/install omnidebug-autopilot
OmniDebug Autopilot
// TODO: split SKILL.md into smaller modules/components
Universal debugging skill for apps, services, libraries, and scripts across mainstream stacks. Default mode is autonomous execution: find root cause and ship a verified fix without pausing for user input.
Quick Start
Use this skill when requests include:
- "debug this"
- "fix this bug"
- "why is this failing"
- "find root cause"
- "auto fix"
Execution contract:
- Detect language, framework, package manager, and test runner.
- Reproduce the failure with a single deterministic command.
- Collect evidence from logs, traces, network, and failing tests.
- Isolate the smallest root cause (code, config, env, data, dependency, race, permissions).
- Apply the minimum correct fix.
- Re-run verification gates until green.
Non-Interruption Policy
- Do not ask follow-up questions during normal debugging.
- Continue autonomously through analysis, patching, and verification.
- Only stop when blocked by missing secrets, unavailable infrastructure, or destructive action risk.
- If blocked, use the safest fallback and continue as far as possible.
Mainstream Debug Process
Phase 1: Triage
- Capture exact error text and failing command.
- Use debugging tools first: console logs and network requests before code edits.
- Identify regression window from recent diffs if available.
- Determine scope: runtime error, failing test, build failure, performance issue, or security defect.
Phase 2: Reproduction
- Create one reproducible command.
- Remove noise by disabling unrelated jobs and minimizing input.
- Prefer deterministic seeds and controlled timing.
- Confirm failure reproduces at least twice.
- Browser-specific reproducibility rules:
- Pin browser (
chromium/firefox/webkit), viewport, locale, and timezone. - Freeze test data and seed values.
- Disable retries during repro.
- Persist traces, screenshots, videos, and HAR files.
- Pin browser (
Phase 3: Evidence Collection
Collect only relevant artifacts:
- Console and application logs
- Test output with stack traces
- Network failures and status codes
- Runtime metrics (latency, memory, CPU) when performance related
- Config/env differences between working and failing contexts
- Browser artifacts bundle:
- Devtools console log export
- Failed request waterfall with request/response metadata
- Reproduction trace and screenshot at failure frame
- Browser/version and OS metadata
Phase 4: Root Cause Analysis
Use this chain:
- Symptom statement
- Immediate fault location
- Underlying mechanism
- Trigger condition
- Why safeguards missed it
Root cause must be a single falsifiable statement tied to evidence.
Phase 5: Fix Strategy
- Prefer the smallest change that resolves cause, not symptom masking.
- Keep public API behavior stable unless the bug requires a behavior correction.
- Add or update tests that fail before and pass after fix.
- Avoid temporary bypasses (
@ts-ignore, disabled tests, silent catches).
Phase 6: Verification Gates
All applicable gates must pass:
- Unit, integration, and e2e tests
- Lint and static analysis
- Type checks
- Build and package
- Relevant runtime smoke check
If any gate fails, loop back to Phase 4.
Browser Reproduction Module
Use these scripts for browser bug reproduction and fix validation:
# 1) Reproduce failure deterministically (expected to fail)
python scripts/repro_browser_issue.py \
--project-root . \
--repro-cmd "pnpm exec playwright test tests/bug.spec.ts --project=chromium --workers=1 --retries=0" \
--expect fail \
--runs 2
# 2) Capture browser debugging artifacts into one bundle
python scripts/capture_browser_artifacts.py --project-root . --output-dir .debug/browser-artifacts
# 3) Verify fix deterministically (expected to pass)
python scripts/verify_browser_fix.py \
--project-root . \
--verify-cmd "pnpm exec playwright test tests/bug.spec.ts --project=chromium --workers=1 --retries=0" \
--runs 2 \
--signature-file .debug/browser-repro/repro_report.json
Supported frameworks: Playwright, Cypress, Selenium, WebdriverIO. Use project-native commands first; scripts only orchestrate repeatable debug workflow.
Stack Detection and Default Commands
| Stack | Detect Signals | Verify Commands |
|---|---|---|
| Node.js / TypeScript | package.json, tsconfig.json |
pnpm test, pnpm lint, pnpm typecheck, pnpm build |
| Python | pyproject.toml, requirements.txt |
pytest -q, ruff check ., mypy . |
| Go | go.mod |
go test ./..., go vet ./... |
| Rust | Cargo.toml |
cargo test, cargo clippy -- -D warnings |
| Java/Kotlin | build.gradle, pom.xml |
./gradlew test, ./gradlew build or mvn test |
| Ruby | Gemfile |
bundle exec rspec, bundle exec rubocop |
| PHP | composer.json |
composer test, vendor/bin/phpunit |
| .NET | *.sln, *.csproj |
dotnet test, dotnet build |
| Swift (iOS/macOS) | Package.swift, *.xcodeproj |
swift test or xcodebuild test |
Pick commands from project scripts first; use defaults only if scripts are missing.
Auto-Fix Heuristics
Prioritize fixes in this order:
- Incorrect logic or branching
- Null and undefined handling at source
- Async and concurrency ordering
- Contract and schema mismatch
- Config and environment mismatch
- Dependency incompatibility
- Resource, path, or permission issues
For each candidate fix:
- Estimate blast radius
- Choose the lowest-risk valid option
- Verify with targeted tests, then full gates
Guardrails
- Never claim success without passing verification.
- Never skip tests to make status green.
- Never introduce permanent production
console.lognoise. - Never hardcode secrets or private endpoints.
- Preserve existing style and architecture conventions.
Completion Criteria
A task is complete only when all are true:
- Reproduction exists for the original failure
- Root cause statement is evidence-backed
- Fix addresses root cause directly
- Verification gates pass
- Regression coverage is added or updated
Output Format
Return concise sections:
- Root cause
- Applied fix
- Verification commands and results
- Remaining risk (if any)
Resources
references/browser-repro-playbook.mdreferences/browser-artifact-checklist.mdscripts/repro_browser_issue.pyscripts/capture_browser_artifacts.pyscripts/verify_browser_fix.py
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install omnidebug-autopilot - 安装完成后,直接呼叫该 Skill 的名称或使用
/omnidebug-autopilot触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Omnidebug Autopilot 是什么?
Autonomous end-to-end debugging skill for any codebase, language, and framework. Detects stack, reproduces failures, isolates root cause, applies minimal saf... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 8 次。
如何安装 Omnidebug Autopilot?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install omnidebug-autopilot」即可一键安装,无需额外配置。
Omnidebug Autopilot 是免费的吗?
是的,Omnidebug Autopilot 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Omnidebug Autopilot 支持哪些平台?
Omnidebug Autopilot 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Omnidebug Autopilot?
由 clarezoe(@clarezoe)开发并维护,当前版本 v1.0.2。