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Agent skill

Django Test Data

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Design faster, clearer Django test data and test structure with factories, setUpTestData, SimpleTestCase/TestCase choices, fixture-file cleanup, query optimization, and unit-vs-integration boundaries.

MITAuto-check passedBackend & APIs

Install Django Test Data

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill django-test-data -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins django-test-data --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/django-test-data .claude/skills/django-test-data && 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
django-test-data
GitHub stars
1.2k
Token cost
~958 tokens
SKILL.md length
432 words
Files
2 (incl. references)
Skills in repo
686
Repo updated
First seen
Licence
MIT

At a glance

Design faster, clearer Django test data and test structure with factories, setUpTestData, SimpleTestCase/TestCase choices, fixture-file cleanup, query optimization, and unit-vs-integration boundaries.

  • Works in 6 steps: Map the behavior under test. → Choose the fastest test base class. → Remove broad fixture data. → …
  • Django tests create too much data
  • SKILL.md covers Refactoring Workflow, Decision Rules, Common Mistakes and Verification
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Django Test Data is an agent skill from hashgraph-online/awesome-codex-plugins. Design faster, clearer Django test data and test structure with factories, setUpTestData, SimpleTestCase/TestCase choices, fixture-file cleanup, query optimization, and unit-vs-integration boundaries. Use when Django tests create too much data, rely on slow fixtures, overuse TransactionTestCase, duplicate setup, or need refactoring for speed without losing coverage.

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/patterns.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

It sits in Backend & APIs, covering Backend development, Test data and fixtures and Refactoring. It works with Django. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Django tests create too much data
  • Rely on slow fixtures
  • Overuse TransactionTestCase
  • Duplicate setup

Example prompts

  • “/django-test-data”

Requirements

  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

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

  1. Map the behavior under test.
  2. Choose the fastest test base class.
  3. Remove broad fixture data.
  4. Use factories deliberately.
  5. Share class-level data with setUpTestData.
  6. Optimize database access in test setup and assertions.

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. 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.

  • Compatibility

    Codex, Claude Code, and other Agent Skills-compatible clients.

    From compatibility in the SKILL.md frontmatter.

Context cost

Django Test Data loads about 958 tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 96 tokens; SKILL.md has 432 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~958
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

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 hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its MIT licence (© hashgraph-online). 432 words, ~958 tokens.

Download SKILL.mdSave it as .claude/skills/django-test-data/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
django-test-data
description
Design faster, clearer Django test data and test structure with factories, setUpTestData, SimpleTestCase/TestCase choices, fixture-file cleanup, query optimization, and unit-vs-integration boundaries. Use when Django tests create too much data, rely on slow fixtures, overuse TransactionTestCase, duplicate setup, or need refactoring for speed without losing coverage.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
Django Test Data
metadata.category
Django
metadata.tags
django,testing,test-data,factories,pytest

Django Test Data

Most slow Django suites spend time building data they do not need or exercising full request/database paths for behavior that can be tested at a smaller boundary. Use this skill to reduce setup cost while keeping representative integration coverage.

Refactoring Workflow

  1. Map the behavior under test.

    • Identify the smallest useful boundary: function, form, model method, middleware, command helper, view, or full request path.
    • Keep a few integration tests for wiring; move detailed cases to unit tests where the boundary is clean.

  2. Choose the fastest test base class.

    • SimpleTestCase: no database access.
    • TestCase: ordinary database tests with rollback.
    • TransactionTestCase: committed transaction behavior only.
    • LiveServerTestCase: browser/live-server tests only.

  3. Remove broad fixture data.

    • Avoid large fixture files and base classes that always create objects.
    • Build only the data each test or class needs.

  4. Use factories deliberately.

    • Start with small factory functions when the domain is simple.
    • Use Factory Boy or Model Bakery when relationships and variants become repetitive.

  5. Share class-level data with setUpTestData.

    • Use setUpTestData() for database objects reused by multiple methods in a TestCase.
    • Avoid mutating shared in-memory objects across methods.

  6. Optimize database access in test setup and assertions.

    • Use select_related, prefetch_related, or bulk_create where setup/query cost is the bottleneck.
    • Assert query counts for hot paths when performance is part of the contract.

Read patterns.md for examples and decision details.

Show full SKILL.md (205 more words)Show less

Decision Rules

  • If a test does not need the database, use SimpleTestCase.
  • If only some tests need the database, split them into separate classes.
  • If a test requires committed transaction behavior, first check whether captureOnCommitCallbacks() or an inner atomic() is enough.
  • If many tests share expensive objects, use setUpTestData instead of setUp.
  • If fixture files are hard to understand or grow over time, replace them with factories.
  • If a test depends on hard-coded auto-increment IDs, fix the assertion rather than enabling reset_sequences=True.
  • Combine assertions when they describe one behavior produced by one expensive action.

Common Mistakes

  • Testing form validation only through rendered HTML instead of inspecting form errors directly.
  • Leaving management-command business logic inside handle(), forcing tests through call_command().
  • Using TransactionTestCase as the default.
  • Putting data in a base TestCase that only a few subclasses need.
  • Treating factories as permission to create a large object graph for every test.
  • Mutating objects created by setUpTestData and leaking in-memory state to later tests.

Verification

Before finishing a refactor:

  • The old behavior remains covered at the right level.
  • Database-using and non-database tests are split where useful.
  • Repeated setup moved to setUpTestData or factories only where it reduces cost.
  • Relevant tests pass individually and as part of their module/class.

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

Files

SKILL.md and 1 other file (references) in plugins/LVTD-LLC/skills/skills/django-test-data of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • references/patterns.md

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Django Test Data 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.

Django Test Data compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Django Test Data this skillhashgraph-online/awesome-codex-plugins1.2k—~958Automated safety check: PassMIT
Silk Debugletsrevel/revel-backend109—~1.2kAutomated safety check: PassMIT
Dj Servicesdvf/opinionated-django109—~3kAutomated safety check: NotesMIT
Django Filter Benchmarksaleor/saleor23k—~2.3kAutomated safety check: PassBSD-3-Clause
Dsqlawslabs/agent-plugins915—~6.9kAutomated safety check: PassApache-2.0
Profiling Slow API EndpointsPostHog/posthog40k—~1kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Django Test Data

What does Django Test Data do?

Design faster, clearer Django test data and test structure with factories, setUpTestData, SimpleTestCase/TestCase choices, fixture-file cleanup, query optimization, and unit-vs-integration boundaries. Django Test Data is an agent skill from hashgraph-online/awesome-codex-plugins. Design faster, clearer Django test data and test structure with factories, setUpTestData, SimpleTestCase/TestCase choices, fixture-file cleanup, query optimization, and unit-vs-integration boundaries.

When should I use Django Test Data?

Django Test Data fits situations like: django tests create too much data; rely on slow fixtures; overuse TransactionTestCase; duplicate setup.

How do I install Django Test Data in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill django-test-data -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/django-test-data in hashgraph-online/awesome-codex-plugins) into .claude/skills/django-test-data in your project. Claude Code loads it when a task matches its description.

How do I install Django Test Data in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill django-test-data -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/django-test-data in hashgraph-online/awesome-codex-plugins) into .agents/skills/django-test-data in your project. Codex loads it when a task matches its description.

Can I use Django Test Data 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 hashgraph-online/awesome-codex-plugins --skill django-test-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/django-test-data, .gemini/skills/django-test-data, .github/skills/django-test-data and .opencode/skills/django-test-data in your project.

What does Django Test Data need to run?

SKILL.md names no scripts, command-line tools or credentials: Django Test Data is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Django Test Data 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 Django Test Data 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 Django Test Data use?

Django Test Data is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Django Test Data use?

About 958 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 649 tokens, read only when the agent opens those files.

What are the alternatives to Django Test Data?

Skills that share tags, products or a category with Django Test Data: Silk Debug (letsrevel/revel-backend, 109 stars), Dj Services (dvf/opinionated-django, 109 stars), Django Filter Benchmark (saleor/saleor, 23k stars) and Dsql (awslabs/agent-plugins, 915 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Django Test Data?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.