Awesome DevOps is a curated directory of platforms, tools, practices, and learning resources for DevOps, the combination of development and operations methods used to deliver and run software. It helps organizations and site reliability engineering teams find resources for building, improving, and operating software delivery practices.
Borrowing it
Nothing to install: this file belongs to wmariuss/awesome-devops. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/wmariuss/awesome-devops/main/.github/instructions/workflows.instructions.mdgit clone --depth 1 https://github.com/wmariuss/awesome-devopsWrote 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.
[](https://agentmods.dev/instructions/wmariuss/awesome-devops/workflows)<a href="https://agentmods.dev/instructions/wmariuss/awesome-devops/workflows"><img src="https://agentmods.dev/badge/instructions/wmariuss/awesome-devops/workflows/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.
<a href="https://agentmods.dev/instructions/wmariuss/awesome-devops/workflows"><img src="https://agentmods.dev/badge/instructions/wmariuss/awesome-devops/workflows.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00153 | $0.00153 |
| Opus 5.5 | $0.00061 | $0.00061 |
| Sonnet 5.5 | $0.00031 | $0.00031 |
| Haiku 4.5 | $0.00015 | $0.00015 |
Grade A, and why
awesome-devops workflows.instructions.md 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 24d 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.
What it actually says
Reviewing GitHub Actions workflows
- Workflows triggered by
pull_request_targetrun with secrets. They must not check out, install or run code from the pull request head. Reading files from the pull request withgit showor the API as data is fine. - Never interpolate untrusted input (
github.event.pull_request.title,.body, branch names, issue text) directly intorun:scripts. Pass it throughenv:and quote it. - Set the smallest
permissions:each workflow needs. - Pin third-party actions to a major version at least; prefer actions from GitHub or verified publishers.
- Secrets must only be passed to the steps that need them.
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.
- 24d ago First seen · 12 lines · 153 tokens per session scan A d5b1f56e0547
awesome-devops workflows.instructions.md is an instructions file published in the GitHub repository wmariuss/awesome-devops (4,441 stars, last pushed yesterday), licensed CC0-1.0. It adds 153 tokens to every session, about $0.0006 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 2026-10-05.
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