Diagnose LazyCodex and Codex CLI installation health against the latest sources. Use whenever the user asks for a doctor or health check, says LazyCodex, lazycodex-ai, omo-codex, or Codex behaves oddly after an install, update, or config change, suspects a stale, drifted, or broken setup, or wants the local install audited and compared with the latest LazyCodex and Codex code.
68
83%
Does it follow best practices?
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High
Do not use without reviewing
Security
1 high severity finding. You should review these findings carefully before considering using this skill.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill requires that every verdict "cites the command output or file that produced it" and explicitly instructs reading and citing files like CODEX_HOME/config.toml, which can contain API keys or secrets, so the LLM may be forced to include secret values verbatim in its report.
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required workflow materializes “latest sources” by cloning/fetching public repos (e.g., `gh repo clone` / `git fetch` of `code-yeongyu/lazycodex` and `openai/codex`) into `LAZYCODEX_SOURCE_ROOT`, after which the agent reads installer/runtime files from those checkouts (and thus could ingest outsider-authored free text from those repo files into the LLM context when forming evidence/verdicts).
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill syncs live GitHub repositories during runtime (e.g., via git clone "https://github.com/$REPO" and setting origin "https://github.com/$REPO.git") and calls sync_latest_source on code-yeongyu/lazycodex and openai/codex, so remote repo content directly controls the doctor's comparisons and outputs.
895b70c
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