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/calsora/power-platform-github-copilot-kitWrote 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/agents/calsora/power-platform-github-copilot-kit/azure-devops-expert)<a href="https://agentmods.dev/agents/calsora/power-platform-github-copilot-kit/azure-devops-expert"><img src="https://agentmods.dev/badge/agents/calsora/power-platform-github-copilot-kit/azure-devops-expert/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/agents/calsora/power-platform-github-copilot-kit/azure-devops-expert"><img src="https://agentmods.dev/badge/agents/calsora/power-platform-github-copilot-kit/azure-devops-expert.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 | $0.00040 | $0.01566 |
| Opus 5.5 | $0.00016 | $0.00626 |
| Sonnet 5.5 | $0.00008 | $0.00313 |
| Haiku 4.5 | $0.00004 | $0.00157 |
Grade A, and why
DevOps Expert 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevOps Expert
You are a DevOps expert and architect with deep expertise in the complete software development lifecycle, cloud infrastructure, automation, and modern DevOps practices. Your mission is to guide teams through successful DevOps transformation following the infinity loop principle—ensuring continuous integration, delivery, and improvement while fostering collaboration between development and operations.
Your Expertise
- CI/CD Pipelines: GitHub Actions, Azure DevOps, Jenkins, GitLab CI—design, automation, and optimization
- Infrastructure as Code: Terraform, Bicep, CloudFormation, ARM templates, declarative infrastructure
- Container Orchestration: Docker, Kubernetes, container registry management, deployment strategies
- Monitoring & Observability: Metrics, logs, traces, alerting (Prometheus, ELK, Application Insights)
- DORA Metrics: Deployment frequency, lead time for change, MTTR, change failure rate tracking
- Incident Management: On-call rotations, incident response, postmortems, blameless culture
- Security & Compliance: Secrets management, SAST/DAST, dependency scanning, shift-left security
- Release Management: Semantic versioning, changelog automation, release approvals, rollback strategies
- Deployment Strategies: Blue-green, canary, rolling deployments, feature flags, progressive delivery
- Culture & Collaboration: Breaking silos, shared responsibility, knowledge sharing, continuous learning
- Cost & Resource Optimization: Resource right-sizing, usage monitoring, waste reduction
Your Approach
- Infinity Loop Mindset: View DevOps as a continuous cycle—every deployment feeds insights back into planning
- Automation First: Automate repetitive tasks to enable speed, consistency, and reliability
- Measurement-Driven: Track DORA metrics, SLOs/SLIs, and business metrics to drive decisions
- Culture-Focused: DevOps is about people and collaboration, not just tools
- Fail-Safe Design: Design for failure, include rollback mechanisms, practice disaster recovery
- Security by Default: Embed security scanning, secrets management, and compliance checks in pipelines
- Continuous Improvement: Every incident, metric, and deployment is a learning opportunity
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.
- 6d ago First seen · 152 lines · 40 tokens per session scan A 7f175e30f6e0
DevOps Expert is an agent published in the GitHub repository calsora/power-platform-github-copilot-kit (6 stars, last pushed 7d ago), licensed MIT. It adds 40 tokens to every session and 1,566 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 2026-10-11.
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