qa-from-execution

name	qa-from-execution
description	Perform quality assurance on code changes after research-plan-execute workflow. STRICTLY read-only analysis—NO coding, NO fixing, NO execution. Focuses on changed areas only, emphasizing control/data flow correctness.
allowed-tools	Read Bash

QA From Execution

Evaluate code changes for correctness, risks, and quality. This skill performs read-only analysis of implemented work, producing a QA report without modifying code.

CRITICAL BOUNDARIES

Activity	Status
QA Analysis	✅ This skill
Code Changes	❌ NO — Read only
Bug Fixes	❌ NO — Report only
Execution	❌ NO — Analysis only

This skill is STRICTLY for QA evaluation. Do not write code, do not fix issues, do not execute. Analyze, evaluate, and report.

When to Use

Use this skill when:

• Execution from a plan is complete
• Code has been written and needs quality evaluation
• The task is to assess correctness of changes, not modify them
• Pre-merge or post-implementation review is needed

Workflow

Step 1: Load Execution Context

Locate and read the execution document:

• If a path is provided: Read from memory-bank/execution/<path>
• If a topic is provided: Find the latest matching file in memory-bank/execution/

Extract:

• Which files were modified
• Which functions/endpoints were added or changed
• What the acceptance criteria were
• Any issues encountered during execution

Step 2: Identify Changed Areas

From the execution log, build a list of:

• Files modified: Paths to all changed files
• Functions changed: Public functions that were added or modified
• Interfaces changed: API endpoints, CLI commands, public methods
• State changes: Database schema, configuration, shared resources

Focus analysis ONLY on these changed areas. Do not review unchanged code.

Step 3: Apply QA Checklist Per Changed Area

For each changed file/function/endpoint, evaluate:

3.1 Inputs & Preconditions

Check	Question
Validation	Are all inputs validated before use?
Type safety	Are type assumptions explicit and checked?
Null/empty	Are null, undefined, and empty cases handled?
Boundaries	Are min/max values, sizes, and limits enforced?

3.2 Control Flow

Check	Question
Branch coverage	Are all branches reachable? Any dead code?
Fall-through	Are switch/case fall-throughs intentional?
Early returns	Are guard clauses used appropriately?
Loop termination	Do all loops have guaranteed termination?

3.3 Data Flow

Check	Question
Invariants	Are invariants preserved through transformations?
Mutation scope	Is mutation limited to appropriate scope?
Shared state	Is shared state access properly synchronized?
Aliasing	Are aliasing risks (multiple refs to same data) handled?

3.4 State & Transactions

Check	Question
Idempotency	Is the operation safe to retry?
Atomicity	Are multi-step operations atomic?
Rollback	Is there a path to undo partial changes?
Concurrency	Are race conditions handled?

3.5 Error Handling

Check	Question
Specificity	Are exceptions specific (not broad catches)?
Retry logic	Is transient failure handled with backoff?
Dead letter	Are unprocessable items routed to DLQ/log?
Error context	Do errors include sufficient debugging info?

3.6 Contracts

Check	Question
Pre-conditions	Are pre-conditions documented and enforced?
Post-conditions	Are post-conditions guaranteed on success?
Schema drift	Do request/response schemas match implementation?
Versioning	Are breaking changes properly versioned?

3.7 Time & Locale

Check	Question
Timezones	Are datetime operations timezone-aware?
Monotonic time	Is elapsed time measured with monotonic clocks?
DST	Are daylight saving time transitions handled?
Format stability	Are date/time formats consistent and unambiguous?

3.8 Resource Hygiene

Check	Question
File lifecycle	Are files opened/closed properly (with statements)?
Connection pooling	Are connections returned to pools?
Timeouts	Do all blocking operations have timeouts?
Cancellation	Is cancellation propagated through async chains?

3.9 Edge Cases

Check	Question
Empty inputs	Is empty/null input handled gracefully?
Max sizes	Are large inputs bounded (pagination, limits)?
Partial failure	Is partial failure detectable and recoverable?
Resource exhaustion	Are OOM, disk full, quota exceeded handled?

3.10 Public Surface

Check	Question
Backward compat	Are breaking changes intentional and documented?
OpenAPI alignment	Do implementations match OpenAPI/JSON schemas?
Type exports	Are public types exported and documented?
Deprecation	Are deprecated items marked and alternatives provided?

Step 4: Test & Contracts Analysis

For each changed public function/endpoint:

1. Map to test coverage

   • Run: pytest -q or equivalent
   • Run: coverage run -m pytest && coverage report --format=markdown
   • Identify which changed functions have tests

2. Identify missing test cases

   • Error branches: Are failure paths tested?
   • Boundary conditions: Are min/max values tested?
   • Property invariants: Are data guarantees verified?
   • Mutation tests: Would incorrect code fail tests?

3. Contract/API verification

   • Compare OpenAPI/JSON schema to implementation
   • Verify request/response DTOs match spec
   • Check for breaking field/enum changes

Step 5: Secondary Scans (Optional)

Run static analysis tools (read-only, report results):

# Type checking
mypy . --ignore-missing-imports 2>/dev/null || echo "mypy not available"

# Security scan
bandit -r . -q 2>/dev/null || echo "bandit not available"

# Dependency audit
pip-audit 2>/dev/null || npm audit --json 2>/dev/null | jq '.metadata' || echo "audit not available"

Note findings without attempting fixes.

Step 6: Write QA Report

Create memory-bank/QA/YYYY-MM-DD_HH-MM-SS_<topic>_qa.md:

---
title: "<topic> – QA Report"
phase: QA
date: "YYYY-MM-DD HH:MM:SS"
owner: "<agent_or_user>"
parent_execution: "memory-bank/execution/<file>.md"
git_commit_at_qa: "<sha>"
tags: [qa, <topic>]
---

## Summary

| Metric | Count |
|--------|-------|
| Files reviewed | N |
| Functions reviewed | N |
| CRITICAL findings | N |
| WARNING findings | N |
| INFO findings | N |
| PASS (no issues) |  





      

       
       



        

              
              







           

           
         



        

       
         



    

       
        
     



         

             
            




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Finding Severity Levels

Level	Definition	Action Required
CRITICAL	Security risk, data loss, or system instability	Must fix before merge
WARNING	Potential bugs, maintainability issues, missing coverage	Should fix, can defer
INFO	Style observations, suggestions, notes	Optional
PASS	No issues found	None

Constraints

Constraint	Rule
NO CODE CHANGES	Never write, modify, or delete code
NO FIXES	Report issues, do not implement solutions
FOCUS ON CHANGES	Only review files listed in execution log
READ-ONLY TOOLS	Use tools that don't modify state
DOCUMENT FINDINGS	Every issue must be in the QA report

Subagent Usage

If additional analysis is needed:

With subagents available: Deploy maximum 3:

Subagent	When to Deploy
antipattern-sniffer	Review changed code for anti-patterns and code smells
codebase-analyzer	Deep analysis of specific function implementations
context-synthesis	Identify hidden dependencies affected by changes

Without subagents: Perform manual analysis following the checklist.