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 rules/syntaxarc/archipy-plugin/using-archipy-logicsgit clone --depth 1 https://github.com/SyntaxArc/archipy-pluginWhat 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 | $0.00399 |
| Opus 5 | $0.00000 | $0.00199 |
| Sonnet 5 | $0.00000 | $0.00080 |
| Haiku 4.5 | $0.00000 | $0.00040 |
Grade A, and why
using-archipy-logics 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.
What it actually says
Using ArchiPy Logics
Logic classes are pure business rules and the unit-of-work boundary.
Live: https://syntaxarc.github.io/ArchiPy/getting-started/concepts/
Responsibilities
- Accept domain DTOs as input; return domain DTOs as output.
- Framework-agnostic — no FastAPI / gRPC imports.
- Depend on repositories / ports via DI — do not construct adapters.
Unit of Work
When using Postgres SQLAlchemy, decorate public methods:
from archipy.helpers.decorators.sqlalchemy_atomic import postgres_sqlalchemy_atomic_decorator
class UserRegistrationLogic:
@postgres_sqlalchemy_atomic_decorator
def register_user(self, input_dto: UserRegistrationInputDTO) -> UserRegistrationOutputDTO:
...
- Async stack:
async_postgres_sqlalchemy_atomic_decorator. - Nested atomic-decorator calls reuse the open session — logics may call other logics.
Domain Isolation
✅ OrderCreationLogic → UserQueryLogic → UserRepository
❌ OrderCreationLogic → UserRepository (bypasses domain boundary)
- May call other domain logics.
- Never import or call a repository from another domain.
Errors
- Raise domain errors for rule violations (
BusinessRuleViolationError,AlreadyExistsError, …). - Infrastructure failures should already be domain errors from the adapter boundary; re-raise with
raise ... from ewhen wrapping.
Do Not
- Put HTTP status mapping or router code here (that belongs in
services/). - Skip
*_sqlalchemy_atomic_decoratoron write/read paths that need a SQLAlchemy session when SQLAlchemy is in use. - Construct Redis/DB clients inside logic classes.
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 First seen · 55 lines · 399 tokens per session scan A db1d27bffaad
using-archipy-logics is a cursor rule published in the GitHub repository SyntaxArc/archipy-plugin (2 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 399 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 2026-08-31.
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