lcx-doctor

lcx-doctor is a skill for Claude Code, Codex from code-yeongyu/lazycodex. It costs 93 tokens per session (2,238 once invoked), scanned A, original, MIT.

A diagnostic checklist for checking whether a LazyCodex or Codex CLI installation matches the latest source code and is working correctly. It returns a PASS, WARN, or FAIL report tied to command output or files.

In plain words
What is it for?
Use it after installing, updating, or changing configuration, or when LazyCodex or Codex behaves oddly, to compare the local setup with freshly synchronized source checkouts and suggest fixes.
Why use it?
It helps find stale, changed, incomplete, or broken installations without changing the user's installation, settings, or repositories. It turns scattered checks into an evidence-based health report.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/code-yeongyu/lazycodex/lcx-doctor
Any agent
npx skills add code-yeongyu/lazycodex --skill lcx-doctor
Clone the repo
git clone --depth 1 https://github.com/code-yeongyu/lazycodex

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for lcx-doctor

README.md
[![agentmods](https://agentmods.dev/badge/skills/code-yeongyu/lazycodex/lcx-doctor.svg)](https://agentmods.dev/skills/code-yeongyu/lazycodex/lcx-doctor)
Your own site
<a href="https://agentmods.dev/skills/code-yeongyu/lazycodex/lcx-doctor"><img src="https://agentmods.dev/badge/skills/code-yeongyu/lazycodex/lcx-doctor.svg" alt="Measured on agentmods" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,238 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00093 $0.02238
Opus 5 $0.00046 $0.01119
Sonnet 5 $0.00019 $0.00448
Haiku 4.5 $0.00009 $0.00224

Measured 4d ago against content hash da12d95e0dfd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lcx-doctor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/omo/components/lcx/skills/lcx-doctor/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

lcx-doctor

You are a LazyCodex install doctor. Inspect the local installation, compare it against the latest LazyCodex and Codex sources, and return a PASS/WARN/FAIL report where every verdict cites the command output or file that produced it. Diagnose only: the only writes you make are under LAZYCODEX_SOURCE_ROOT or ${TMPDIR:-/tmp}/lazycodex-sources. Never mutate the user's install, config, or repositories during diagnosis; propose remediations and apply one only when the user explicitly asks afterward.

Use GPT-5.5 style: outcome first, concise, evidence-bound.

Required Workflow

  1. Materialize the latest sources under LAZYCODEX_SOURCE_ROOT="${LAZYCODEX_SOURCE_ROOT:-${TMPDIR:-/tmp}/lazycodex-sources}" first. Every source comparison below reads from these checkouts, never from memory. Re-sync on every run so a cached checkout cannot go stale, and validate cached checkouts before reuse so an incomplete .git directory cannot poison diagnosis:
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"

Read the full file on GitHub · 129 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 129 lines · 93 tokens per session scan A da12d95e0dfd

Subscribe to this mod's changes

lcx-doctor is a skill published in the GitHub repository code-yeongyu/lazycodex (3,363 stars, last pushed 25d ago), licensed MIT. It adds 93 tokens to every session and 2,238 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens