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 denyszhak/pystack-skills --skill python-aggregate-and-repogit clone --depth 1 https://github.com/denyszhak/pystack-skillsWrote 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/denyszhak/pystack-skills/python-aggregate-and-repo)<a href="https://agentmods.dev/skills/denyszhak/pystack-skills/python-aggregate-and-repo"><img src="https://agentmods.dev/badge/skills/denyszhak/pystack-skills/python-aggregate-and-repo/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/denyszhak/pystack-skills/python-aggregate-and-repo"><img src="https://agentmods.dev/badge/skills/denyszhak/pystack-skills/python-aggregate-and-repo.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 | $0.00176 | $0.03921 |
| Opus 5.5 | $0.00070 | $0.01568 |
| Sonnet 5.5 | $0.00035 | $0.00784 |
| Haiku 4.5 | $0.00018 | $0.00392 |
Grade A, and why
python-aggregate-and-repo 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 — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aggregate and repository pattern
The aggregate is the unit of consistency: a chunk of state that's loaded together, mutated together, and saved together as a single transaction. The repository is the only thing that reads or writes aggregates of its type. Together they're the heart of the data layer.
This skill encodes the SA-model-with-behavior style: the SQLAlchemy ORM model carries the business methods (order.place(), customer.deactivate()), and there's no separate pure-Python "domain" class. For most backend services — especially integration- and orchestration-heavy ones — this is the right trade-off. For invariant-dense systems where you want sub-millisecond invariant tests without a DB, see python-pure-domain-layer.
When to use this skill
- Adding a new aggregate (Order, Customer, Subscription, Document, ...)
- Adding a method on an existing aggregate
- Adding a repo query that a service needs
- Refactoring a "fat router" or "anaemic model" into a proper aggregate
The rules
1. SA model carries behavior; no separate domain class
The SA-mapped class holds the columns, the methods, the derived values, and the domain exceptions in one file. The shape:
# app/models/order.py — shape only; see examples/order_model.py for the full version
class Order(Base):
__tablename__ = "order"
id: Mapped[UUID] = mapped_column(primary_key=True, default=uuid4)
customer_id: Mapped[UUID] = mapped_column(ForeignKey("customer.id"))
status: Mapped[OrderStatus] = mapped_column(default=OrderStatus.DRAFT)
lines: Mapped[list["OrderLine"]] = relationship(
cascade="all, delete-orphan", lazy="selectin",
)
@property
def total(self) -> Decimal: ... # derived value
@classmethod
def new(cls, *, customer_id: UUID, currency: str) -> Self: ... # constructor
def add_line(self, *, product_id: UUID, quantity: int, unit_price: Decimal) -> None:
if self.status is not OrderStatus.DRAFT:
raise OrderAlreadyPlacedException(self.id)
self.lines.append(OrderLine(...)) # mutation guarded by precondition
def place(self) -> None: ... # transition, guarded
def cancel(self, *, reason: str) -> None: ... # idempotent guard
What ships with it
2 files 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.
- yesterday Changed · +76 lines ed9f8dbbf444
- 1mo ago First seen · 253 lines · 176 tokens per session scan A 3f74d01ccbf4
python-aggregate-and-repo is a skill published in the GitHub repository denyszhak/pystack-skills (4 stars, last pushed yesterday), licensed MIT. It adds 176 tokens to every session and 3,921 once invoked, about $0.0007 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 2026-08-31.
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