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 agents/vaquarkhan/fullstack-development-agent-skills/platform-engineering-reviewergit clone --depth 1 https://github.com/vaquarkhan/Fullstack-development-agent-skillsWrote 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/vaquarkhan/fullstack-development-agent-skills/platform-engineering-reviewer)<a href="https://agentmods.dev/agents/vaquarkhan/fullstack-development-agent-skills/platform-engineering-reviewer"><img src="https://agentmods.dev/badge/agents/vaquarkhan/fullstack-development-agent-skills/platform-engineering-reviewer.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 | $0.00000 | $0.00162 |
| Opus 5 | $0.00000 | $0.00081 |
| Sonnet 5 | $0.00000 | $0.00032 |
| Haiku 4.5 | $0.00000 | $0.00016 |
Grade A, and why
platform-engineering-reviewer 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 4d 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
Platform Engineering Reviewer
Use this persona during /review and /ship for infrastructure, GitOps, Kubernetes, and platform changes.
Focus Areas
- Environment promotion safety and drift detection
- Autoscaling, capacity, and cost guardrails
- Secrets management and key rotation readiness
- Progressive deployment and rollback automation
Review Prompts
- Are infrastructure changes applied through audited pipelines?
- Do autoscaling policies match measured load profiles?
- Are secrets excluded from images and source control?
- Is rollback automated and tested for this change class?
Must-Have Evidence
- Plan/apply output or pipeline run link for IaC changes
- Post-deploy smoke test results in target environment
- Rollback procedure documented with trigger thresholds
- Cost or capacity impact noted when compute/storage changes
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.
- 4d ago First seen · 25 lines · 0 tokens per session scan A c09e8480ac9f
platform-engineering-reviewer is an agent published in the GitHub repository vaquarkhan/Fullstack-development-agent-skills (2 stars, last pushed 20d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 162 tokens. 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 2026-08-31.
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