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Yo codex 2026 07 10

Skill pholgy/yo-skills/archive/yo-codex-2026-07-10

Evidence-first software-engineering workflows for Codex and Claude.

Install
npx -y skills add pholgy/yo-skills --skill yo-codex-2026-07-10

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 26 days oldThe repository was created 26 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use whenever Claude is about to delegate work to OpenAI Codex CLI. Default to the MCP session (`mcp__codex__codex` plus `mcp__codex__codex-reply`) because it keeps an interactive thread alive, edits files in place, and preserves task context. Use shell `codex exec` only for true one-shot fallback work such as read-only review or standalone questions. Encodes the routing rules so future sessions do not re-decide the delegation path.

SKILL.md

3.3 KB, as published. Nobody here has run it

yo-codex - Codex Delegation

Use this when Claude needs Codex as an implementation or review partner.

Default route: MCP session

Use mcp__codex__codex for the first turn, then mcp__codex__codex-reply with the returned threadId for every follow-up. The live thread keeps state, edits land in place, and follow-up failures can be sent back without rebuilding context.

Use MCP for:

  • Multi-file implementation.
  • Refactors or fixes that may need follow-up.
  • Work where Codex should read, edit, run checks, and react to failures.
  • Parallel implementation or review alongside Claude's own work.

Required shape:

mcp__codex__codex({
  prompt: "<actual task, no preamble>",
  model: "gpt-5.5",
  cwd: "<absolute project path>",
  sandbox: "workspace-write",
  approval-policy: "never"
})

Follow-up shape:

mcp__codex__codex-reply({
  threadId: "<thread id from first response>",
  prompt: "<next turn or verification failure>"
})

Rules:

  • Always pass an absolute cwd.
  • Use Windows paths on Windows machines.
  • Save threadId immediately.
  • Do not start a new MCP session for a normal follow-up.

Fallback route: codex exec

Use shell codex exec only when a live MCP session is unavailable or genuinely unnecessary.

Good fallback uses:

  • One-shot read-only review.
  • Standalone second opinion.
  • Small script or analysis where no follow-up is expected.

Avoid fallback for implementation you may need to iterate on. If verification fails, a live MCP session is the better tool.

After Codex edits

Verify by behavior, not by rereading every edited file out of habit:

  1. Run the relevant project check: tests, lint, type-check, build, or browser flow.
  2. If verification passes, continue.
  3. If verification fails, send the failure to codex-reply.
  4. Read files only when you need to take the work back, cite a line, or make your own follow-up edit.

Routing examples

TaskRoute
"Add /api/health and tests"MCP
"Refactor auth middleware"MCP
"Review this diff for authz risk"MCP if available; codex exec read-only fallback if not
"Is this regex safe?"codex exec fallback is acceptable
"Implement a parallel approach so we can compare"MCP

Anti-patterns

  • Using one-shot fallback because it feels lighter, then needing follow-up.
  • Pasting Codex prose into a file edit instead of asking Codex to make the edit.
  • Re-reading files only to confirm that Codex wrote what it said.
  • Forgetting cwd.
  • Losing the threadId.
  • Letting approval prompts hang a trusted local delegation.

Related state

  • ~/.codex/ contains Codex config, rules, skills, and memories on current installs.
  • MCP registration is user-scoped. Verify the active machine before assuming exact paths.
  • yo-codex-settings defines the user's Codex-side model/effort baseline.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.