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Skill

/test-metrics-dashboard

Use when querying test history, analyzing flakiness rates, tracking MTTR, or building quality trend dashboards from test execution data.

From plugin
agentic-qe
436200 skills169 agents149 commands
Install
$ npx -y skills add proffesor-for-testing/agentic-qe --skill test-metrics-dashboard --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/test-metrics-dashboard

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when querying test history, analyzing flakiness rates, tracking MTTR, or building quality trend dashboards from test execution data.

SKILL.md

test-metrics-dashboard.SKILL.md
name: test-metrics-dashboard
description: "Use when querying test history, analyzing flakiness rates, tracking MTTR, or building quality trend dashboards from test execution data."
user-invocable: true

Test Metrics Dashboard

Data & Analysis skill for querying test execution history, identifying trends, and surfacing actionable quality metrics.

Activation

/test-metrics-dashboard

Key Metrics

Test Health Metrics

| Metric | Formula | Target | Alert | |--------|---------|--------|-------| | **Pass Rate** | Passed / Total | > 95% | < 90% | | **Flakiness Rate** | Flaky / Total | < 5% | > 10% | | **MTTR** | Avg time from failure to fix | < 4 hours | > 24 hours | | **Execution Time** | Total suite duration | < 10 min | > 20 min | | **Coverage Delta** | Current - Previous | >= 0% | < -2% |

Data Collection

# Export Jest results to JSON
npx jest --json --outputFile=test-results/$(date +%Y-%m-%d).json

# Parse results for dashboard
jq '{
  date: .startTime,
  total: .numTotalTests,
  passed: .numPassedTests,
  failed: .numFailedTests,
  duration_ms: (.testResults | map(.endTime - .startTime) | add),
  pass_rate: ((.numPassedTests / .numTotalTests) * 100),
  flaky: [.testResults[] | select(.numPendingTests > 0)] | length
}' test-results/$(date +%Y-%m-%d).json

Trend Analysis

# Compare last 5 runs
for f in $(ls -t test-results/*.json | head -5); do
  jq --arg file "$f" '{
    file: $file,
    pass_rate: ((.numPassedTests / .numTotalTests) * 100 | floor),
    duration_s: ((.testResults | map(.endTime - .startTime) | add) / 1000 | floor)
  }' "$f"
done

Top Failing Tests

# Find most frequently failing tests across runs
for f in test-results/*.json; do
  jq -r '.testResults[] | select(.numFailingTests > 0) | .testFilePath' "$f"
done | sort | uniq -c | sort -rn | head -10

Run History

Store dashboard data in `${CLAUDE_PLUGIN_DATA}/test-metrics.log`:

2026-03-18|95.2|4.1|312|82.5|3

Format: `date|pass_rate|flakiness_rate|duration_s|coverage_pct|failed_count`

Read history for trend detection:

# Coverage trending down?
tail -5 "${CLAUDE_PLUGIN_DATA}/test-metrics.log" | awk -F'|' '{print $5}' | sort -n | head -1

Composition

Feeds into:

  • **`/qe-quality-assessment`** — quality gate decisions based on metrics
  • **`/test-failure-investigator`** — investigate top failing tests
  • **`/coverage-drop-investigator`** — when coverage trends down

Gotchas

  • Metrics without baselines are meaningless — establish baselines before tracking trends
  • Flakiness rate is underreported — a test that fails 1/100 times still breaks CI weekly
  • Duration trends upward over time as test count grows — set alerts on rate of increase, not absolute value
  • Agent may report metrics from a single run as "trends" — need 5+ data points for meaningful trends
Read more
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