Full-Stack AI Agent Template generates full-stack AI applications with a FastAPI backend and Next.js frontend, including agents, retrieval-augmented generation, streaming, authentication, and integrations. It is for building AI products with features such as chat, conversation sharing, administration, and multiple agent or vector-database choices. Catalogue add-ons support the generated applications and their agent workflows.
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/vstorm-co/full-stack-ai-agent-templateWrote 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/vstorm-co/full-stack-ai-agent-template/add-endpoint)<a href="https://agentmods.dev/commands/vstorm-co/full-stack-ai-agent-template/add-endpoint"><img src="https://agentmods.dev/badge/commands/vstorm-co/full-stack-ai-agent-template/add-endpoint/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/vstorm-co/full-stack-ai-agent-template/add-endpoint"><img src="https://agentmods.dev/badge/commands/vstorm-co/full-stack-ai-agent-template/add-endpoint.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 | $0.00009 | $0.00459 |
| Opus 5.5 | $0.00004 | $0.00184 |
| Sonnet 5.5 | $0.00002 | $0.00092 |
| Haiku 4.5 | $0.00001 | $0.00046 |
Grade A, and why
add-endpoint 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.
What it actually says
Create a new API endpoint: $ARGUMENTS
Follow the project's layered architecture. Create files in this order:
-
Schema (
backend/app/schemas/<entity>.py):- Inherit
BaseSchema(andTimestampSchemafor Read) - Create
*Create,*Update,*Read,*Listmodels - Use
Field()with constraints,EmailStrwhere applicable
- Inherit
-
DB Model (
backend/app/db/models/<entity>.py):- Inherit
Base, TimestampMixin - Use
Mapped[type]+mapped_column() - Add
__repr__, relationships withcascade="all, delete-orphan"
- Inherit
-
Repository (
backend/app/repositories/<entity>_repo.py):- Stateless async functions:
get_by_id,get_multi,create,update,delete - Use
db.flush()+db.refresh(), keyword-only args afterdb
- Stateless async functions:
-
Service (
backend/app/services/<entity>.py):- Class with
__init__(self, db: AsyncSession) - Raise
NotFoundError,AlreadyExistsErroras appropriate
- Class with
-
DI (
backend/app/api/deps.py):- Add factory function and
Annotatedalias:EntitySvc = Annotated[EntityService, Depends(get_entity_service)]
- Add factory function and
-
Route (
backend/app/api/routes/v1/<entity>.py):- CRUD: GET list, GET by id, POST (201), PATCH, DELETE (204)
- Use DI aliases,
response_model,-> Anyreturn type
-
Register router in
backend/app/api/routes/v1/__init__.py -
Migration:
cd backend && uv run alembic revision --autogenerate -m "Add <entity> table" -
Test (
backend/tests/): mirror source structure -
Lint:
cd backend && uv run ruff check . --fix && uv run ruff format .
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 · 41 lines · 9 tokens per session scan A a7412c5c3bd6
add-endpoint is a command published in the GitHub repository vstorm-co/full-stack-ai-agent-template (1,954 stars, last pushed today), licensed MIT. It adds 9 tokens to every session and 459 once invoked, about $0.0000 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 commands, from other repositories
init
Annotate all unannotated source files in the project with CodeDNA module headers. Uses your current Claude session — no API key required.
server-action
Generate a Server Action for the following mutation: $ARGUMENTS.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.