Validate Python Stack
Validate the Python Template repository or a project generated from it. Use before committing, publishing, deploying, or reviewing a stack to check catalog compilation, rendering, dependencies, formatting, tests, security workflows, skills, and representative runtime behavior.
Install
$ agentstack add skill-leynier-python-template-validate-python-stack ✓ 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 No
- ✓ 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-leynier-python-template-validate-python-stack) 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
Validate Python Stack
Choose the validation path that matches the current directory and report exact failures without hiding skipped checks.
Template Repository
- Run
uv sync --all-groups. - Run
uv run python scripts/compile_catalog.py --check. - Run
uv run ruff check .anduv run ruff format --check .. - Run
uv run pytest -n auto. Use focused tests first while iterating, but finish with the full suite. - For every directory under
skills/, run the skill-creator validator when available and runnpx --yes skills add . --listto verify discovery. - Generate the changed presets or custom combinations and exercise their real CLI, API, MCP, training, serving, or deployment entry point as applicable.
- If GitHub workflows changed and Docker is available, run the repository's local Actions validation before pushing.
Generated Project
- Read
.copier-answers.yml,readme.md, andpyproject.tomlto identify enabled layers. - Run
uv sync --all-groups,uv run ruff check .,uv run ruff format --check ., anduv run pytest. - Run
npx --yes skills add . --list; expectproject-workflowand only the conditional skills appropriate to the selected stack. - Exercise the primary entry point. For a containerized target, build the Docker image and verify its health route locally when Docker is available.
- Validate generated JSON, TOML, YAML, Python, and HCL as structured data rather than with string-only assertions.
Reporting
Separate passed, failed, and unavailable checks. Include the command, relevant error, and whether the failure belongs to the template, the generated project, local infrastructure, or an external service.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: leynier
- Source: leynier/python-template
- License: MIT
- Homepage: https://python-template.leynier.dev
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.