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SKILL verified MIT Self-run

Project Workflow

skill-leynier-python-template-project-workflow · by leynier

Develop, test, and maintain this generated Python project using its recorded Copier choices and uv toolchain. Use for any code, dependency, configuration, documentation, or test change in this project, including simple libraries, CLIs, APIs, and layered AI or ML applications.

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Install

$ agentstack add skill-leynier-python-template-project-workflow

✓ 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 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.

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-leynier-python-template-project-workflow)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3d 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

Project Workflow

Use the generated project as the source of truth for its enabled layers.

Workflow

  1. Read .copier-answers.yml, pyproject.toml, and readme.md before changing architecture or commands.
  2. Preserve the src layout, public entry points, Python version, dependency groups, and existing user changes.
  3. Add dependencies with uv add or uv add --group dev; do not hand-edit the lockfile.
  4. Keep secrets out of source control. Document required values in .env.example and load them through the generated settings layer when present.
  5. Add or update tests alongside behavior changes.
  6. Run uv sync --all-groups, uv run ruff check ., uv run ruff format --check ., and uv run pytest before delivery.
  7. If the project was created from a Git reference and needs upstream fixes, use copier update only 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.

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.