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 skills add hamzaPixl/pixl-ai --skill saas-microservicegit clone --depth 1 https://github.com/hamzaPixl/pixl-aiWrote 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/skills/hamzapixl/pixl-ai/saas-microservice)<a href="https://agentmods.dev/skills/hamzapixl/pixl-ai/saas-microservice"><img src="https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/saas-microservice/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/skills/hamzapixl/pixl-ai/saas-microservice"><img src="https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/saas-microservice.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 | $0.00083 | $0.01164 |
| Opus 5 | $0.00042 | $0.00582 |
| Sonnet 5 | $0.00017 | $0.00233 |
| Haiku 4.5 | $0.00008 | $0.00116 |
Grade A, and why
saas-microservice 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 8d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Orchestrates building a complete SaaS microservice using the studio's saas stack. Scaffolds from the foundation packages and service template, then implements domain logic, API endpoints, tests, and deployment.
Studio Stack
Scaffold from: studio/stacks/saas/ (18 foundation packages + service template)
Suggested Team
- architect — Domain modeling, bounded context mapping, aggregate design
- backend-engineer — Entity implementation, routes, repositories
- qa-engineer — Test writing, review loops
- devops-engineer — Docker, CI/CD, Cloud Run deployment
- security-engineer — RBAC review, security audit
Process
Phase 1: Domain Design
- Run
/ddd-patternDiscovery phase — analyze the domain - Run
/ddd-patternModel phase — entities, aggregates, value objects - Delegate to architect for bounded context review
Phase 2: Scaffold
- Copy
studio/stacks/saas/foundation/packages (use pruning rules for minimal set)- Important: Use
rsync -a --exclude node_modulesinstead ofcp -rto avoid broken symlinks fromnode_modules/.bin
- Important: Use
- Apply
studio/stacks/saas/service-template/with token replacement:SERVICE_NAME,SERVICE_NAME_PASCAL,SERVICE_PORTENTITY_NAME,ENTITY_SLUG,ENTITY_PLURAL,ENTITY_PLURAL_SLUGFOUNDATION_DEPS— the full JSON dependencies block forpackage.json(includes@prisma/client, needed@saas-studio/*packages, andzod). Use the pruning rules inmanifest.yamlto include only required foundation packages.ENTITIES(optional) — comma-separated list of additional entities to scaffold, e.g.Article,Category:Categories,Tag. SupportsName:Pluralsyntax for irregular plurals. The first entity uses the primaryENTITY_*tokens above.
- Post-scaffold: After running
scaffold.sh, writepackage.jsondirectly if theFOUNDATION_DEPStoken needs multi-line content (the tokens file is line-based, so complex JSON should be written as a post-processing step). - Run
bun installand verify clean build
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 89 lines · 83 tokens per session scan A 3a4ad4bbcb3e
saas-microservice is a skill published in the GitHub repository hamzaPixl/pixl-ai (2 stars, last pushed 5mo ago), licensed MIT. It adds 83 tokens to every session and 1,164 once invoked, about $0.0004 per session on Opus 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 2026-09-03.
Other skills, from other repositories
deploy
Elixir/Phoenix deployment patterns — Dockerfile, fly.toml, runtime.exs, mix release, rel/ overlays. Use when configuring Fly.io, Docker, CI/CD, health checks, or production migrations.
bunjs-production
Use when deploying Bun.js to production, containerizing with Docker, setting up AWS ECS/Fargate, implementing Redis caching, hardening security, or configuring CI/CD pipelines. See bunjs for basics, bunjs-architecture for patterns.
data-processing
Process JSON with jq and YAML/TOML with yq. Filter, transform, query structured data efficiently. Triggers on: parse JSON, extract from YAML, query config, Docker Compose, K8s manifests, GitHub Actions workflows, package.json, filter data.
nestjs-monorepo-scaffold
Turborepo + NestJS + Drizzle + BullMQ monorepo scaffolding — project structure, shared types, workspace config, Docker, CI/CD, and new feature bootstrapping.
deployment-patterns
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications. Use when setting up deployment infrastructure or planning releases.
enterprise
Enterprise-grade systems with microservices, Kubernetes, Terraform, and AI Native methodology. For multi-feature initiatives spanning a release timeline, combine with /sprint master-plan (v2.1.13) to group features into a single 8-phase sprint container with shared scope/budget and 4 auto-pause triggers…