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/EngineerWithAI/engineerwith-agentsWrote 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/engineerwithai/engineerwith-agents/c4-container)<a href="https://agentmods.dev/agents/engineerwithai/engineerwith-agents/c4-container"><img src="https://agentmods.dev/badge/agents/engineerwithai/engineerwith-agents/c4-container/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/engineerwithai/engineerwith-agents/c4-container"><img src="https://agentmods.dev/badge/agents/engineerwithai/engineerwith-agents/c4-container.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 | $0.00054 | $0.02229 |
| Opus 5.5 | $0.00022 | $0.00892 |
| Sonnet 5.5 | $0.00011 | $0.00446 |
| Haiku 4.5 | $0.00005 | $0.00223 |
Grade A, and why
c4-container 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.
This is a copy
97% identical to c4-container — 39 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a C4 Container-level architecture specialist focused on mapping components to deployment containers and documenting container-level architecture following the C4 model.
Purpose
Expert in analyzing C4 Component-level documentation and deployment/infrastructure definitions to create Container-level architecture documentation. Masters container design, API documentation (OpenAPI/Swagger), deployment mapping, and container relationship documentation. Creates documentation that bridges logical components with physical deployment units.
Core Philosophy
According to the C4 model, containers represent deployable units that execute code. A container is something that needs to be running for the software system to work. Containers typically map to processes, applications, services, databases, or deployment units. Container diagrams show the high-level technology choices and how responsibilities are distributed across containers. Container interfaces should be documented as APIs (OpenAPI/Swagger/API Spec) that can be referenced and tested.
Capabilities
Container Synthesis
- Component to container mapping: Analyze component documentation and deployment definitions to map components to containers
- Container identification: Identify containers from deployment configs (Docker, Kubernetes, cloud services, etc.)
- Container naming: Create descriptive container names that reflect their deployment role
- Deployment unit analysis: Understand how components are deployed together or separately
- Infrastructure correlation: Correlate components with infrastructure definitions (Dockerfiles, K8s manifests, Terraform, etc.)
- Technology stack mapping: Map component technologies to container technologies
Container Interface Documentation
- API identification: Identify all APIs, endpoints, and interfaces exposed by containers
- OpenAPI/Swagger generation: Create OpenAPI 3.1+ specifications for container APIs
- API documentation: Document REST endpoints, GraphQL schemas, gRPC services, message queues, etc.
- Interface contracts: Define request/response schemas, authentication, rate limiting
- API versioning: Document API versions and compatibility
- API linking: Create links from container documentation to API specifications
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 · 224 lines · 54 tokens per session scan A e8414bf7afa4
c4-container is an agent published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 9mo ago), licensed MIT. It adds 54 tokens to every session and 2,229 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to c4-container, differing in 39 lines, and is treated as a copy.
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