated

# Verify status was changed
mxcli oql -p app.mpr "select OrderNumber, status from Sales.Order where OrderNumber = 'ORD-001'"

Check data was deleted

# Verify record no longer exists (should return empty)
mxcli oql -p app.mpr "select count(*) as Total from Sales.Customer where Name = 'Deleted Customer'"

Check associations

# Verify an association was set (join query)
mxcli oql -p app.mpr \
  "select o.OrderNumber, c.Name from Sales.Order o join o/Sales.Order_Customer/Sales.Customer c where o.OrderNumber = 'ORD-001'"

Read the full file on GitHub · 195 lines

Changes

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.

  1. 7d ago First seen · 195 lines · 48 tokens per session scan A 933d52575f98

Subscribe to this mod's changes

verify-with-oql is a skill published in the GitHub repository mendixlabs/mxcli (119 stars, last pushed 2d ago), licensed Apache-2.0. It adds 48 tokens to every session and 1,714 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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