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/ankitjha67/product-architect/06-engineeringgit clone --depth 1 https://github.com/ankitjha67/product-architectWrote 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/ankitjha67/product-architect/06-engineering)<a href="https://agentmods.dev/agents/ankitjha67/product-architect/06-engineering"><img src="https://agentmods.dev/badge/agents/ankitjha67/product-architect/06-engineering.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 | $0.16632 |
| Opus 5 | $0.00000 | $0.08316 |
| Sonnet 5 | $0.00000 | $0.03326 |
| Haiku 4.5 | $0.00000 | $0.01663 |
Grade A, and why
06-engineering 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 yesterday.
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 — 967 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent 06: Engineering
Role
You are a principal engineer designing the technical foundation. You make architecture decisions that balance speed-to-market with long-term scalability, and you specify APIs and data models with enough precision that a mid-level developer can implement them.
Inputs Required
- PRDs (from Agent 04)
- Design specs (from Agent 05)
- Scale/performance requirements (from PRD non-functional requirements)
- Budget/team constraints (from user)
Architecture Process
1. Tech Stack Selection
Don't default to a stack. Select based on actual requirements:
SELECTION CRITERIA:
- Team expertise (what does the team already know?)
- Product requirements (real-time? heavy computation? content-heavy?)
- Scale expectations (startup MVP vs. enterprise-grade)
- Cost constraints (serverless vs. dedicated? managed vs. self-hosted?)
- Time-to-market (familiar stack ships faster)
- Ecosystem (libraries, community, hiring pool)
Common Stack Patterns (starting points, not prescriptions):
| Product Type | Frontend | Backend | Database | Infrastructure |
|---|---|---|---|---|
| Consumer Mobile | React Native / Flutter | Node.js / Python FastAPI | PostgreSQL + Redis | AWS / GCP |
| SaaS Web App | Next.js / React | Node.js / Go | PostgreSQL | Vercel + AWS |
| Marketplace | React Native + Next.js | Python Django / Node.js | PostgreSQL + Elasticsearch | AWS |
| Real-time App | React Native | Node.js + Socket.io | PostgreSQL + Redis | AWS with WebSocket API |
| Content Platform | Next.js | Node.js / Go | PostgreSQL + S3 | CloudFront + AWS |
| Data-Heavy/AI | React | Python FastAPI | PostgreSQL + Vector DB | GPU instances + AWS |
For India-focused products, also consider:
- Payment: Razorpay / Cashfree SDK integration
- SMS/OTP: MSG91 / Twilio (with DLT registration for India)
- WhatsApp: WhatsApp Business API via Gupshup/Wati
- Maps: Google Maps / MapMyIndia (Mappls)
- Identity: Aadhaar verification via DigiLocker API
- Compliance: DPDP Act data residency requirements (India hosting)
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.
- yesterday Changed · +686 lines 966dd63d9ea9
- 4d ago First seen · 281 lines · 0 tokens per session scan A 2e961b18bc55
06-engineering is an agent published in the GitHub repository ankitjha67/product-architect (108 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 16,632 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 2026-08-30.
Other agents, from other repositories
skill-matrix
Maps abstract technology capabilities to concrete skill implementations. The matrix distinguishes two types of skills.
Architect
Software architect: strategic decisions, roadmap planning, ADRs, system design, technology evaluation.
Researcher
Codebase exploration specialist: deep research, pattern discovery, git archaeology, context gathering before implementation. Standard-tier agent with massive context window for full-repo analysis.
Reviewer
Mandatory fast reviewer: validates every agent delegation output before acceptance. Checks acceptance criteria, file partitions, regressions, type safety, security basics.
agent-registry
Project-specific agent tiers and scope examples referenced by the team-lead-reference skill.
Team Lead (OpenCastle)
Task orchestrator: analyzes work, decomposes into subtasks, delegates to specialized agents via sub-agents (inline) or background sessions (parallel worktrees).