dohooo/helmor

helmor-debug-loop

Autonomous local-development debugging loop for Helmor bugs.

First seen Jul 15, 2026

Installation

$ npx skills add dohooo/helmor --skill helmor-debug-loop

Summary

  • Autonomous local-development debugging loop for Helmor bugs.
  • Use when the user asks an agent to reproduce, diagnose, instrument, fix, or verify a Helmor local dev build issue using repeated local UI simulation, temporary logging, Tauri MCP/towery MCP, screenshots, DOM/accessibility snapshots, IPC traces, console/system logs, terminal/run-script logs, or multi-attempt verification.
  • This skill coordinates with $helmor-debug-operate for operating the running desktop app.

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Also in this package

Other skills from dohooo/helmor.

npx skills add dohooo/helmor

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 1.3K
License LICENSE
Default branch main
Open issues 30
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,667 B
  • docs SUMMARY.md 497 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

Helmor Debug Loop

Use this skill to drive a bounded reproduce -> instrument -> inspect -> fix -> verify loop for Helmor local-dev bugs. Always use $helmor-debug-operate for actual local app control through Tauri MCP; this skill owns the debugging strategy and evidence discipline.

Core Loop

  1. Define the suspected behavior, expected behavior, and success signal in one or two sentences.
  2. Reproduce through $helmor-debug-operate with real UI actions when possible. Start with screenshots, DOM/accessibility snapshots, IPC monitor, console/system logs, and terminal buffers.
  3. If evidence is insufficient, add the smallest temporary log or probe with a unique prefix such as [debug-loop:<slug>], rerun the flow, then remove or justify the probe before finalizing.
  4. Analyze the evidence before editing product code. Prefer a narrow fix that explains the observed signal.
  5. Verify the fix with the same user path. For user-visible flows, require three consecutive successful runs unless the user explicitly lowers the bar.
  6. Produce an evidence pack under .agent-contexts/<task-slug>/ with repro attempts, logs, screenshots, IPC, fix summary, and remaining uncertainty.

Fault Tolerance

  • If you cannot reproduce after three distinct attempts, do not invent a failure. Mark the state as not reproduced, preserve evidence, inspect code paths that should have fired, and report the most likely missing precondition.
  • If the bug is flaky, run at least three attempts and compare evidence. Treat intermittent pass/fail as a valid finding, not a failure of the loop.
  • If Tauri MCP cannot connect, use $helmor-debug-operate recovery steps. If the bridge remains unavailable, fall back to static code analysis and terminal tests, and label UI verification as blocked.
  • If a skill recipe fails three times, follow $helmor-debug-operate stale-skill rules: reason from fresh screenshots/DOM/code, record a candidate skill update, and ask before editing that skill unless the user explicitly requested it.
  • If adding logs risks exposing secrets, log shape/count/state only. Never print access tokens, credentials, API keys, cookies, or private account details.
  • If verification cannot be run safely because it would mutate durable user data, switch to a disposable workspace/session or stop and state the risk.

Evidence Sources

Use the available signals in this order:

  • Terminal buffers: use $helmor-debug-operate's Call App Commands helper to run debuglistterminalbuffers, then debugreadterminalbuffer with the returned raw scriptType.
  • UI state: screenshot plus accessibility or structure snapshot.
  • IPC: start monitor, perform one action, capture filtered commands/events, then stop monitor.
  • Logs: Tauri console/system logs, sidecar JSONL logs under the dev data dir when relevant.
  • Code probes: temporary logs with unique prefixes, guarded by debug context when possible.

Read references/debug-loop.md when the task needs the full loop checklist or when reproduction fails. Use scripts in scripts/ to summarize logs and build evidence packs instead of pasting raw dumps into the chat.