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.
npx agentmods add skills/pramoddutta/qaskills/devops-engineer-resume-optimizernpx skills add PramodDutta/qaskills --skill devops-engineer-resume-optimizergit clone --depth 1 https://github.com/PramodDutta/qaskillsWrote 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/skills/pramoddutta/qaskills/devops-engineer-resume-optimizer)<a href="https://agentmods.dev/skills/pramoddutta/qaskills/devops-engineer-resume-optimizer"><img src="https://agentmods.dev/badge/skills/pramoddutta/qaskills/devops-engineer-resume-optimizer.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.01451 |
| Opus 5 | $0.00020 | $0.00726 |
| Sonnet 5 | $0.00008 | $0.00290 |
| Haiku 4.5 | $0.00004 | $0.00145 |
Grade A, and why
DevOps Engineer Resume Optimizer 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 2d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevOps Engineer Resume Optimizer
When to Use This Skill
Use this skill when the user:
- Is a DevOps, platform, SRE, or build engineer writing or updating a resume
- Mentions: "DevOps resume", "SRE resume", "platform engineer CV", "CI/CD resume"
- Is moving from ops/sysadmin or QA into DevOps roles
- Wants pipeline and infrastructure work to read as measurable engineering
Core Capabilities
- Convert pipeline and infra work into scale + reliability + speed bullets
- Structure a stack section recruiters can search (cloud, IaC, containers, observability)
- Quantify from systems the engineer already runs (CI history, incident logs, cloud bills)
- Position on-call and incident work as evidence, not burden
- Handle certification placement (AWS/Azure/K8s) by actual market weight
- Bridge QA-to-DevOps and sysadmin-to-DevOps transitions
The DevOps Resume Failure Mode
DevOps resumes fail by listing technologies instead of outcomes:
- Worked with Jenkins, Docker, Kubernetes, Terraform, AWS
- Managed CI/CD pipelines
- Handled deployments and monitoring
Every DevOps candidate has this list. The differentiator is what the systems did because you built them: deploy frequency, lead time, failure rate, recovery time, cost. These four-plus-one metrics are the shared vocabulary of every platform team (the DORA set plus spend), and a resume speaking it screens itself in.
Bullet Framework: System + Scale + Metric
| Weak | Strong |
|---|---|
| Managed CI/CD pipelines | Owned GitHub Actions CI for 14 services; cut median PR-to-deploy from 55 to 9 minutes with caching, sharding, and selective builds |
| Worked with Terraform | Migrated hand-built AWS infra (60+ resources) to Terraform modules; environment spin-up went from 2 days to 40 minutes |
| Handled monitoring | Built the Prometheus/Grafana stack and SLO dashboards for checkout; paging noise dropped 70% after alert rationalization |
| Did deployments | Introduced blue-green deploys with automated rollback; deploy failures stopped causing customer-visible downtime (0 rollback incidents in 6 months) |
| Kubernetes administration | Ran 3 EKS clusters (200 pods peak); right-sizing and spot strategy cut compute spend 31% |
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.
- 2d ago First seen · 130 lines · 41 tokens per session scan A a4fa85f64157
DevOps Engineer Resume Optimizer is a skill published in the GitHub repository PramodDutta/qaskills (217 stars, last pushed 6d ago), licensed MIT. It adds 41 tokens to every session and 1,451 once invoked, about $0.0002 per session on Opus 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 2026-09-03.
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