Ansible Infrastructure Automation
RightNow-AI/openfang
Guidance for writing idempotent Ansible playbooks, roles and inventories, with patterns for handlers, rolling deployments, Vault secrets and error handling.
Make Django deployment changes test-driven across Docker, production settings, Gunicorn, WhiteNoise/static files, environment variables, Ansible/server setup, staging smoke tests, and release checks.
Install Django Deployment Test Loop
$ npx skills add hashgraph-online/awesome-codex-plugins --skill django-deployment-test-loop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins django-deployment-test-loop --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-deployment-test-loop .claude/skills/django-deployment-test-loop && rm -rf skills-srcUse ~/.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/
Install the "django-deployment-test-loop" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/django-deployment-test-loop into .claude/skills/django-deployment-test-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "django-deployment-test-loop", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/django-deployment-test-loopType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill django-deployment-test-loop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins django-deployment-test-loop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/django-deployment-test-loop .agents/skills/django-deployment-test-loop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "django-deployment-test-loop" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/django-deployment-test-loop into .agents/skills/django-deployment-test-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "django-deployment-test-loop", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill django-deployment-test-loop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins django-deployment-test-loop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/django-deployment-test-loop .cursor/skills/django-deployment-test-loop && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "django-deployment-test-loop" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/django-deployment-test-loop into .cursor/skills/django-deployment-test-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "django-deployment-test-loop", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hashgraph-online/awesome-codex-plugins.git --path plugins/LVTD-LLC/skills/skills/django-deployment-test-loop--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill django-deployment-test-loop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins django-deployment-test-loop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/django-deployment-test-loop .gemini/skills/django-deployment-test-loop && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "django-deployment-test-loop" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/django-deployment-test-loop into .gemini/skills/django-deployment-test-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "django-deployment-test-loop", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hashgraph-online/awesome-codex-plugins django-deployment-test-loopInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hashgraph-online/awesome-codex-plugins --skill django-deployment-test-loop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/django-deployment-test-loop .github/skills/django-deployment-test-loop && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "django-deployment-test-loop" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/django-deployment-test-loop into .github/skills/django-deployment-test-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "django-deployment-test-loop", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill django-deployment-test-loop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins django-deployment-test-loop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/django-deployment-test-loop .opencode/skills/django-deployment-test-loop && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "django-deployment-test-loop" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/django-deployment-test-loop into .opencode/skills/django-deployment-test-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "django-deployment-test-loop", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
django-deployment-test-loop- GitHub stars
- 1.2k
- Token cost
- ~851 tokens
- SKILL.md length
- 371 words
- Files
- 4 (incl. references)
- Skills in repo
- 736
- Repo updated
- First seen
- Licence
- MIT
At a glance
Make Django deployment changes test-driven across Docker, production settings, Gunicorn, WhiteNoise/static files, environment variables, Ansible/server setup, staging smoke tests, and release checks.
- Works in 4 steps: Name the deployment risk. → Choose the smallest production-like check. → Make configuration explicit. → …
- Containerizing Django
- SKILL.md covers Source Traceability, Workflow, Decision Rules and Guardrails, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Django Deployment Test Loop is an agent skill from hashgraph-online/awesome-codex-plugins. Make Django deployment changes test-driven across Docker, production settings, Gunicorn, WhiteNoise/static files, environment variables, Ansible/server setup, staging smoke tests, and release checks. Use when containerizing Django, preparing production config, debugging staging, automating deploys, or deciding what deployment behavior functional tests should verify.
Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `evals/evals.json` and `references/deployment-patterns.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.
It sits in DevOps & Cloud, covering Backend development, Deployment and QA and bug reports. It works with Django, Docker and Ansible. 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
- Containerizing Django
- Preparing production config
- Debugging staging
- Automating deploys
Example prompts
- “/django-deployment-test-loop”
Requirements
- Docker
- Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Name the deployment risk.
- Choose the smallest production-like check.
- Make configuration explicit.
- Verify the deployed surface.
What it can do on your machine
Read from SKILL.md and the folder at commit 16b4156. 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 Deployment Test Loop loads about 851 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 371 words of instructions outside code blocks.
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 16b4156, republished under its MIT licence (© hashgraph-online). 371 words, ~851 tokens.
Download SKILL.mdSave it as
.claude/skills/django-deployment-test-loop/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- django-deployment-test-loop
- description
- Make Django deployment changes test-driven across Docker, production settings, Gunicorn, WhiteNoise/static files, environment variables, Ansible/server setup, staging smoke tests, and release checks. Use when containerizing Django, preparing production config, debugging staging, automating deploys, or deciding what deployment behavior functional tests should verify.
- compatibility
- Codex, Claude Code, and other Agent Skills-compatible clients.
- license
- MIT
- metadata.version
- 0.1.0
- metadata.displayName
- Django Deployment Test Loop
- metadata.category
- Django
- metadata.tags
- django,tdd,deployment,docker,ansible
Django Deployment Test Loop
Use this skill when deployment work should be proven by running the app in an environment closer to production. The goal is not to test Docker or Ansible for their own sake; it is to catch integration failures that ordinary dev-server tests miss.
Source Traceability
Primary source: Harry Percival, Test-Driven Development with Python, 3rd ed. Guidance is transformed and paraphrased from chapters 9-12, 18, 23, and Appendix A, especially Docker checks, production settings, static files, environment variables, Ansible deployment, staging functional tests, and server debugging.
Workflow
Name the deployment risk.
- Static files, production settings, database path, permissions, secrets, migrations, logging, email, hostnames, or container networking.
Choose the smallest production-like check.
- Docker build/run smoke test.
- Functional test against the container.
- Staging functional test after deploy.
- Server log or management-command check when browser tests are not the right proof.
Make configuration explicit.
- Use environment variables for production differences.
- Keep secrets out of images and source.
- Fail fast for missing required settings.
Verify the deployed surface.
- Run migrations in the deployed environment.
- Check static collection/serving when
DEBUG=False. - Check host allow-list and database write location.
- Inspect logs for errors rather than relying only on HTTP status.
Read deployment-patterns.md for container, staging, and debugging patterns.
Show full SKILL.md (163 more words)Show less
Decision Rules
- If a failure only appears with
DEBUG=False, reproduce with production-like settings locally first. - If the problem involves filesystem permissions or mounted volumes, verify inside the running container.
- If the problem involves server config, run a staging smoke test before production.
- If a test needs real server data setup, use a safe management command or explicit fixture path, never ad hoc production mutations.
- If the deployment step is manual twice, consider codifying it in Ansible or the existing deployment tool.
Guardrails
- Do not bake secrets or mutable database files into container images.
- Do not rely on local SQLite behavior as proof of deployed persistence.
- Do not run test setup commands against production unless the command is designed and guarded for that environment.
- Do not treat a successful image build as proof the app works.
Verification
Before finishing, record:
- Risk being tested.
- Local Docker or staging command used.
- Migration/static/env/log evidence.
- Browser or HTTP smoke result.
- Rollback or cleanup note when deployment state changed.
© 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 3 other files (references) in plugins/LVTD-LLC/skills/skills/django-deployment-test-loop of hashgraph-online/awesome-codex-plugins.
- SKILL.md
- agents/openai.yaml
- evals/evals.json
- references/deployment-patterns.md
Open the folder on GitHubat commit 16b4156
Compare with similar skills
Django Deployment Test Loop 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Django Deployment Test Loop this skillhashgraph-online/awesome-codex-plugins | 1.2k | — | ~851 | Automated safety check: Pass | MIT | |
| Ansible Infrastructure AutomationRightNow-AI/openfang | 18k | — | ~730 | Automated safety check: Pass | Apache-2.0 | |
| AI ServerOpentrons/opentrons | 521 | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | |
| Monstermq Broker Configvogler75/monster-mq | 142 | — | ~2.2k | Automated safety check: Pass | GPL-3.0 | |
| Deployclacky-ai/openclacky | 1.2k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 259 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence |
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Categories
Questions about Django Deployment Test Loop
What does Django Deployment Test Loop do?
Make Django deployment changes test-driven across Docker, production settings, Gunicorn, WhiteNoise/static files, environment variables, Ansible/server setup, staging smoke tests, and release checks. Django Deployment Test Loop is an agent skill from hashgraph-online/awesome-codex-plugins. Make Django deployment changes test-driven across Docker, production settings, Gunicorn, WhiteNoise/static files, environment variables, Ansible/server setup, staging smoke tests, and release checks.
When should I use Django Deployment Test Loop?
Django Deployment Test Loop fits situations like: containerizing Django; preparing production config; debugging staging; automating deploys.
How do I install Django Deployment Test Loop in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill django-deployment-test-loop -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/django-deployment-test-loop in hashgraph-online/awesome-codex-plugins) into .claude/skills/django-deployment-test-loop in your project. Claude Code loads it when a task matches its description.
How do I install Django Deployment Test Loop in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill django-deployment-test-loop -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/django-deployment-test-loop in hashgraph-online/awesome-codex-plugins) into .agents/skills/django-deployment-test-loop in your project. Codex loads it when a task matches its description.
Can I use Django Deployment Test Loop 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-deployment-test-loop -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-deployment-test-loop, .gemini/skills/django-deployment-test-loop, .github/skills/django-deployment-test-loop and .opencode/skills/django-deployment-test-loop in your project.
What does Django Deployment Test Loop need to run?
SKILL.md names no scripts, command-line tools or credentials: Django Deployment Test Loop is instructions for the agent only. Our summary lists: Docker. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..
Does Django Deployment Test Loop 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 Deployment Test Loop 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 Deployment Test Loop use?
Django Deployment Test Loop 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 Deployment Test Loop use?
About 851 tokens (SKILL.md is roughly 3.4k 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 486 tokens, read only when the agent opens those files.
What are the alternatives to Django Deployment Test Loop?
Skills that share tags, products or a category with Django Deployment Test Loop: Ansible Infrastructure Automation (RightNow-AI/openfang, 18k stars), AI Server (Opentrons/opentrons, 521 stars), Monstermq Broker Config (vogler75/monster-mq, 142 stars) and Deploy (clacky-ai/openclacky, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Django Deployment Test Loop?
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 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.