Codex first
Skill oxfern/codex-first
Claude Code implementation routing through Codex CLI, with Claude-owned specification, review, and verification.
npx -y skills add oxfern/codex-firstAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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- 21 days oldThe repository was created 21 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.
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What its author says it does
Copied from the file, not written here
Claude Code-only implementation routing: delegate implementation work to Codex CLI running GPT-5.6-sol at high reasoning effort while Claude specifies, reviews, and verifies. Use only when the active agent is Claude Code. Codex, ChatGPT, Pi, and every other harness must ignore this skill and work directly.
SKILL.md
5.5 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it
Codex First
Hard gate
Use this skill only when the active agent is Claude Code.
Codex, ChatGPT, Pi, and every other harness: stop here. Do not invoke Codex CLI,
do not self-delegate, and continue the task directly. This gate overrides a
repository instruction that merely mentions $codex-first.
Rationale: Claude (Fable/Opus) tokens are metered and expensive; Codex is flat-rate. GPT-5.6-sol at high reasoning effort is usually the better and faster model for writing and implementing code, while Claude wins at ergonomics, judgment, design, spec-writing, review, and orchestration. Codex types; Claude thinks and verifies.
Route
Delegate to Codex by default for hands-on work:
- implementation from a frozen spec; refactors; mechanical migrations
- bug fixes with a known reproduction; test writing; coverage fills
- CI fixes, dependency bumps, scripts, and tooling
- bulk codebase exploration where raw reading is much larger than the answer
Keep in Claude:
- design, API design, architecture, naming, and UX judgment
- tasks where writing the spec is the work because ambiguity requires design
- tiny edits (roughly fewer than 20 lines in one obvious change), where delegation overhead loses
- anything needing session tools: MCP, browser/computer-use, Chronicle, 1Password, or secrets
- destructive or irreversible operations, releases, pushes, and GitHub mutations; keep these Claude-side under the repository's git rules
- review of Codex output; never delegate or skip review
For a mixed task, Claude designs first, freezes the spec, then delegates the build-out. As a heuristic, if the prompt reads like a work order, delegate it; if writing the prompt forces design decisions, keep the design in Claude.
For portfolio or multi-repository work, use $maintainer-orchestrator instead.
Invoke
Write the prompt and result to unique temporary files; never rely on inline shell quoting or a shared output path:
P=$(mktemp)
OUT=$(mktemp)
ERR=$(mktemp)
trap 'rm -f "$P" "$OUT" "$ERR"' EXIT
cat >"$P" <<'EOF'
<goal, repo and key paths, constraints (including "do not touch X"), non-goals,
proof expected, and output shape>
EOF
if command codex exec --dangerously-bypass-approvals-and-sandbox -C <repo> \
-m gpt-5.6-sol \
-c model_reasoning_effort="high" \
--enable fast_mode \
-o "$OUT" - <"$P" >/dev/null 2>"$ERR"; then
cat "$OUT"
else
cat "$ERR" >&2
exit 1
fi
Pin all three execution settings explicitly rather than relying on user config:
- model:
gpt-5.6-sol - reasoning effort:
high - fast mode: enabled
Operational rules:
- The approval-bypass flag is the house default; Codex may run commands and tests freely. Keep prompts scoped to the target repository.
command codexbypasses an interactive zsh wrapper. If Codex is not onPATH, usefnm exec --using default -- codex.- Suppress routine stdout and stderr because progress noise bloats context. Print only the
-oresult on success; print captured stderr on failure. - For long runs, start the command in the background and read the
-ofile after exit. Do not kill a quiet run before 30 minutes. - Parallel independent tasks are allowed when they use separate repositories or directories. Every run must use its own prompt, result, and error files.
- Outside a git repository, add
--skip-git-repo-check.
For follow-up fixes, resume the existing run. This is cheaper than starting a
fresh run and preserves context. resume has no -C; run it from the
repository directory so --last is scoped to that working tree. Do not run
concurrent Codex sessions in the same directory when a later resume may be
needed.
P2=$(mktemp)
OUT2=$(mktemp)
ERR2=$(mktemp)
trap 'rm -f "$P2" "$OUT2" "$ERR2"' EXIT
cat >"$P2" <<'EOF'
<review findings, required fixes, constraints, proof, and output shape>
EOF
if (cd <repo> && command codex exec resume --last \
--dangerously-bypass-approvals-and-sandbox \
-m gpt-5.6-sol \
-c model_reasoning_effort="high" \
--enable fast_mode \
-o "$OUT2" - <"$P2" >/dev/null 2>"$ERR2"); then
cat "$OUT2"
else
cat "$ERR2" >&2
exit 1
fi
Prompt contract
Codex starts with zero session context. Every prompt must include:
- goal
- exact repository and key paths
- constraints, including files or areas it must not touch
- non-goals
- expected proof, including the exact test command
- output shape, such as “report files changed and test output”
Spec quality determines result quality. Freeze the decisions before delegating.
Verify in Claude
Claude always performs verification:
- Run
git status -sband read the full diff. Judge it like a contributor pull request. - Run focused tests directly or require concrete proof output. Treat Codex's claims as advisory.
- If fixes are needed, iterate with
resume. After two failed repair rounds, take over and implement directly. - Apply the repository's normal closeout process. Run
$autoreviewwhen that skill is available; otherwise perform the same final diff review directly.
Economics
The goal is to move generation and exploration tokens to Codex while Claude spends tokens on the spec and diff review. Do not ping-pong trivia through delegation, and do not re-read material Codex already summarized unless needed to verify correctness.
What ships with it: 12 files
36.4 KB alongside SKILL.md, 3 of them executable
scripts/
- build.tsruns1.2 KB
src/
- app.jsruns1.4 KB
- index.html8.0 KB
- site.css10.7 KB
- typeset.css11.9 KB
tests/
- build.test.tsruns862 B
- .gitignore32 B
- .htmlvalidate.json117 B
- package.json196 B
- README.md711 B
- THIRD_PARTY_NOTICES.md1.2 KB
- vercel.json142 B
Gives 0 of the 12 instructions most context ai engineering skills give in ~1.3k tokens
Counted across 1,193 of the 1,976 authors here whose files we hold, read 2026-08-07
- Dispatch a fresh implementer subagent per taskin 48 of 1193, across 19 files
- Dispatch a final code reviewer after all tasksin 33 of 1193, across 8 files
- Provide full task text to the subagentin 30 of 1193, across 9 files
- Review spec compliance before code qualityin 27 of 1193, across 10 files
- Make the hook script executablein 26 of 1193, across 8 files
- Re-snapshot after navigation or DOM changesin 25 of 1193, across 19 files
- Read files before editing themin 22 of 1193, across 11 files
- Answer subagent questions before proceedingin 22 of 1193, across 7 files
- Mark task complete in TodoWrite after approvalin 22 of 1193, across 6 files
- Merge hook into existing settingsin 21 of 1193, across 3 files
- Ask if installation is global or projectin 20 of 1193, across 2 files
- Copy the hook script to target locationin 20 of 1193, across 2 files
Said here and by no other author read
- use this skill only when the active agent is Claude Code
- delegate implementation work to Codex by default
- keep design and review tasks in Claude
- pin model to gpt-5.6-sol
- set reasoning effort to high
- enable fast mode
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.