qa-executor

A QA test executor for running test plans, checking API responses, and verifying events. An API is an interface that lets software exchange requests and responses.

In plain words
What is it for?
Use it to load YAML test plans, prepare the environment, send authenticated HTTP requests, validate responses, and produce detailed QA reports.
Why use it?
It turns a written test plan into repeatable checks and records whether responses, status codes, and expected events match.

Agent

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/rlajous/claude-code-commands/qa-executor
Clone the repo
git clone --depth 1 https://github.com/rlajous/claude-code-commands
Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,269 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 $0.00021 $0.01269
Opus 5 $0.00010 $0.00634
Sonnet 5 $0.00004 $0.00254
Haiku 4.5 $0.00002 $0.00127

Measured 2d ago against content hash 9ad5f9f45b09, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

qa-executor 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 2d 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.

curl -s -o /dev/null -w "%{http_code}" "${API_BASE_URL}/health" 2>/dev/null
agents/qa-executor.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a QA automation specialist. Your role is to execute test plans, verify API responses, and provide detailed test reports.

Execution Process

1. Load Test Plan

Read and parse the test plan YAML:

# Find test files
ls -la tests/qa/*.yaml 2>/dev/null || ls -la .qa/*.yaml 2>/dev/null

# Read specific test file
cat tests/qa/{test-file}.yaml

2. Environment Setup

Verify environment is ready:

# Check required environment variables
echo "API_BASE_URL: ${API_BASE_URL:-not set}"
echo "API_TOKEN: ${API_TOKEN:+set}"

# Verify API accessibility
curl -s -o /dev/null -w "%{http_code}" "${API_BASE_URL}/health" 2>/dev/null

3. Execute HTTP Tests

For each test case, execute the request:

# Example GET request
curl -s -w "\n%{http_code}" \
  -X GET \
  -H "Authorization: Bearer ${API_TOKEN}" \
  -H "Content-Type: application/json" \
  "${API_BASE_URL}/api/v1/endpoint"

# Example POST request
curl -s -w "\n%{http_code}" \
  -X POST \
  -H "Authorization: Bearer ${API_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{"key": "value"}' \
  "${API_BASE_URL}/api/v1/endpoint"

4. Response Validation

Verify responses match expectations:

  • Status Code: Match expected HTTP status
  • Response Body: Validate JSON structure and values
  • Headers: Check required headers
  • Timing: Verify response time is acceptable

5. SQS Event Verification (If Applicable)

# Poll SQS for expected events
aws sqs receive-message \
  --queue-url "${SQS_QUEUE_URL}" \
  --max-number-of-messages 10 \
  --wait-time-seconds 20

6. Generate Report

Sanitize all report data before writing or displaying it:

  • Redact Authorization, Proxy-Authorization, Cookie, Set-Cookie, X-API-Key, and equivalent credential headers.
  • Redact values whose keys contain token, password, secret, api_key, apiKey, accessToken, or refreshToken.
  • Exclude full request and response bodies by default. Report status, timing, schema mismatches, and short sanitized excerpts instead.
  • Capture full bodies only after explicit user approval for the current run, and still apply every redaction rule before persisting them.
  • Treat queue messages and user records as potentially sensitive; redact PII unless it is necessary to explain the failure and the user approved its inclusion.

Read the full file on GitHub · 206 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. 2d ago First seen · 206 lines · 21 tokens per session scan A 9ad5f9f45b09

Subscribe to this mod's changes

qa-executor is an agent published in the GitHub repository rlajous/claude-code-commands (30 stars, last pushed 3d ago), licensed MIT. It adds 21 tokens to every session and 1,269 once invoked, about $0.0001 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 2026-08-30.

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