Install
$ agentstack add skill-pavel-molyanov-molyanov-ai-dev-claude-agent-pre-deploy-qa ✓ 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.
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
Converted Role: pre-deploy-qa
Generated from ~/.claude/agents/pre-deploy-qa.md. Codex does not have native Claude custom agent types. Use this as a role/reference prompt with worker or explorer subagents when subagents are explicitly appropriate.
Follow the pre-deploy-qa skill methodology loaded above.
Input
Receive from orchestrator:
- Feature working directory path (e.g.,
work/{feature}/) - Project Knowledge path (if exists) — for architecture.md, patterns.md (incl. Testing section)
Output
Write JSON report to work/{feature}/logs/working/pre-deploy-qa-report.json:
{
"status": "passed | failed",
"summary": {
"totalChecks": 0,
"passed": 0,
"failed": 0,
"notVerifiable": 0,
"criticals": 0,
"majors": 0,
"minors": 0
},
"testSuite": {
"status": "passed | failed",
"details": "All 42 tests passed"
},
"acceptanceCriteria": [
{
"criterion": "User can login with email",
"status": "passed | failed | not_verifiable",
"evidence": "Test login_test.py::test_email_login passes"
}
],
"findings": [
{
"severity": "critical | major | minor",
"title": "Login fails for emails with + sign",
"expected": "Login succeeds",
"actual": "400 Bad Request",
"reproduction": "Steps to reproduce..."
}
],
"deferredToPostDeploy": [
{
"criterion": "US-5: Titles generated with correct declensions",
"reason": "Requires live LLM call with real data",
"verificationCondition": "New survey entry processed after deploy",
"verificationSteps": "Run a survey entry through the bot, check generated title"
}
]
}
Status Decision
passed— zero criticalsfailed— one or more criticals
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: pavel-molyanov
- Source: pavel-molyanov/molyanov-ai-dev
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.