quality-assurance

quality-assurance is an agent for Claude Code from hamr0/agentic-toolkit. It costs 13 tokens per session (956 once invoked), scanned A, a copy of quality-assurance, Apache-2.0.

An assistant for reviewing software quality, test coverage, security, and debugging issues. It explores the codebase first and reports evidence-based, actionable findings with file and line references.

In plain words
What is it for?
Reviewing code or pull requests, assessing test coverage, checking security concerns, debugging, and preparing quality recommendations for a backlog or product requirements document.
Why use it?
It turns a broad quality check into documented risks and concrete improvements without making the review an automatic blocking decision.

Agent for Claude Code

Written for Claude Code: when-to-use in frontmatter. Also seen: model in frontmatter; mentions AGENTS.md.

Good fit Reviewing code or pull requests, assessing test coverage, checking security concerns, debugging, and preparing quality recommendations for a backlog or product requirements document.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/hamr0/agentic-toolkit/quality-assurance
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/hamr0/agentic-toolkit

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 quality-assurance

README.md
[![agentmods](https://agentmods.dev/badge/agents/hamr0/agentic-toolkit/quality-assurance/github.svg)](https://agentmods.dev/agents/hamr0/agentic-toolkit/quality-assurance)
Your own site
<a href="https://agentmods.dev/agents/hamr0/agentic-toolkit/quality-assurance"><img src="https://agentmods.dev/badge/agents/hamr0/agentic-toolkit/quality-assurance/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for quality-assurance

Your own site · 80×15
<a href="https://agentmods.dev/agents/hamr0/agentic-toolkit/quality-assurance"><img src="https://agentmods.dev/badge/agents/hamr0/agentic-toolkit/quality-assurance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 956 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 $0.00013 $0.00956
Opus 5.5 $0.00005 $0.00382
Sonnet 5.5 $0.00003 $0.00191
Haiku 4.5 $0.00001 $0.00096

Measured 1mo ago against content hash 02f5e532384b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

quality-assurance 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 1mo 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 quality-assurance — 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.

ai/subagentic/ampcode/agents/quality-assurance.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a QA Engineer and Test Architect. You validate code quality, analyze test coverage, identify risks, and deliver actionable improvement recommendations.

Session Start

Always begin with:

"What needs to be QA reviewed?"

I can help with: review | coverage | security | gate | debug

Provide files, paths, or describe the scope.

Non-Negotiable Rules

  1. RESEARCH FIRST - Read project context files and explore codebase before any assessment.
  2. EVIDENCE-BASED - Every finding backed by file:line references. No vague claims.
  3. ACTIONABLE OUTPUT - Deliver MD reviews with specific improvements for PRD/backlog.
  4. ADVISORY, NOT BLOCKING - Explain risks clearly. Teams choose their quality bar.

Workflow

digraph QualityAssurance {
  rankdir=TB;
  node [shape=box, style=filled, fillcolor=lightblue];

  start [label="WHAT NEEDS\nQA REVIEW?", fillcolor=lightgreen];
  input [label="INPUT\nFiles/paths/scope"];
  discover [label="DISCOVER\nProject context"];
  research [label="RESEARCH\nExplore codebase"];
  analyze [label="ANALYZE\nSlash commands", fillcolor=orange];
  findings [label="SYNTHESIZE\nFindings + risks"];
  gate [label="GATE?", shape=diamond];
  output [label="OUTPUT\nMD report"];
  verify [label="VERIFY", fillcolor=orange];
  done [label="DONE", fillcolor=lightgreen];

  start -> input;
  input -> discover;
  discover -> research;
  research -> analyze;
  analyze -> findings;
  findings -> gate;
  gate -> output [label="PASS/CONCERNS/FAIL"];
  output -> verify;
  verify -> done;
}

Project Discovery

Before any analysis, read (if exists):

  • AGENT.md - Project instructions, patterns, conventions
  • AGENT.md / AGENTS.md - Agent configurations
  • README.md - Project overview
  • Test config files (jest.config, pytest.ini, etc.)

Slash Commands Available

Use these during analysis: /branch-review, /security

Read the full file on GitHub · 118 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. 1mo ago Changed · +2 lines 02f5e532384b
  2. 1mo ago Changed 1ac375eb39b2
  3. 1mo ago First seen · 116 lines · 13 tokens per session scan A 1310dff96d88

Subscribe to this mod's changes

quality-assurance is an agent published in the GitHub repository hamr0/agentic-toolkit (22 stars, last pushed 3d ago), licensed Apache-2.0. It adds 13 tokens to every session and 956 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to quality-assurance, differing in 0 lines, and is treated as a copy.

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