
Codex Coder
Route production coding tasks to the user-level Shell, TypeScript, Python, or Rust...
Install
npx skills add sno-ai/sno-station-skills --skill codex-coder -g -a claude-code -y- Repository
- sno-ai/sno-station-skills860
- Category
- Writing
- Updated
- 5d ago
- License
- Apache-2.0
- Context cost
- Lightabout 1,103 tokens
- Runs scripts
- Yes, review before use
What it does
Route production coding tasks to the user-level Shell, TypeScript, Python, or Rust Codex workflow. Use for "codex-coder", "Codex write", "generate with Codex", language migrations, or mixed Shell/TypeScript/Python/Rust implementation when Codex should choose the correct language specialist automatically.
Codex Coder Router
Carry the task's finite time budget into the coding assignment, including test time. Require a duration estimate before each targeted test run; full evaluation, unit, integration, or repository suites require the owner's explicit request, not dispatcher approval. New security checks require the owner's specific approval; auxiliary checks must not block the requested function or development work.
Act as a thin dispatcher. Select the language skill, then let that skill own repository discovery, prompting, implementation, verification, and refinement. Do not keep a second copy of language rules here.
Codex runs with the sandbox off
Keep the owner's configured sandbox_mode = "danger-full-access"; do not override it
in a dispatch, config, flag, or profile. A connection or credential error does not identify
its cause. Inspect the effective configuration, actual endpoint, and error; repair the
observed cause within existing authority. Preserve valid results from unaffected tests.
Route the Target Language
Use this precedence order:
- The language or destination the user explicitly requested.
- The files the task must create or change.
- The repository's manifest, immediate callers, and nearby tests.
- For a migration, the language being produced; treat the source language as context.
- For generated code, the maintained source or generator language unless the user explicitly asks to edit generated output.
Ask one concise clarification only when those signals still do not identify the destination. Do not infer a language from personal preference or tool availability.
