Python Pro
Use when writing Python 3.12+ — typed application code, async programming, CLI tools (cyclopts, rich), or pandas data manipulation.
Install
$ agentstack add skill-yassimba-loom-python-pro ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ● Filesystem access Used
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-yassimba-loom-python-pro) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Python Pro
Type-safe, async-first, production-ready Python 3.12+: application code, CLI tools, and pandas data work.
References
Load the matching reference when your task touches its area — each holds the rules and gotchas for that branch, only what the defaults get wrong.
| Reference | Load When | | ---------------------------- | ----------------------------------------------------- | | references/type-system.md | Generics, Protocol, type aliases, exhaustiveness | | references/cli.md | Building or extending a CLI | | references/pandas-gotchas.md | Any DataFrame work — cleaning, groupby, merge, perf |
Packaging and tooling have dedicated skills: use uv for projects/dependencies, ty for type checking, ruff for lint/format.
Rules — General Python
- Type hints on every function signature and class attribute;
X | NoneoverOptional[X]; PEP 695 generics (type X = ...,class C[T]:,def f[T]:). - Dataclasses over hand-written
__init__; context managers for resource handling;pathliboveros.path. async/awaitfor I/O-bound work; route blocking calls throughasyncio.to_thread.- Catch specific exception types.
- Keep default arguments immutable — a
Nonesentinel for mutable defaults. - Google-style docstrings on public APIs.
House opinions
- Guard clauses over nesting: validate and return/raise early at the top of the function; the happy path reads straight down at one indent level. An
elseafter a guard is a smell. TaskGroupover baregatherfor structured concurrency;asyncio.timeout()overwait_for.- Parametrize over copy-paste tests; property-based (hypothesis) where the invariant is crisper than examples.
The green gate
Ship the implementation and its pytest suite together. The work is green when all three pass:
uv run ty check # zero errors
uv run ruff check --fix && uv run ruff format
uv run pytest --cov # >90% coverageFinish only on green.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Yassimba
- Source: Yassimba/loom
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.