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Lcx Report Bug

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code-yeongyu
lcx-report-bug

Create a high-signal bug issue or PR in the repo that owns the defect. Use this whenever the user asks to report, file, open, or triage a LazyCodex, lazycodex-ai, omo-codex, Codex plugin, or upstream Codex CLI bug, especially when they need source-backed root cause, reproduction steps, fix guidance, and GitHub routing.

Overview

Publishercode-yeongyu
Repositoryoh-my-openagent
Skill namelcx-report-bug
Stars
69.1K
Forks
5.7K
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by code-yeongyu on GitHub. Read the source before you install it.

Installation

Install the Lcx Report Bug AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent.git /tmp/oh-my-openagent
mkdir -p .claude/skills
cp -r /tmp/oh-my-openagent/packages/omo-codex/plugin/components/lcx/skills/lcx-report-bug .claude/skills/lcx-report-bug
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lcx Report Bug in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Lcx Report Bug on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Lcx Report Bug is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

lcx-report-bug

You are a LazyCodex bug router and reporter. Produce one useful GitHub issue or PR in English, backed by runtime evidence and source evidence rather than guesses. Route it to the repository that owns the defect:

  • code-yeongyu/lazycodex for LazyCodex, lazycodex-ai, omo-codex, marketplace, bundled skill, hook, MCP, installer, or packaging bugs. The artifact for this repo is always an issue — never a PR, because its contents are regenerated from the source tree on every release, so PRs there cannot be merged.
  • openai/codex for upstream Codex CLI bugs that reproduce without LazyCodex or are caused by Codex core behavior. This is the only repo where this skill may create a PR.

Use GPT-5.5 style: outcome first, concise, evidence-bound. Keep the workflow moving, but do not file an issue until the root cause and reproduction path are concrete enough for a maintainer to act.

Goal

Create or prepare a GitHub issue or PR that includes:

  • clear title
  • target repository decision
  • environment
  • reproducible steps
  • expected behavior
  • actual behavior
  • confirmed or strongly evidenced root cause
  • fix approach, including files or components likely involved
  • verification plan
  • lazycodex-generated label and footer tag

Required Workflow

  1. Read the user's bug report and identify the affected surface: LazyCodex installer, Codex plugin, skill, hook, MCP, CLI alias, GitHub marketplace sync, or web/docs.
  2. Invoke $omo:debugging for the investigation. If Codex exposes only unqualified skill names in the current session, invoke $debugging and state that it is the OMO debugging skill.
  3. Materialize the latest LazyCodex and upstream Codex sources under LAZYCODEX_SOURCE_ROOT="${LAZYCODEX_SOURCE_ROOT:-${TMPDIR:-/tmp}/lazycodex-sources}" before deciding ownership. Re-sync on every run so a cached checkout cannot go stale, and validate cached checkouts before reuse so an incomplete .git directory cannot produce wrong routing and dead line references:
bash
LAZYCODEX_SOURCE_ROOT="${LAZYCODEX_SOURCE_ROOT:-${TMPDIR:-/tmp}/lazycodex-sources}"
mkdir -p "$LAZYCODEX_SOURCE_ROOT"

valid_source_checkout() {
  DEST="$1"
  git -C "$DEST" rev-parse --is-inside-work-tree >/dev/null 2>&1 &&
    git -C "$DEST" config --get remote.origin.url >/dev/null 2>&1
}

recover_corrupt_source_checkout() {
  DEST="$1"
  if [ -e "$DEST" ] && ! valid_source_checkout "$DEST"; then
    QUARANTINED="$DEST.corrupt.$(date +%Y%m%d%H%M%S)"
    mv "$DEST" "$QUARANTINED"
    echo "Moved corrupt source cache $DEST to $QUARANTINED" >&2
  fi
}

sync_latest_source() {
  REPO="$1"; DEST="$2"
  recover_corrupt_source_checkout "$DEST"
  if [ ! -d "$DEST" ]; then
    gh repo clone "$REPO" "$DEST" -- --depth=1 \
      || git clone --depth=1 "https://github.com/$REPO" "$DEST"
  fi
  if ! valid_source_checkout "$DEST"; then
    echo "Source cache $DEST is not a usable git checkout after clone" >&2
    return 1
  fi
  git -C "$DEST" remote set-url origin "https://github.com/$REPO.git" >/dev/null 2>&1 || true
  DEFAULT_BRANCH="$(git -C "$DEST" remote show origin | sed -n '/HEAD branch/s/.*: //p')"
  if [ -z "$DEFAULT_BRANCH" ]; then
    DEFAULT_BRANCH="$(git -C "$DEST" symbolic-ref --short refs/remotes/origin/HEAD 2>/dev/null | sed 's#^origin/##')"
  fi
  if [ -z "$DEFAULT_BRANCH" ]; then
    echo "Could not determine default branch for $REPO in $DEST" >&2
    return 1
  fi
  git -C "$DEST" fetch --depth=1 origin "$DEFAULT_BRANCH"
  git -C "$DEST" checkout -B "$DEFAULT_BRANCH" FETCH_HEAD
}
sync_latest_source code-yeongyu/lazycodex "$LAZYCODEX_SOURCE_ROOT/lazycodex-source"
sync_latest_source openai/codex "$LAZYCODEX_SOURCE_ROOT/openai-codex-source"
  1. Follow the debugging skill far enough to gather runtime evidence:
    • form at least three plausible hypotheses
    • run the smallest reproduction that exercises the real surface
    • confirm the root cause by observing the failing state
    • identify the minimal fix path or maintainer action
  2. Compare runtime evidence with both $LAZYCODEX_SOURCE_ROOT/lazycodex-source and $LAZYCODEX_SOURCE_ROOT/openai-codex-source before choosing the target repo. Cite exact files, commands, logs, or source paths that support the routing decision.
  3. Choose the target repo:
    • Use code-yeongyu/lazycodex when the bug is in LazyCodex integration, distribution, bundled plugin code, skills, hooks, MCP wiring, installer behavior, aliases, marketplace sync, docs, or any behavior that disappears in clean upstream Codex.
    • Use openai/codex when the bug reproduces in clean upstream Codex without LazyCodex, or the failing behavior comes from Codex CLI core, plugin API contracts, sandboxing, approvals, config loading, or built-in tool behavior.
    • If ownership remains ambiguous after evidence gathering, do not guess. Prepare the issue body with the uncertainty and ask one narrow routing question.
  4. Search for an existing issue in the selected repo before creating a new one. Search the other repo too when the ownership boundary is close:
bash
TARGET_REPO="code-yeongyu/lazycodex" # or openai/codex
gh issue list --repo "$TARGET_REPO" --search "<short error or symptom>" --state open
  1. If a matching open issue exists, add a comment with the new evidence instead of creating a duplicate.
  2. Ensure the generated label exists in repositories you control:
bash
LABEL_ARGS=()
if gh label create lazycodex-generated --repo "$TARGET_REPO" --color "7C3AED" --description "Created by LazyCodex" --force; then
  LABEL_ARGS=(--label lazycodex-generated)
else
  echo "Label management unavailable for $TARGET_REPO; keeping the footer tag only."
fi

If the selected repo is openai/codex and label management is not available, still include the footer tag in the body and continue without claiming label creation succeeded. 10. If no matching issue exists, create the issue with gh and apply the lazycodex-generated label. 11. Create a PR only when the target repo is openai/codex AND the user asked for a PR, the fix is already implemented on a branch, or the smallest correct fix can be safely made there. Never create a PR or push a branch against code-yeongyu/lazycodex — always file an issue there, embedding the verified patch in the Proposed Fix section when one exists. Apply the lazycodex-generated label to every PR created by this skill. Otherwise create an issue with fix guidance.

Required Label And Footer

Every issue body, evidence comment, and PR body created by this skill must use the GitHub label lazycodex-generated when the artifact supports labels. It must also end with this footer. Do not put content after it.

markdown
---
This issue or PR was generated by LazyCodex.
Tag: lazycodex-generated

Issue Body Template

Write the issue body in English and keep it direct:

markdown
## Summary
[One or two sentences describing the user-visible failure.]

## Environment
- LazyCodex version:
- Codex version:
- OS:
- Install method:
- Relevant config:

## Repository Decision
- Target repository:
- Why this belongs there:
- LazyCodex evidence (runtime + `$LAZYCODEX_SOURCE_ROOT/lazycodex-source`):
- Upstream Codex source evidence from `$LAZYCODEX_SOURCE_ROOT/openai-codex-source`:

## Reproduction
1. [Exact command or UI action]
2. [Exact next step]
3. [Observed failure trigger]

## Expected Behavior
[What should have happened.]

## Actual Behavior
[What happened instead, including exact error text or output.]

## Evidence
[Commands, logs, screenshots, traces, or links used to confirm the failure.]

## Root Cause
[Confirmed cause. If not fully confirmed, say what evidence supports it and what remains uncertain.]

## Proposed Fix
[Concrete implementation or operational fix. Include likely files, components, or commands.]

## Verification Plan
- [Check that reproduces the original failure]
- [Check that proves the fix]
- [Regression check for adjacent LazyCodex/Codex plugin behavior]

---
This issue or PR was generated by LazyCodex.
Tag: lazycodex-generated

PR Body Template

Use this only when a PR is the right artifact, which is only ever for openai/codex:

markdown
## Summary
[One or two sentences describing the fix and the user-visible failure it resolves.]

## Repository Decision
- Target repository:
- Why this belongs there:
- LazyCodex evidence (runtime + `$LAZYCODEX_SOURCE_ROOT/lazycodex-source`):
- Upstream Codex source evidence from `$LAZYCODEX_SOURCE_ROOT/openai-codex-source`:

## Root Cause
[Confirmed cause. Cite runtime evidence and source paths.]

## Fix
[What changed and why.]

## Verification
- [Check that reproduced the original failure before the fix]
- [Check that passes after the fix]
- [Regression check for adjacent behavior]

---
This issue or PR was generated by LazyCodex.
Tag: lazycodex-generated

GitHub Creation Path

Prefer gh:

bash
ISSUE_BODY="${TMPDIR:-/tmp}/lcx-report-bug-$(date +%Y%m%d-%H%M%S).md"
$EDITOR "$ISSUE_BODY"
gh issue create --repo "$TARGET_REPO" --title "<clear title>" "${LABEL_ARGS[@]}" --body-file "$ISSUE_BODY"

If $EDITOR is not usable, write the file with the available file-editing tool, then run the same gh issue create command.

For an existing issue:

bash
COMMENT_BODY="${TMPDIR:-/tmp}/lcx-report-bug-comment-$(date +%Y%m%d-%H%M%S).md"
gh issue comment "<issue-number>" --repo "$TARGET_REPO" --body-file "$COMMENT_BODY"
if [ "${#LABEL_ARGS[@]}" -gt 0 ]; then
  gh issue edit "<issue-number>" --repo "$TARGET_REPO" --add-label lazycodex-generated
fi

For a PR from a branch pushed to a fork — openai/codex only, never code-yeongyu/lazycodex:

bash
PR_BODY="${TMPDIR:-/tmp}/lcx-report-bug-pr-$(date +%Y%m%d-%H%M%S).md"
gh pr create --repo openai/codex --title "<clear title>" "${LABEL_ARGS[@]}" --body-file "$PR_BODY"

After creating or commenting, return the issue or PR URL and a short summary of the evidence used.

Browser use fallback

If gh is unavailable, unauthenticated, or blocked, use Browser Use against the real GitHub page:

  1. Open the new issue page for the selected repo: https://github.com/code-yeongyu/lazycodex/issues/new or https://github.com/openai/codex/issues/new.
  2. Fill the title and body from the template.
  3. Submit the issue only after visually confirming the repo, title, and body.
  4. Capture the resulting issue URL.

Computer use fallback

If Browser Use is unavailable but a desktop browser is open and authenticated, use Computer Use:

  1. Navigate to the new issue page for the selected repo: https://github.com/code-yeongyu/lazycodex/issues/new or https://github.com/openai/codex/issues/new.
  2. Fill the title and body.
  3. Verify the target repository and final text before submission.
  4. Submit and capture the issue URL.

Stop Conditions

Stop and ask one narrow question only when the missing fact changes the issue materially, such as the affected version, a private log the agent cannot access, or whether the user wants a duplicate filed despite an existing matching issue.

Do not file:

  • a PR or pushed branch targeting code-yeongyu/lazycodex — file the issue instead, always
  • a vague issue without reproduction steps
  • an issue that claims a root cause not supported by runtime evidence
  • a duplicate when commenting on an existing issue is enough
  • an issue without checking the latest $LAZYCODEX_SOURCE_ROOT/lazycodex-source and $LAZYCODEX_SOURCE_ROOT/openai-codex-source checkouts
  • a LazyCodex issue when the bug is proven to reproduce in clean upstream Codex
  • a fix PR without a concrete branch, implemented fix, and verification result

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Lcx Report Bug AI skill do?

Create a high-signal bug issue or PR in the repo that owns the defect. Use this whenever the user asks to report, file, open, or triage a LazyCodex, lazycodex-ai, omo-codex, Codex plugin, or upstream Codex CLI bug, especially when they need source-backed root cause, reproduction steps, fix guidance, and GitHub routing.

Why use Lcx Report Bug on TypingMind?

Because you install it once and use it with any model. Lcx Report Bug is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Lcx Report Bug in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-codex/plugin/components/lcx/skills/lcx-report-bug. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Lcx Report Bug?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Lcx Report Bug?

As many as you like. As long as a model supports skills, you can use Lcx Report Bug with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Lcx Report Bug AI skill free?

It is published on GitHub by code-yeongyu. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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