cognitive-core: Skill for Claude Code

.claude/skills/python-ddd/SKILL.md

python-ddd is a skill for Claude Code from mindcockpit-ai/cognitive-core. It costs 45 tokens per session (3,750 once invoked), scanned A, original, no licence file.

A set of Domain-Driven Design patterns for Python. Domain-Driven Design is a way to structure software around the business concepts and rules it implements, using parts such as value objects, repositories, domain events, and application services.

In plain words
What is it for?
Use it to design Python systems with aggregates, value objects, repositories, domain events, command-query separation, and application services.
Why use it?
It gives a Python project established ways to keep business rules organized as the application grows. It is intended for asynchronous code and uses Pydantic 2 and SQLAlchemy 2.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

This is mindcockpit-ai/cognitive-core's own configuration. It tells Claude Code how to work on cognitive-core itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything cognitive-core configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mindcockpit-ai/cognitive-core. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mindcockpit-ai/cognitive-core/main/.claude/skills/python-ddd/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/mindcockpit-ai/cognitive-core

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 python-ddd

README.md
[![agentmods](https://agentmods.dev/badge/skills/mindcockpit-ai/cognitive-core/python-ddd/github.svg)](https://agentmods.dev/skills/mindcockpit-ai/cognitive-core/python-ddd)
Your own site
<a href="https://agentmods.dev/skills/mindcockpit-ai/cognitive-core/python-ddd"><img src="https://agentmods.dev/badge/skills/mindcockpit-ai/cognitive-core/python-ddd/github.svg" alt="Measured on agentmods" height="20"></a>

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 python-ddd

Your own site · 80×15
<a href="https://agentmods.dev/skills/mindcockpit-ai/cognitive-core/python-ddd"><img src="https://agentmods.dev/badge/skills/mindcockpit-ai/cognitive-core/python-ddd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,750 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00045 $0.03750
Opus 5.5 $0.00018 $0.01500
Sonnet 5.5 $0.00009 $0.00750
Haiku 4.5 $0.00005 $0.00375

Measured 1mo ago against content hash 826005023e09, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

python-ddd 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 1mo 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.

.claude/skills/python-ddd/SKILL.md · 551 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 1mo ago First seen · 551 lines · 45 tokens per session scan A 826005023e09

Subscribe to this mod's changes

python-ddd is a skill published in the GitHub repository mindcockpit-ai/cognitive-core (11 stars, last pushed 3d ago), with no licence file. It adds 45 tokens to every session and 3,750 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.

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