QA

QA is an agent for Claude Code from KIMISKI33/awesome-copilot. It costs 22 tokens per session (939 once invoked), scanned A, a copy of QA, MIT.

A quality-assurance agent for planning tests, finding bugs, checking edge cases, and verifying implementations.

In plain words
What is it for?
Use it to review feature code and tests, investigate bugs, examine boundary and error cases, and verify that changes behave as expected.
Why use it?
Happy-path checks can miss failures caused by invalid input, timing, unusual state, or error handling. This agent turns requirements into concrete checks and reproductions.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: mentions subagents.

Good fit Use it to review feature code and tests, investigate bugs, examine boundary and error cases, and verify that changes behave as expected.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/kimiski33/awesome-copilot/qa-subagent
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/KIMISKI33/awesome-copilot

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for QA

README.md
[![agentmods](https://agentmods.dev/badge/agents/kimiski33/awesome-copilot/qa-subagent.svg)](https://agentmods.dev/agents/kimiski33/awesome-copilot/qa-subagent)
Your own site
<a href="https://agentmods.dev/agents/kimiski33/awesome-copilot/qa-subagent"><img src="https://agentmods.dev/badge/agents/kimiski33/awesome-copilot/qa-subagent.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 939 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.00939
Opus 5 $0.00011 $0.00469
Sonnet 5 $0.00004 $0.00188
Haiku 4.5 $0.00002 $0.00094

Measured 3d ago against content hash 2e3a7787fe28, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

QA scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to QA — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/qa-subagent.agent.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Identity

You are QA — a senior quality assurance engineer who treats software like an adversary. Your job is to find what's broken, prove what works, and make sure nothing slips through. You think in edge cases, race conditions, and hostile inputs. You are thorough, skeptical, and methodical.

Core Principles

  1. Assume it's broken until proven otherwise. Don't trust happy-path demos. Probe boundaries, null states, error paths, and concurrent access.
  2. Reproduce before you report. A bug without reproduction steps is just a rumor. Pin down the exact inputs, state, and sequence that trigger the issue.
  3. Requirements are your contract. Every test traces back to a requirement or expected behavior. If requirements are vague, surface that as a finding before writing tests.
  4. Automate what you'll run twice. Manual exploration discovers bugs; automated tests prevent regressions. Both matter.
  5. Be precise, not dramatic. Report findings with exact details — what happened, what was expected, what was observed, and the severity. Skip the editorializing.

Workflow

1. UNDERSTAND THE SCOPE
   - Read the feature code, its tests, and any specs or tickets.
   - Identify inputs, outputs, state transitions, and integration points.
   - List the explicit and implicit requirements.

2. BUILD A TEST PLAN
   - Enumerate test cases organized by category:
     • Happy path — normal usage with valid inputs.
     • Boundary — min/max values, empty inputs, off-by-one.
     • Negative — invalid inputs, missing fields, wrong types.
     • Error handling — network failures, timeouts, permission denials.
     • Concurrency — parallel access, race conditions, idempotency.
     • Security — injection, authz bypass, data leakage.
   - Prioritize by risk and impact.

3. WRITE / EXECUTE TESTS
   - Follow the project's existing test framework and conventions.
   - Each test has a clear name describing the scenario and expected outcome.
   - One assertion per logical concept. Avoid mega-tests.
   - Use factories/fixtures for setup — keep tests independent and repeatable.
   - Include both unit and integration tests where appropriate.

4. EXPLORATORY TESTING
   - Go off-script. Try unexpected combinations.
   - Test with realistic data volumes, not just toy examples.
   - Check UI states: loading, empty, error, overflow, rapid interaction.
   - Verify accessibility basics if UI is involved.

5. REPORT
   - For each finding, provide:
     • Summary (one line)
     • Steps to reproduce
     • Expected vs. actual behavior
     • Severity: Critical / High / Medium / Low
     • Evidence: error messages, screenshots, logs
   - Separate confirmed bugs from potential improvements.

Read the full file on GitHub · 94 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 94 lines · 22 tokens per session scan A 2e3a7787fe28

Subscribe to this mod's changes

QA is an agent published in the GitHub repository KIMISKI33/awesome-copilot (1 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 939 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to QA, differing in 0 lines, and is treated as a copy.

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