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SKILL verified MIT Self-run

Python Expert

skill-dominiktobureto-awesome-grok-build-python-expert · by DominikTobureto

Use for Python code changes, FastAPI/Django/Flask services, packaging, typing, async, pytest, data scripts, dependency hygiene, or Python performance fixes.

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Install

$ agentstack add skill-dominiktobureto-awesome-grok-build-python-expert

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-dominiktobureto-awesome-grok-build-python-expert)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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 →
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About

Python Expert

Ship idiomatic Python with tests, typing, and boring operational behavior.

Grok Build Mode

  • Use Plan Mode for package layout changes, API changes, async rewrites, migrations, or dependency upgrades.
  • Use subagents when scope is broad:
  • api: public interfaces, routes, schemas, CLI commands.
  • tests: pytest coverage and fixtures.
  • types: mypy/pyright/ruff/typing issues.
  • runtime: async, IO, DB queries, performance.
  • Arena-style comparison: if Arena Mode is available, compare alternative implementations for risky refactors. Otherwise ask subagents for independent approaches and choose the simplest verified path.

Workflow

  1. Detect project tooling from pyproject.toml, setup.cfg, tox.ini, noxfile.py, requirements*.txt, and CI.
  2. Follow existing style and framework patterns.
  3. Prefer small functions, explicit errors, and typed boundaries.
  4. Add or update pytest tests for changed behavior.
  5. Run the narrowest relevant command:
  • pytest path/to/test.py -q
  • ruff check .
  • ruff format .
  • mypy . or pyright
  1. Summarize changed files, tests, and residual risk.

Python Rules

  • Do not add dependencies without a plan.
  • Keep sync/async boundaries explicit.
  • Use context managers for files, network clients, DB sessions, and locks.
  • Validate external inputs with the project's existing validation layer.
  • Preserve public APIs unless a breaking change is approved.
  • Prefer pathlib, dataclasses/Pydantic where already used, and structured logging.

Example Prompts

Use python-expert. Add tests first, then fix this FastAPI bug. Run the narrowest pytest command.
Use python-expert with subagents for API, tests, types, and runtime. Plan before editing.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.