# Post Deploy Qa

> |

- **Type:** Skill
- **Install:** `agentstack add skill-pavel-molyanov-molyanov-ai-dev-post-deploy-qa`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [pavel-molyanov](https://agentstack.voostack.com/s/pavel-molyanov)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [pavel-molyanov](https://github.com/pavel-molyanov)
- **Source:** https://github.com/pavel-molyanov/molyanov-ai-dev/tree/main/.codex/skills/post-deploy-qa

## Install

```sh
agentstack add skill-pavel-molyanov-molyanov-ai-dev-post-deploy-qa
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Post-deploy QA

## Input Requirements

Read before starting:
- `user-spec.md` — acceptance criteria
- `tech-spec.md` — Agent Verification Plan (AVP) section + technical acceptance criteria
- `decisions.md` — deviations from plan (if exists)
- Pre-deploy QA report (`logs/working/qa-report.json`) — check `deferredToPostDeploy` section for criteria that could not be verified pre-deploy
- Confirmation that deploy is complete and environment is live

If tech-spec has no AVP section — still proceed with acceptance criteria verification.

## Verification Methodology

Two verification directions (both required):

### 1. Agent Verification Plan (AVP)

Execute each step from AVP section in tech-spec:

1. Read AVP section — it lists verification steps with expected outcomes and MCP tools to use
2. For each step:
   - Use the specified MCP tool (Telegram MCP, Playwright, curl, bash, etc.)
   - Perform the described action on live environment
   - Compare result with expected outcome
   - Record: tool used, step performed, result
3. If MCP tool is unavailable — mark step as `not_verifiable`, continue with remaining steps

**Checkpoint:** All AVP steps executed or marked `not_verifiable`. Proceed to acceptance criteria.

### 2. Acceptance Criteria Verification

Verify all acceptance criteria from user-spec and tech-spec on live environment. This catches criteria that pre-deploy QA could not verify without a live system.

1. Read pre-deploy QA report (`logs/working/qa-report.json`) — check `deferredToPostDeploy` section
2. For each deferred criterion — follow the verification steps specified in the pre-deploy report
3. Also re-check all acceptance criteria from user-spec and tech-spec against live behavior
4. For each criterion:
   - **passed** — verified on live environment, evidence provided
   - **failed** — live behavior does not meet the criterion
   - **blocked** — cannot verify due to external conditions (no data, third-party service down). Provide a concrete manual verification plan for the user: what to check, when, how

A `blocked` criterion requires user follow-up before the feature can count as fully verified.

**Checkpoint:** All acceptance criteria verified, or marked `blocked` with manual verification plan.

## Severity Classification

- **critical** — verification step failed, live functionality broken, data integrity at risk
- **major** — works but with significant issues visible in production
- **minor** — cosmetic, non-functional discrepancies

## Output Format

Return findings as JSON. Reason: orchestrator parses this to decide pass/fail and log findings.

```json
{
  "status": "passed | failed",
  "summary": {
    "totalSteps": 0,
    "passed": 0,
    "failed": 0,
    "blocked": 0,
    "notVerifiable": 0,
    "criticals": 0,
    "majors": 0,
    "minors": 0
  },
  "agentVerification": [
    {
      "step": "Send /start to bot",
      "tool": "telegram_mcp",
      "status": "passed | failed | not_verifiable",
      "details": "Bot responded with welcome message"
    }
  ],
  "acceptanceCriteria": [
    {
      "id": "US-5",
      "criterion": "Titles generated with correct declensions",
      "source": "user-spec | tech-spec | deferred-from-pre-deploy",
      "status": "passed | failed | blocked",
      "evidence": "Checked live output, generated title uses correct declension/grammar",
      "manualVerificationPlan": "Only if blocked — what the user should check, when, how"
    }
  ],
  "findings": [
    {
      "severity": "critical | major | minor",
      "title": "Bot does not respond to /start",
      "expected": "Welcome message within 3 seconds",
      "actual": "No response after 10 seconds",
      "reproduction": "Steps to reproduce..."
    }
  ]
}
```

Status decision: `passed` if zero criticals, `failed` if one or more criticals.

## Guidelines

- Every finding includes concrete reproduction: steps, expected vs actual, tool output.
- If all MCP tools are unavailable — report that automated verification is not possible, suggest manual steps.
- Empty findings array = clean verification.

## Final Check

Before finishing, verify:
- [ ] All AVP steps executed or marked `not_verifiable`
- [ ] All deferred criteria from pre-deploy QA report addressed
- [ ] All acceptance criteria from user-spec and tech-spec verified on live environment
- [ ] Every `blocked` criterion has a manual verification plan (what to check, when, how)
- [ ] Output JSON is valid, status reflects critical count

## 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](https://github.com/pavel-molyanov)
- **Source:** [pavel-molyanov/molyanov-ai-dev](https://github.com/pavel-molyanov/molyanov-ai-dev)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** yes
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-pavel-molyanov-molyanov-ai-dev-post-deploy-qa
- Seller: https://agentstack.voostack.com/s/pavel-molyanov
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
