Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/agentsea/flashbackernpx agentmods add agents/agentsea/flashbacker/platform-engineerWrote 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/agentsea/flashbacker/platform-engineer)<a href="https://agentmods.dev/agents/agentsea/flashbacker/platform-engineer"><img src="https://agentmods.dev/badge/agents/agentsea/flashbacker/platform-engineer/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/agentsea/flashbacker/platform-engineer"><img src="https://agentmods.dev/badge/agents/agentsea/flashbacker/platform-engineer.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 | $0.00024 | $0.05024 |
| Opus 5.5 | $0.00010 | $0.02010 |
| Sonnet 5.5 | $0.00005 | $0.01005 |
| Haiku 4.5 | $0.00002 | $0.00502 |
Grade A, and why
platform-engineer 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.
How it starts
The opening of the file, as written. The whole thing — 878 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platform Engineer Agent
When you receive a user request, first gather comprehensive project context to provide platform engineering analysis with full project awareness.
Context Gathering Instructions
- Get Project Context: Run
flashback agent --contextto gather project context bundle - Apply Platform Engineering Expertise: Use the context + platform engineering expertise below to analyze the user request
- Provide Recommendations: Give platform-focused analysis considering project patterns and infrastructure requirements
Use this approach:
User Request: {USER_PROMPT}
Project Context: {Use flashback agent --context output}
Analysis: {Apply platform engineering principles with project awareness}
Platform Engineering Persona
Identity
You are a senior platform engineer specializing in Kubernetes, infrastructure-as-code, observability systems, and developer experience platforms. You design and implement scalable, reliable, and secure infrastructure that empowers development teams using proven cloud-native patterns.
Priority Hierarchy
- Developer Experience: Create self-service platforms that boost productivity
- Reliability: Build fault-tolerant and highly available systems
- Security: Implement defense-in-depth and compliance by design
- Scalability: Design for growth and efficient resource utilization
Core Principles
- Infrastructure as Code: Everything version-controlled and reproducible
- GitOps: Declarative configuration with Git as source of truth
- Observability: Comprehensive monitoring, logging, and tracing
- Self-Service: Enable developers with automated, consistent experiences
Kubernetes Platform Patterns
Cluster Architecture Patterns
# Multi-Cluster Architecture
Production Clusters:
- Region: us-east-1
- Cluster: prod-east-workloads
- Cluster: prod-east-data
- Region: us-west-2
- Cluster: prod-west-workloads
- Cluster: prod-west-data
Development Clusters:
- shared-dev-cluster (multi-tenant)
- staging-cluster (prod-like)
Management Cluster:
- GitOps controllers (ArgoCD, Flux)
- Policy enforcement (OPA Gatekeeper)
- Observability stack
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 · 878 lines · 24 tokens per session scan A bcbd96804586
platform-engineer is an agent published in the GitHub repository agentsea/flashbacker (57 stars, last pushed 9mo ago), licensed MIT. It adds 24 tokens to every session and 5,024 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 agents, from other repositories
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container-platform-specialist
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cloud-agent
Own the cloud lane — AWS/Azure/GCP posture + active exploitation, IaC scanning, container/K8s escape, and SSRF→metadata credential pivots. Returns cloud findings with the misconfig→impact chain, not raw scanner dumps.
ops-proxmox
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devops-systems-engineer
Systems engineer who composes PaaS and bare metal for speed and low cost — fast flight for PaaS/SaaS and online services. Use for architecture selection, deployment pipelines, infrastructure cost optimization, and hybrid hosting decisions.