Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Triage failed Agent QA runs with MCP evidence, artifacts, logs, fixed failure categories, confidence, and actionable next steps.
.claude/skills/sickn33-agent-qa-result-triage/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 122% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 47% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 73% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 70% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -15% | 0% |
Classify a failed Agent QA run from its recorded evidence instead of guessing. Inspect the run, steps, artifacts, and logs; choose one fixed category; and return confidence, likely ownership, and the next evidence-backed action.
agent_qa_get_run for run status, suite child context, steps, and attempts.agent_qa_get_run_artifactagent_qa_get_run_stepsagent_qa_get_run_logsagent_qa_get_run_execution_logsagent_qa_classify_failure and use its category as the default classification unless stronger evidence contradicts it.agent-qa-debug-fix after triage is complete.Use exactly one category from references/triage-categories.md:
timeoutappium_startupbrowser_disconnectelement_not_foundassertion_failurehook_failureinfrastructureunknown_failurejson{ "category": "element_not_found", "confidence": "high", "evidence": ["Step 4 could not resolve the described checkout button"], "likely_fix_area": "test definition or changed product UI", "next_action": "Inspect the captured UI context, then compare the current checkout screen" }
agent-qa-debug-fix for an authorized repair.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 21,965 | 16,174 | -26% | 1 | 1 | 0% | 1,705 | 1,058 | -38% | 0 | 0 | — |
case-02 | fail→fail | 15,468 | 28,695 | +86% | 1 | 1 | 0% | 370 | 5,226 | +1312% | 0 | 0 | — |
case-03 | fail→fail | 14,302 | 15,630 | +9% | 1 | 1 | 0% | 1,636 | 936 | -43% | 0 | 0 | — |
case-04 | fail→pass | 9,707 | 11,718 | +21% | 1 | 1 | 0% | 831 | 1,844 | +122% | 0 | 0 | — |
case-05 | fail→pass | 14,696 | 14,338 | -2% | 1 | 1 | 0% | 1,574 | 2,311 | +47% | 0 | 0 | — |
case-06 | fail→fail | 14,718 | 15,842 | +8% | 1 | 1 | 0% | 1,687 | 946 | -44% | 0 | 0 | — |
case-07 | fail→fail | 18,327 | 50,123 | +173% | 1 | 1 | 0% | 2,335 | 1,065 | -54% | 0 | 0 | — |
case-08 | fail→fail | 11,141 | 15,567 | +40% | 1 | 1 | 0% | 1,058 | 1,020 | -4% | 0 | 0 | — |
case-09 | fail→pass | 10,912 | 18,429 | +69% | 1 | 1 | 0% | 968 | 1,673 | +73% | 0 | 0 | — |
case-10 | pass→pass | 14,106 | 12,610 | -11% | 1 | 1 | 0% | 1,683 | 2,056 | +22% | 0 | 0 | — |
case-11 | fail→fail | 15,695 | 11,957 | -24% | 1 | 1 | 0% | 1,852 | 1,824 | -2% | 0 | 0 | — |
case-12 | pass→fail | 10,538 | 15,236 | +45% | 1 | 1 | 0% | 1,019 | 1,089 | +7% | 0 | 0 | — |
case-13 | fail→pass | 11,368 | 12,314 | +8% | 1 | 1 | 0% | 1,160 | 1,970 | +70% | 0 | 0 | — |
case-14 | fail→fail | 11,419 | 31,952 | +180% | 1 | 1 | 0% | 1,090 | 2,353 | +116% | 0 | 0 | — |
case-15 | fail→pass | 20,389 | 23,410 | +15% | 1 | 1 | 0% | 2,585 | 2,205 | -15% | 0 | 0 | — |
case-16 | fail→pass | 13,760 | 9,220 | -33% | 1 | 1 | 0% | 1,438 | 1,251 | -13% | 0 | 0 | — |
case-17 | pass→pass | 25,001 | 25,579 | +2% | 1 | 1 | 0% | 3,103 | 4,289 | +38% | 0 | 0 | — |
case-18 | fail→pass | 11,727 | 12,802 | +9% | 1 | 1 | 0% | 1,161 | 1,871 | +61% | 0 | 0 | — |
case-19 | fail→pass | 11,096 | 10,115 | -9% | 1 | 1 | 0% | 1,135 | 1,569 | +38% | 0 | 0 | — |
case-20 | fail→pass | 29,184 | 12,020 | -59% | 1 | 1 | 0% | 214 | 1,924 | +799% | 0 | 0 | — |
case-21 | fail→pass | 16,148 | 12,646 | -22% | 1 | 1 | 0% | 1,927 | 1,952 | +1% | 0 | 0 | — |
case-22 | fail→fail | 21,220 | 18,745 | -12% | 1 | 1 | 0% | 3,346 | 3,705 | +11% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 14 counted toward the lift figure. The other 8 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +41 percentage points is the difference between those two pass rates over the 14 comparable cases. 3 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.