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/commands/engineerwithai/engineerwith-agents/full-stack-feature)<a href="https://agentmods.dev/commands/engineerwithai/engineerwith-agents/full-stack-feature"><img src="https://agentmods.dev/badge/commands/engineerwithai/engineerwith-agents/full-stack-feature/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/commands/engineerwithai/engineerwith-agents/full-stack-feature"><img src="https://agentmods.dev/badge/commands/engineerwithai/engineerwith-agents/full-stack-feature.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 | $0.00000 | $0.01860 |
| Opus 5.5 | $0.00000 | $0.00744 |
| Sonnet 5.5 | $0.00000 | $0.00372 |
| Haiku 4.5 | $0.00000 | $0.00186 |
Grade A, and why
full-stack-feature 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
100% identical to full-stack-feature — 5 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchestrate full-stack feature development across backend, frontend, and infrastructure layers with modern API-first approach:
[Extended thinking: This workflow coordinates multiple specialized agents to deliver a complete full-stack feature from architecture through deployment. It follows API-first development principles, ensuring contract-driven development where the API specification drives both backend implementation and frontend consumption. Each phase builds upon previous outputs, creating a cohesive system with proper separation of concerns, comprehensive testing, and production-ready deployment. The workflow emphasizes modern practices like component-driven UI development, feature flags, observability, and progressive rollout strategies.]
Phase 1: Architecture & Design Foundation
1. Database Architecture Design
- Use Task tool with subagent_type="database-design::database-architect"
- Prompt: "Design database schema and data models for: $ARGUMENTS. Consider scalability, query patterns, indexing strategy, and data consistency requirements. Include migration strategy if modifying existing schema. Provide both logical and physical data models."
- Expected output: Entity relationship diagrams, table schemas, indexing strategy, migration scripts, data access patterns
- Context: Initial requirements and business domain model
2. Backend Service Architecture
- Use Task tool with subagent_type="backend-development::backend-architect"
- Prompt: "Design backend service architecture for: $ARGUMENTS. Using the database design from previous step, create service boundaries, define API contracts (OpenAPI/GraphQL), design authentication/authorization strategy, and specify inter-service communication patterns. Include resilience patterns (circuit breakers, retries) and caching strategy."
- Expected output: Service architecture diagram, OpenAPI specifications, authentication flows, caching architecture, message queue design (if applicable)
- Context: Database schema from step 1, non-functional requirements
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 · 113 lines · 0 tokens per session scan A fd88c175b90d
full-stack-feature is a command published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,860 tokens. A static security scan graded it A with 0 findings. It is 100% identical to full-stack-feature, differing in 5 lines, and is treated as a copy.
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