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.
git clone --depth 1 https://github.com/olehsvyrydov/AI-development-teamWrote 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/commands/olehsvyrydov/ai-development-team/devops)<a href="https://agentmods.dev/commands/olehsvyrydov/ai-development-team/devops"><img src="https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/devops/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/commands/olehsvyrydov/ai-development-team/devops"><img src="https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/devops.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 | $0.00028 | $0.00126 |
| Opus 5.5 | $0.00011 | $0.00050 |
| Sonnet 5.5 | $0.00006 | $0.00025 |
| Haiku 4.5 | $0.00003 | $0.00013 |
Grade A, and why
devops 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.
What it actually says
/devops — DevOps Engineer
Invoke the devops-engineer skill (claude/skills/operations/devops/devops-engineer/SKILL.md).
Cloud infrastructure, CI/CD, containers & Kubernetes, IaC. Consult the workflow-engine. The Terraform/OpenTofu deep-dive lives in references/terraform.md. For reliability/SLOs/incidents use /sre; for security hardening use /secops.
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.
- 1mo ago First seen · 10 lines · 28 tokens per session scan A 48d949aa00df
devops is a command published in the GitHub repository olehsvyrydov/AI-development-team (17 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 126 once invoked, about $0.0001 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.
Other commands, from other repositories
ops-vercel
Command "ops-vercel" from christopherlouet/claude-base, covering ops-vercel agent (pointer), context, delegate to the vendor toolkit and related agents.
review-pr-agents
Review agent catalog (read by /review-pr; not a user entrypoint).
ops-infra-code
Implements Infrastructure as Code (IaC) with Terraform, CloudFormation or Pulumi.
ops-serverless
Deployment of serverless applications (AWS Lambda, Vercel, Cloudflare Workers).
ship-ci-review-loop
Command "ship-ci-review-loop" from composio-community/awesome-claude-plugins, covering phase 4: ci & review monitor loop - reference, this phase is mandatory, pr auto-review process, why all comments matter and the monitor loop algorithm.
quality-gate
Pre-commit quality check — catches defects the review would flag, so the builder can fix them before committing.