Python Deploy
Deploy a Python project to the target environment. Runs pytest, builds the wheel, and pushes a deployment tag. Only invoke manually when ready to deploy.
Install
$ agentstack add skill-davila7-claude-with-skills-01-deploy-skill ✓ 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-davila7-claude-with-skills-01-deploy-skill) 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
Pre-flight checks
!git status --short
!git log --oneline -5
Deploy to: $ARGUMENTS
If $ARGUMENTS is empty, stop immediately. Report: "No environment specified. Invoke as: /python-deploy (e.g., /python-deploy staging or /python-deploy production)."
Step 1: Abort if there are uncommitted changes
Check the git status output above. If it shows any lines (modified, untracked, staged, or deleted files), stop here.
Report: "Deploy aborted: there are uncommitted changes. Commit or stash them before deploying to $ARGUMENTS."
A clean working tree shows no output from git status --short. Do not proceed unless the output is empty.
Step 2: Run the test suite
Run:
python -m pytestIf any tests fail, report the failing test names and count, then stop. Do not proceed.
If pytest is not installed, try:
python -m unittest discoverIf neither is available, report that no test runner was found and stop. Do not deploy without running tests.
Step 3: Build the distribution package
Run:
python -m buildThis requires the build package. If it is not installed, run:
pip install buildThen retry python -m build.
If the build fails, report the error output and stop.
On success, confirm the output: the dist/ directory should contain a .whl and a .tar.gz file.
Step 4: Create a deployment tag
Construct the tag name:
deploy-$ARGUMENTS--Use current UTC date and time. Example: deploy-staging-20260513-143207.
Run:
git tag deploy-$ARGUMENTS--Step 5: Push the tag
Run:
git push origin deploy-$ARGUMENTS--If the push fails, report the error and stop.
Step 6: Report success
Print a final summary:
Deploy initiated.
Environment: $ARGUMENTS
Tag: deploy-$ARGUMENTS--
Time:
Build artifacts: dist/Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: davila7
- Source: davila7/claude-with-skills
- License: MIT
- Homepage: https://claude-with-skills.vercel.app
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.