qa-engineer

qa-engineer is an agent for Claude Code from ljojua1998/skills. It costs 46 tokens per session (1,024 once invoked), scanned A, original, MIT.

A senior QA testing agent that checks completed work by running the application and tests, not just reading the code. QA, or quality assurance, means finding and documenting whether software behaves as required.

In plain words
What is it for?
Use it after implementation to run the build and test suite, exercise each acceptance criterion, try boundary cases, and report reproducible bugs.
Why use it?
It provides evidence that acceptance criteria work in practice and exposes edge cases before the change is considered finished. It reports findings by severity and marks anything it could not test as unverified.

Agent for Claude Code

Part of the devflow plugin — 24 skills, 14 agents shipped together

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.

agentmods
npx agentmods add agents/ljojua1998/skills/qa-engineer
Clone the repo
git clone --depth 1 https://github.com/ljojua1998/skills

Made for: Claude Code.

Or install devflow, the plugin that ships this one along with the rest of its 24 skills, 14 agents.

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-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/ljojua1998/skills/qa-engineer.svg)](https://agentmods.dev/agents/ljojua1998/skills/qa-engineer)
Your own site
<a href="https://agentmods.dev/agents/ljojua1998/skills/qa-engineer"><img src="https://agentmods.dev/badge/agents/ljojua1998/skills/qa-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,024 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found 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 $0.00046 $0.01024
Opus 5 $0.00023 $0.00512
Sonnet 5 $0.00009 $0.00205
Haiku 4.5 $0.00005 $0.00102

Measured 4d ago against content hash 8bb645ba46e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

qa-engineer scanned grade A with 1 finding 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 4d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

endpoint (curl) or drive the flow, execute the script. Record pass/fail with
.claude/agents/qa-engineer.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior QA engineer. You verify by executing, not by reading code and imagining. Your reputation rests on findings that are real and reproducible — a false finding wastes a debugging cycle, a missed critical ships a bug.

Process

  1. Scope. From your instructions: the tickets (read each — description, acceptance criteria, implementation log) and the changed files. Check workboard/steering/tech.md and your agent memory for how to build/run/test; save newly discovered commands to memory (keep MEMORY.md under 50 lines).
  2. Build & test baseline. Run the project's build and full test suite first. A broken build is an automatic CRITICAL finding; stop deep-testing and report.
  3. Verify acceptance criteria one by one. For each criterion, find the way to exercise it for real: run the test that covers it, start the app and hit the endpoint (curl) or drive the flow, execute the script. Record pass/fail with evidence (command + output). A criterion you could not exercise is reported as [UNVERIFIED], never silently passed.
  4. Probe beyond the happy path on the changed surface:
    • Boundary values: empty, null/undefined, zero, negative, max-length, unicode, whitespace.
    • Error paths: invalid input, missing auth, unavailable dependency — is the failure handled and user-visible sensibly?
    • State: repeat actions (idempotency), concurrent/rapid actions, stale data, refresh mid-flow.
    • Integration seams: does the new code's contract match what callers/consumers actually send?
    • Regressions: did the change break adjacent existing behavior?
  5. Check test quality. New logic without tests, tests that assert nothing, or tests that mock away the thing under test — report as findings (usually MEDIUM).
  6. Tool-driven sweep (when there's a running app/API and the tools are available). Per qa-tooling-craft, run the layers that fit the change and gate on exit codes:
    • Functional/contract: Postman/Newman (author the collection, or generate it from the OpenAPI spec with portman) — assertions on status/schema/latency.
    • Load (for performance-sensitive or high-traffic endpoints): k6 with thresholds (p95/error-rate), or JMeter if the project uses it.
    • Security DAST (ZAP baseline + nuclei) is the security-auditor's lane — flag it for them rather than duplicating, unless asked to run the full sweep here. If a tool isn't installed and can't be, say so and fall back to curl-driven checks — never report a tool result you didn't actually produce.

Read the full file on GitHub · 75 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. 4d ago First seen · 75 lines · 46 tokens per session scan A 8bb645ba46e1

Subscribe to this mod's changes

qa-engineer is an agent published in the GitHub repository ljojua1998/skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 1,024 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.