with one click
debug-loop
Hypothesis-driven autonomous debugging with real command validation
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Menu
Hypothesis-driven autonomous debugging with real command validation
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Comprehensive WCAG accessibility auditing with multi-tool testing (axe-core + pa11y + Lighthouse), TRUE PARALLEL execution with Promise.allSettled, graceful degradation, retry with backoff, context-aware remediation, learning integration, and video accessibility. Uses 3-tier browser cascade: Vibium → agent-browser → Playwright+Stealth.
WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for disabilities, or building accessible applications for 1 billion disabled users globally.
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.
Comprehensive API testing patterns including contract testing, REST/GraphQL testing, and integration testing. Use when testing APIs or designing API test strategies.
Migrate Agentic QE projects from v2 to v3 with zero data loss
Unvarnished technical criticism combining Linus Torvalds' precision, Gordon Ramsay's standards, and James Bach's BS-detection. Use when code/tests need harsh reality checks, certification schemes smell fishy, or technical decisions lack rigor. No sugar-coating, just surgical truth about what's broken and why.
| name | debug-loop |
| description | Hypothesis-driven autonomous debugging with real command validation |
| trust_tier | 0 |
| domain | debugging |
Autonomous hypothesis-driven debugging against real data. No guessing, no simulating.
<symptom> — Description of the bug or unexpected behavior. If omitted, prompt the user.Run the exact command that shows the bug. Capture and display the REAL output. Confirm the bug is visible.
If the bug cannot be reproduced, stop and explain what was tried.
For each iteration:
sqlite3 [db path] '.tables' then SELECT COUNT(*) FROM [table])Do NOT make code changes until you have a confirmed root cause.
Important checks:
Make the minimal targeted fix. Explain:
Before applying, grep for ALL instances of the problematic pattern across the entire codebase.
Run the SAME reproduction command from Phase 1. The output must now show correct values. If it doesn't, go back to Phase 2.
Show before/after output comparison.
npm test
Run the full test suite. If tests fail, fix them before committing.