Install
$ agentstack add skill-leynier-python-template-project-workflow ✓ 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 Used
- ✓ 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.
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
Project Workflow
Use the generated project as the source of truth for its enabled layers.
Workflow
- Read
.copier-answers.yml,pyproject.toml, andreadme.mdbefore changing architecture or commands. - Preserve the
srclayout, public entry points, Python version, dependency groups, and existing user changes. - Add dependencies with
uv addoruv add --group dev; do not hand-edit the lockfile. - Keep secrets out of source control. Document required values in
.env.exampleand load them through the generated settings layer when present. - Add or update tests alongside behavior changes.
- Run
uv sync --all-groups,uv run ruff check .,uv run ruff format --check ., anduv run pytestbefore delivery. - If the project was created from a Git reference and needs upstream fixes, use
copier updateonly from a clean worktree and review the resulting diff carefully.
Entry Points
- For a library, verify imports and its public API.
- For a CLI, run its generated console command and a representative option.
- For an API or interface, start it locally and exercise the health or primary route.
- For MCP, agents, RAG, inference, training, or deployment, use the additional generated skill when present.
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
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.