using-cortex-skills

A guide for finding and using engineering skills for Cortex Framework V7 data products. Cortex Framework is a system for building data products through defined development tasks.

In plain words
What is it for?
Use it to discover skills for configuring, creating, updating, validating, testing, building, deploying, or diagramming Cortex data products.
Why use it?
It helps select the relevant workflow instead of manually deciding which skill to use for setup, creation, changes, testing, diagrams, or deployment.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/googlecloudplatform/cortex-framework/using_cortex_skills
Any agent
npx skills add GoogleCloudPlatform/cortex-framework --skill using_cortex_skills
Clone the repo
git clone --depth 1 https://github.com/GoogleCloudPlatform/cortex-framework

Made for: Claude Code, Codex.

Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,245 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00034 $0.01245
Opus 5 $0.00017 $0.00622
Sonnet 5 $0.00007 $0.00249
Haiku 4.5 $0.00003 $0.00125

Measured 2d ago against content hash daf28b497696, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

using-cortex-skills 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 2d 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.

.agents/skills/using_cortex_skills/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Using Cortex Skills

Overview

Cortex External Agent Skills is a collection of engineering workflow skills designed specifically for configuring, building, validating, and deploying data products in Cortex Framework V7. This meta-skill helps you discover and apply the right skill for your current task.

Skill Discovery

When a task arrives, identify the development phase and apply the corresponding skill:

Task arrives
    │
    ├── Asked to setup/configure/validate environment config? ──→ setup-cortex-config
    │
    ├── Asked to create or scaffold a data product? ────────────→ create-data-product
    │
    ├── Asked to update or change an existing data product? ────→ update-data-product
    │
    ├── Asked to validate/test/audit a data product? ───────────→ validate-data-product
    │
    ├── Asked to write/generate python unit tests? ─────────────→ create-python-tests
    │
    ├── Asked to compile/build/deploy/ship a data product? ─────→ build-and-deploy-data-product
    │
    ├── Asked to generate ER diagrams or data model graphs? ────→ generate-er-diagram
    │
    ├── Asked to create/scaffold a new skill or custom rules? ─→ create-skill
    │
    └── Asked to align/review model against business rules? ────→ data-modeling-standards

Core Operating Behaviors

These behaviors apply at all times, across all skills. They are non-negotiable.

1. Surface Assumptions

Before implementing any changes, explicitly state your assumptions:

ASSUMPTIONS I'M MAKING:
1. [assumption about requirements]
2. [assumption about data foundation / tables]
3. [assumption about target environment / configuration]
→ Correct me now or I'll proceed with these.

Don't silently fill in ambiguous requirements. Surface uncertainty early — it's cheaper than rework.

2. Manage Confusion Actively

When you encounter inconsistencies, conflicting requirements, or unclear specifications:

  1. STOP. Do not proceed with a guess.
  2. Name the specific confusion.
  3. Present the tradeoff or ask the clarifying question.
  4. Wait for resolution before continuing.

Read the full file on GitHub · 89 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. 2d ago First seen · 89 lines · 34 tokens per session scan A daf28b497696

Subscribe to this mod's changes

using-cortex-skills is a skill published in the GitHub repository GoogleCloudPlatform/cortex-framework (10 stars, last pushed 6d ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,245 once invoked, about $0.0002 per session on Opus 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 2026-08-31.

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