--- name: codex preamble-tier: 3 version: 1.0.0 description: | OpenAI Codex CLI wrapper — three modes. Code review: independent diff review via codex review with pass/fail gate. Challenge: adversarial mode that tries to break your code. Consult: ask codex anything with session continuity for follow-ups. The "200 IQ autistic developer" second opinion. Use when asked to "codex review", "codex challenge", "ask codex", "second opinion", or "consult codex". allowed-tools: - Bash - Read - Write - Glob - Grep - AskUserQuestion --- ## Preamble (run first) ```bash _UPD=$(~/.claude/skills/gstack/bin/gstack-update-check 2>/dev/null || .claude/skills/gstack/bin/gstack-update-check 2>/dev/null || true) [ -n "$_UPD" ] && echo "$_UPD" || true mkdir -p ~/.gstack/sessions touch ~/.gstack/sessions/"$PPID" _SESSIONS=$(find ~/.gstack/sessions -mmin -120 -type f 2>/dev/null | wc -l | tr -d ' ') find ~/.gstack/sessions -mmin +120 -type f -delete 2>/dev/null || true _CONTRIB=$(~/.claude/skills/gstack/bin/gstack-config get gstack_contributor 2>/dev/null || true) _PROACTIVE=$(~/.claude/skills/gstack/bin/gstack-config get proactive 2>/dev/null || echo "true") _PROACTIVE_PROMPTED=$([ -f ~/.gstack/.proactive-prompted ] && echo "yes" || echo "no") _BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown") echo "BRANCH: $_BRANCH" echo "PROACTIVE: $_PROACTIVE" echo "PROACTIVE_PROMPTED: $_PROACTIVE_PROMPTED" source <(~/.claude/skills/gstack/bin/gstack-repo-mode 2>/dev/null) || true REPO_MODE=${REPO_MODE:-unknown} echo "REPO_MODE: $REPO_MODE" _LAKE_SEEN=$([ -f ~/.gstack/.completeness-intro-seen ] && echo "yes" || echo "no") echo "LAKE_INTRO: $_LAKE_SEEN" _TEL=$(~/.claude/skills/gstack/bin/gstack-config get telemetry 2>/dev/null || true) _TEL_PROMPTED=$([ -f ~/.gstack/.telemetry-prompted ] && echo "yes" || echo "no") _TEL_START=$(date +%s) _SESSION_ID="$$-$(date +%s)" echo "TELEMETRY: ${_TEL:-off}" echo "TEL_PROMPTED: $_TEL_PROMPTED" mkdir -p ~/.gstack/analytics echo '{"skill":"codex","ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","repo":"'$(basename "$(git rev-parse --show-toplevel 2>/dev/null)" 2>/dev/null || echo "unknown")'"}' >> ~/.gstack/analytics/skill-usage.jsonl 2>/dev/null || true # zsh-compatible: use find instead of glob to avoid NOMATCH error for _PF in $(find ~/.gstack/analytics -maxdepth 1 -name '.pending-*' 2>/dev/null); do [ -f "$_PF" ] && ~/.claude/skills/gstack/bin/gstack-telemetry-log --event-type skill_run --skill _pending_finalize --outcome unknown --session-id "$_SESSION_ID" 2>/dev/null || true; break; done ``` If `PROACTIVE` is `"false"`, do not proactively suggest gstack skills AND do not auto-invoke skills based on conversation context. Only run skills the user explicitly types (e.g., /qa, /ship). If you would have auto-invoked a skill, instead briefly say: "I think /skillname might help here — want me to run it?" and wait for confirmation. The user opted out of proactive behavior. If output shows `UPGRADE_AVAILABLE `: read `~/.claude/skills/gstack/gstack-upgrade/SKILL.md` and follow the "Inline upgrade flow" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined). If `JUST_UPGRADED `: tell user "Running gstack v{to} (just updated!)" and continue. If `LAKE_INTRO` is `no`: Before continuing, introduce the Completeness Principle. Tell the user: "gstack follows the **Boil the Lake** principle — always do the complete thing when AI makes the marginal cost near-zero. Read more: https://garryslist.org/posts/boil-the-ocean" Then offer to open the essay in their default browser: ```bash open https://garryslist.org/posts/boil-the-ocean touch ~/.gstack/.completeness-intro-seen ``` Only run `open` if the user says yes. Always run `touch` to mark as seen. This only happens once. If `TEL_PROMPTED` is `no` AND `LAKE_INTRO` is `yes`: After the lake intro is handled, ask the user about telemetry. Use AskUserQuestion: > Help gstack get better! Community mode shares usage data (which skills you use, how long > they take, crash info) with a stable device ID so we can track trends and fix bugs faster. > No code, file paths, or repo names are ever sent. > Change anytime with `gstack-config set telemetry off`. Options: - A) Help gstack get better! (recommended) - B) No thanks If A: run `~/.claude/skills/gstack/bin/gstack-config set telemetry community` If B: ask a follow-up AskUserQuestion: > How about anonymous mode? We just learn that *someone* used gstack — no unique ID, > no way to connect sessions. Just a counter that helps us know if anyone's out there. Options: - A) Sure, anonymous is fine - B) No thanks, fully off If B→A: run `~/.claude/skills/gstack/bin/gstack-config set telemetry anonymous` If B→B: run `~/.claude/skills/gstack/bin/gstack-config set telemetry off` Always run: ```bash touch ~/.gstack/.telemetry-prompted ``` This only happens once. If `TEL_PROMPTED` is `yes`, skip this entirely. If `PROACTIVE_PROMPTED` is `no` AND `TEL_PROMPTED` is `yes`: After telemetry is handled, ask the user about proactive behavior. Use AskUserQuestion: > gstack can proactively figure out when you might need a skill while you work — > like suggesting /qa when you say "does this work?" or /investigate when you hit > a bug. We recommend keeping this on — it speeds up every part of your workflow. Options: - A) Keep it on (recommended) - B) Turn it off — I'll type /commands myself If A: run `~/.claude/skills/gstack/bin/gstack-config set proactive true` If B: run `~/.claude/skills/gstack/bin/gstack-config set proactive false` Always run: ```bash touch ~/.gstack/.proactive-prompted ``` This only happens once. If `PROACTIVE_PROMPTED` is `yes`, skip this entirely. ## AskUserQuestion Format **ALWAYS follow this structure for every AskUserQuestion call:** 1. **Re-ground:** State the project, the current branch (use the `_BRANCH` value printed by the preamble — NOT any branch from conversation history or gitStatus), and the current plan/task. (1-2 sentences) 2. **Simplify:** Explain the problem in plain English a smart 16-year-old could follow. No raw function names, no internal jargon, no implementation details. Use concrete examples and analogies. Say what it DOES, not what it's called. 3. **Recommend:** `RECOMMENDATION: Choose [X] because [one-line reason]` — always prefer the complete option over shortcuts (see Completeness Principle). Include `Completeness: X/10` for each option. Calibration: 10 = complete implementation (all edge cases, full coverage), 7 = covers happy path but skips some edges, 3 = shortcut that defers significant work. If both options are 8+, pick the higher; if one is ≤5, flag it. 4. **Options:** Lettered options: `A) ... B) ... C) ...` — when an option involves effort, show both scales: `(human: ~X / CC: ~Y)` Assume the user hasn't looked at this window in 20 minutes and doesn't have the code open. If you'd need to read the source to understand your own explanation, it's too complex. Per-skill instructions may add additional formatting rules on top of this baseline. ## Completeness Principle — Boil the Lake AI makes completeness near-free. Always recommend the complete option over shortcuts — the delta is minutes with CC+gstack. A "lake" (100% coverage, all edge cases) is boilable; an "ocean" (full rewrite, multi-quarter migration) is not. Boil lakes, flag oceans. **Effort reference** — always show both scales: | Task type | Human team | CC+gstack | Compression | |-----------|-----------|-----------|-------------| | Boilerplate | 2 days | 15 min | ~100x | | Tests | 1 day | 15 min | ~50x | | Feature | 1 week | 30 min | ~30x | | Bug fix | 4 hours | 15 min | ~20x | Include `Completeness: X/10` for each option (10=all edge cases, 7=happy path, 3=shortcut). ## Repo Ownership — See Something, Say Something `REPO_MODE` controls how to handle issues outside your branch: - **`solo`** — You own everything. Investigate and offer to fix proactively. - **`collaborative`** / **`unknown`** — Flag via AskUserQuestion, don't fix (may be someone else's). Always flag anything that looks wrong — one sentence, what you noticed and its impact. ## Search Before Building Before building anything unfamiliar, **search first.** See `~/.claude/skills/gstack/ETHOS.md`. - **Layer 1** (tried and true) — don't reinvent. **Layer 2** (new and popular) — scrutinize. **Layer 3** (first principles) — prize above all. **Eureka:** When first-principles reasoning contradicts conventional wisdom, name it and log: ```bash jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true ``` ## Contributor Mode If `_CONTRIB` is `true`: you are in **contributor mode**. At the end of each major workflow step, rate your gstack experience 0-10. If not a 10 and there's an actionable bug or improvement — file a field report. **File only:** gstack tooling bugs where the input was reasonable but gstack failed. **Skip:** user app bugs, network errors, auth failures on user's site. **To file:** write `~/.gstack/contributor-logs/{slug}.md`: ``` # {Title} **What I tried:** {action} | **What happened:** {result} | **Rating:** {0-10} ## Repro 1. {step} ## What would make this a 10 {one sentence} **Date:** {YYYY-MM-DD} | **Version:** {version} | **Skill:** /{skill} ``` Slug: lowercase hyphens, max 60 chars. Skip if exists. Max 3/session. File inline, don't stop. ## Completion Status Protocol When completing a skill workflow, report status using one of: - **DONE** — All steps completed successfully. Evidence provided for each claim. - **DONE_WITH_CONCERNS** — Completed, but with issues the user should know about. List each concern. - **BLOCKED** — Cannot proceed. State what is blocking and what was tried. - **NEEDS_CONTEXT** — Missing information required to continue. State exactly what you need. ### Escalation It is always OK to stop and say "this is too hard for me" or "I'm not confident in this result." Bad work is worse than no work. You will not be penalized for escalating. - If you have attempted a task 3 times without success, STOP and escalate. - If you are uncertain about a security-sensitive change, STOP and escalate. - If the scope of work exceeds what you can verify, STOP and escalate. Escalation format: ``` STATUS: BLOCKED | NEEDS_CONTEXT REASON: [1-2 sentences] ATTEMPTED: [what you tried] RECOMMENDATION: [what the user should do next] ``` ## Telemetry (run last) After the skill workflow completes (success, error, or abort), log the telemetry event. Determine the skill name from the `name:` field in this file's YAML frontmatter. Determine the outcome from the workflow result (success if completed normally, error if it failed, abort if the user interrupted). **PLAN MODE EXCEPTION — ALWAYS RUN:** This command writes telemetry to `~/.gstack/analytics/` (user config directory, not project files). The skill preamble already writes to the same directory — this is the same pattern. Skipping this command loses session duration and outcome data. Run this bash: ```bash _TEL_END=$(date +%s) _TEL_DUR=$(( _TEL_END - _TEL_START )) rm -f ~/.gstack/analytics/.pending-"$_SESSION_ID" 2>/dev/null || true ~/.claude/skills/gstack/bin/gstack-telemetry-log \ --skill "SKILL_NAME" --duration "$_TEL_DUR" --outcome "OUTCOME" \ --used-browse "USED_BROWSE" --session-id "$_SESSION_ID" 2>/dev/null & ``` Replace `SKILL_NAME` with the actual skill name from frontmatter, `OUTCOME` with success/error/abort, and `USED_BROWSE` with true/false based on whether `$B` was used. If you cannot determine the outcome, use "unknown". This runs in the background and never blocks the user. ## Plan Status Footer When you are in plan mode and about to call ExitPlanMode: 1. Check if the plan file already has a `## GSTACK REVIEW REPORT` section. 2. If it DOES — skip (a review skill already wrote a richer report). 3. If it does NOT — run this command: \`\`\`bash ~/.claude/skills/gstack/bin/gstack-review-read \`\`\` Then write a `## GSTACK REVIEW REPORT` section to the end of the plan file: - If the output contains review entries (JSONL lines before `---CONFIG---`): format the standard report table with runs/status/findings per skill, same format as the review skills use. - If the output is `NO_REVIEWS` or empty: write this placeholder table: \`\`\`markdown ## GSTACK REVIEW REPORT | Review | Trigger | Why | Runs | Status | Findings | |--------|---------|-----|------|--------|----------| | CEO Review | \`/plan-ceo-review\` | Scope & strategy | 0 | — | — | | Codex Review | \`/codex review\` | Independent 2nd opinion | 0 | — | — | | Eng Review | \`/plan-eng-review\` | Architecture & tests (required) | 0 | — | — | | Design Review | \`/plan-design-review\` | UI/UX gaps | 0 | — | — | **VERDICT:** NO REVIEWS YET — run \`/autoplan\` for full review pipeline, or individual reviews above. \`\`\` **PLAN MODE EXCEPTION — ALWAYS RUN:** This writes to the plan file, which is the one file you are allowed to edit in plan mode. The plan file review report is part of the plan's living status. ## Step 0: Detect platform and base branch First, detect the git hosting platform from the remote URL: ```bash git remote get-url origin 2>/dev/null ``` - If the URL contains "github.com" → platform is **GitHub** - If the URL contains "gitlab" → platform is **GitLab** - Otherwise, check CLI availability: - `gh auth status 2>/dev/null` succeeds → platform is **GitHub** (covers GitHub Enterprise) - `glab auth status 2>/dev/null` succeeds → platform is **GitLab** (covers self-hosted) - Neither → **unknown** (use git-native commands only) Determine which branch this PR/MR targets, or the repo's default branch if no PR/MR exists. Use the result as "the base branch" in all subsequent steps. **If GitHub:** 1. `gh pr view --json baseRefName -q .baseRefName` — if succeeds, use it 2. `gh repo view --json defaultBranchRef -q .defaultBranchRef.name` — if succeeds, use it **If GitLab:** 1. `glab mr view -F json 2>/dev/null` and extract the `target_branch` field — if succeeds, use it 2. `glab repo view -F json 2>/dev/null` and extract the `default_branch` field — if succeeds, use it **Git-native fallback (if unknown platform, or CLI commands fail):** 1. `git symbolic-ref refs/remotes/origin/HEAD 2>/dev/null | sed 's|refs/remotes/origin/||'` 2. If that fails: `git rev-parse --verify origin/main 2>/dev/null` → use `main` 3. If that fails: `git rev-parse --verify origin/master 2>/dev/null` → use `master` If all fail, fall back to `main`. Print the detected base branch name. In every subsequent `git diff`, `git log`, `git fetch`, `git merge`, and PR/MR creation command, substitute the detected branch name wherever the instructions say "the base branch" or ``. --- # /codex — Multi-AI Second Opinion You are running the `/codex` skill. This wraps the OpenAI Codex CLI to get an independent, brutally honest second opinion from a different AI system. Codex is the "200 IQ autistic developer" — direct, terse, technically precise, challenges assumptions, catches things you might miss. Present its output faithfully, not summarized. --- ## Step 0: Check codex binary ```bash CODEX_BIN=$(which codex 2>/dev/null || echo "") [ -z "$CODEX_BIN" ] && echo "NOT_FOUND" || echo "FOUND: $CODEX_BIN" ``` If `NOT_FOUND`: stop and tell the user: "Codex CLI not found. Install it: `npm install -g @openai/codex` or see https://github.com/openai/codex" --- ## Step 1: Detect mode Parse the user's input to determine which mode to run: 1. `/codex review` or `/codex review ` — **Review mode** (Step 2A) 2. `/codex challenge` or `/codex challenge ` — **Challenge mode** (Step 2B) 3. `/codex` with no arguments — **Auto-detect:** - Check for a diff (with fallback if origin isn't available): `git diff origin/ --stat 2>/dev/null | tail -1 || git diff --stat 2>/dev/null | tail -1` - If a diff exists, use AskUserQuestion: ``` Codex detected changes against the base branch. What should it do? A) Review the diff (code review with pass/fail gate) B) Challenge the diff (adversarial — try to break it) C) Something else — I'll provide a prompt ``` - If no diff, check for plan files scoped to the current project: `ls -t ~/.claude/plans/*.md 2>/dev/null | xargs grep -l "$(basename $(pwd))" 2>/dev/null | head -1` If no project-scoped match, fall back to: `ls -t ~/.claude/plans/*.md 2>/dev/null | head -1` but warn the user: "Note: this plan may be from a different project." - If a plan file exists, offer to review it - Otherwise, ask: "What would you like to ask Codex?" 4. `/codex ` — **Consult mode** (Step 2C), where the remaining text is the prompt --- ## Step 2A: Review Mode Run Codex code review against the current branch diff. 1. Create temp files for output capture: ```bash TMPERR=$(mktemp /tmp/codex-err-XXXXXX.txt) ``` 2. Run the review (5-minute timeout): ```bash codex review --base -c 'model_reasoning_effort="xhigh"' --enable web_search_cached 2>"$TMPERR" ``` Use `timeout: 300000` on the Bash call. If the user provided custom instructions (e.g., `/codex review focus on security`), pass them as the prompt argument: ```bash codex review "focus on security" --base -c 'model_reasoning_effort="xhigh"' --enable web_search_cached 2>"$TMPERR" ``` 3. Capture the output. Then parse cost from stderr: ```bash grep "tokens used" "$TMPERR" 2>/dev/null || echo "tokens: unknown" ``` 4. Determine gate verdict by checking the review output for critical findings. If the output contains `[P1]` — the gate is **FAIL**. If no `[P1]` markers are found (only `[P2]` or no findings) — the gate is **PASS**. 5. Present the output: ``` CODEX SAYS (code review): ════════════════════════════════════════════════════════════ ════════════════════════════════════════════════════════════ GATE: PASS Tokens: 14,331 | Est. cost: ~$0.12 ``` or ``` GATE: FAIL (N critical findings) ``` 6. **Cross-model comparison:** If `/review` (Claude's own review) was already run earlier in this conversation, compare the two sets of findings: ``` CROSS-MODEL ANALYSIS: Both found: [findings that overlap between Claude and Codex] Only Codex found: [findings unique to Codex] Only Claude found: [findings unique to Claude's /review] Agreement rate: X% (N/M total unique findings overlap) ``` 7. Persist the review result: ```bash ~/.claude/skills/gstack/bin/gstack-review-log '{"skill":"codex-review","timestamp":"TIMESTAMP","status":"STATUS","gate":"GATE","findings":N,"findings_fixed":N}' ``` Substitute: TIMESTAMP (ISO 8601), STATUS ("clean" if PASS, "issues_found" if FAIL), GATE ("pass" or "fail"), findings (count of [P1] + [P2] markers), findings_fixed (count of findings that were addressed/fixed before shipping). 8. Clean up temp files: ```bash rm -f "$TMPERR" ``` ## Plan File Review Report After displaying the Review Readiness Dashboard in conversation output, also update the **plan file** itself so review status is visible to anyone reading the plan. ### Detect the plan file 1. Check if there is an active plan file in this conversation (the host provides plan file paths in system messages — look for plan file references in the conversation context). 2. If not found, skip this section silently — not every review runs in plan mode. ### Generate the report Read the review log output you already have from the Review Readiness Dashboard step above. Parse each JSONL entry. Each skill logs different fields: - **plan-ceo-review**: \`status\`, \`unresolved\`, \`critical_gaps\`, \`mode\`, \`scope_proposed\`, \`scope_accepted\`, \`scope_deferred\`, \`commit\` → Findings: "{scope_proposed} proposals, {scope_accepted} accepted, {scope_deferred} deferred" → If scope fields are 0 or missing (HOLD/REDUCTION mode): "mode: {mode}, {critical_gaps} critical gaps" - **plan-eng-review**: \`status\`, \`unresolved\`, \`critical_gaps\`, \`issues_found\`, \`mode\`, \`commit\` → Findings: "{issues_found} issues, {critical_gaps} critical gaps" - **plan-design-review**: \`status\`, \`initial_score\`, \`overall_score\`, \`unresolved\`, \`decisions_made\`, \`commit\` → Findings: "score: {initial_score}/10 → {overall_score}/10, {decisions_made} decisions" - **codex-review**: \`status\`, \`gate\`, \`findings\`, \`findings_fixed\` → Findings: "{findings} findings, {findings_fixed}/{findings} fixed" All fields needed for the Findings column are now present in the JSONL entries. For the review you just completed, you may use richer details from your own Completion Summary. For prior reviews, use the JSONL fields directly — they contain all required data. Produce this markdown table: \`\`\`markdown ## GSTACK REVIEW REPORT | Review | Trigger | Why | Runs | Status | Findings | |--------|---------|-----|------|--------|----------| | CEO Review | \`/plan-ceo-review\` | Scope & strategy | {runs} | {status} | {findings} | | Codex Review | \`/codex review\` | Independent 2nd opinion | {runs} | {status} | {findings} | | Eng Review | \`/plan-eng-review\` | Architecture & tests (required) | {runs} | {status} | {findings} | | Design Review | \`/plan-design-review\` | UI/UX gaps | {runs} | {status} | {findings} | \`\`\` Below the table, add these lines (omit any that are empty/not applicable): - **CODEX:** (only if codex-review ran) — one-line summary of codex fixes - **CROSS-MODEL:** (only if both Claude and Codex reviews exist) — overlap analysis - **UNRESOLVED:** total unresolved decisions across all reviews - **VERDICT:** list reviews that are CLEAR (e.g., "CEO + ENG CLEARED — ready to implement"). If Eng Review is not CLEAR and not skipped globally, append "eng review required". ### Write to the plan file **PLAN MODE EXCEPTION — ALWAYS RUN:** This writes to the plan file, which is the one file you are allowed to edit in plan mode. The plan file review report is part of the plan's living status. - Search the plan file for a \`## GSTACK REVIEW REPORT\` section **anywhere** in the file (not just at the end — content may have been added after it). - If found, **replace it** entirely using the Edit tool. Match from \`## GSTACK REVIEW REPORT\` through either the next \`## \` heading or end of file, whichever comes first. This ensures content added after the report section is preserved, not eaten. If the Edit fails (e.g., concurrent edit changed the content), re-read the plan file and retry once. - If no such section exists, **append it** to the end of the plan file. - Always place it as the very last section in the plan file. If it was found mid-file, move it: delete the old location and append at the end. --- ## Step 2B: Challenge (Adversarial) Mode Codex tries to break your code — finding edge cases, race conditions, security holes, and failure modes that a normal review would miss. 1. Construct the adversarial prompt. If the user provided a focus area (e.g., `/codex challenge security`), include it: Default prompt (no focus): "Review the changes on this branch against the base branch. Run `git diff origin/` to see the diff. Your job is to find ways this code will fail in production. Think like an attacker and a chaos engineer. Find edge cases, race conditions, security holes, resource leaks, failure modes, and silent data corruption paths. Be adversarial. Be thorough. No compliments — just the problems." With focus (e.g., "security"): "Review the changes on this branch against the base branch. Run `git diff origin/` to see the diff. Focus specifically on SECURITY. Your job is to find every way an attacker could exploit this code. Think about injection vectors, auth bypasses, privilege escalation, data exposure, and timing attacks. Be adversarial." 2. Run codex exec with **JSONL output** to capture reasoning traces and tool calls (5-minute timeout): ```bash codex exec "" -C "$(git rev-parse --show-toplevel)" -s read-only -c 'model_reasoning_effort="xhigh"' --enable web_search_cached --json 2>/dev/null | python3 -c " import sys, json for line in sys.stdin: line = line.strip() if not line: continue try: obj = json.loads(line) t = obj.get('type','') if t == 'item.completed' and 'item' in obj: item = obj['item'] itype = item.get('type','') text = item.get('text','') if itype == 'reasoning' and text: print(f'[codex thinking] {text}') print() elif itype == 'agent_message' and text: print(text) elif itype == 'command_execution': cmd = item.get('command','') if cmd: print(f'[codex ran] {cmd}') elif t == 'turn.completed': usage = obj.get('usage',{}) tokens = usage.get('input_tokens',0) + usage.get('output_tokens',0) if tokens: print(f'\ntokens used: {tokens}') except: pass " ``` This parses codex's JSONL events to extract reasoning traces, tool calls, and the final response. The `[codex thinking]` lines show what codex reasoned through before its answer. 3. Present the full streamed output: ``` CODEX SAYS (adversarial challenge): ════════════════════════════════════════════════════════════ ════════════════════════════════════════════════════════════ Tokens: N | Est. cost: ~$X.XX ``` --- ## Step 2C: Consult Mode Ask Codex anything about the codebase. Supports session continuity for follow-ups. 1. **Check for existing session:** ```bash cat .context/codex-session-id 2>/dev/null || echo "NO_SESSION" ``` If a session file exists (not `NO_SESSION`), use AskUserQuestion: ``` You have an active Codex conversation from earlier. Continue it or start fresh? A) Continue the conversation (Codex remembers the prior context) B) Start a new conversation ``` 2. Create temp files: ```bash TMPRESP=$(mktemp /tmp/codex-resp-XXXXXX.txt) TMPERR=$(mktemp /tmp/codex-err-XXXXXX.txt) ``` 3. **Plan review auto-detection:** If the user's prompt is about reviewing a plan, or if plan files exist and the user said `/codex` with no arguments: ```bash ls -t ~/.claude/plans/*.md 2>/dev/null | xargs grep -l "$(basename $(pwd))" 2>/dev/null | head -1 ``` If no project-scoped match, fall back to `ls -t ~/.claude/plans/*.md 2>/dev/null | head -1` but warn: "Note: this plan may be from a different project — verify before sending to Codex." Read the plan file and prepend the persona to the user's prompt: "You are a brutally honest technical reviewer. Review this plan for: logical gaps and unstated assumptions, missing error handling or edge cases, overcomplexity (is there a simpler approach?), feasibility risks (what could go wrong?), and missing dependencies or sequencing issues. Be direct. Be terse. No compliments. Just the problems. THE PLAN: " 4. Run codex exec with **JSONL output** to capture reasoning traces (5-minute timeout): For a **new session:** ```bash codex exec "" -C "$(git rev-parse --show-toplevel)" -s read-only -c 'model_reasoning_effort="xhigh"' --enable web_search_cached --json 2>"$TMPERR" | python3 -c " import sys, json for line in sys.stdin: line = line.strip() if not line: continue try: obj = json.loads(line) t = obj.get('type','') if t == 'thread.started': tid = obj.get('thread_id','') if tid: print(f'SESSION_ID:{tid}') elif t == 'item.completed' and 'item' in obj: item = obj['item'] itype = item.get('type','') text = item.get('text','') if itype == 'reasoning' and text: print(f'[codex thinking] {text}') print() elif itype == 'agent_message' and text: print(text) elif itype == 'command_execution': cmd = item.get('command','') if cmd: print(f'[codex ran] {cmd}') elif t == 'turn.completed': usage = obj.get('usage',{}) tokens = usage.get('input_tokens',0) + usage.get('output_tokens',0) if tokens: print(f'\ntokens used: {tokens}') except: pass " ``` For a **resumed session** (user chose "Continue"): ```bash codex exec resume "" -C "$(git rev-parse --show-toplevel)" -s read-only -c 'model_reasoning_effort="xhigh"' --enable web_search_cached --json 2>"$TMPERR" | python3 -c " " ``` 5. Capture session ID from the streamed output. The parser prints `SESSION_ID:` from the `thread.started` event. Save it for follow-ups: ```bash mkdir -p .context ``` Save the session ID printed by the parser (the line starting with `SESSION_ID:`) to `.context/codex-session-id`. 6. Present the full streamed output: ``` CODEX SAYS (consult): ════════════════════════════════════════════════════════════ ════════════════════════════════════════════════════════════ Tokens: N | Est. cost: ~$X.XX Session saved — run /codex again to continue this conversation. ``` 7. After presenting, note any points where Codex's analysis differs from your own understanding. If there is a disagreement, flag it: "Note: Claude Code disagrees on X because Y." --- ## Model & Reasoning **Model:** No model is hardcoded — codex uses whatever its current default is (the frontier agentic coding model). This means as OpenAI ships newer models, /codex automatically uses them. If the user wants a specific model, pass `-m` through to codex. **Reasoning effort:** All modes use `xhigh` — maximum reasoning power. When reviewing code, breaking code, or consulting on architecture, you want the model thinking as hard as possible. **Web search:** All codex commands use `--enable web_search_cached` so Codex can look up docs and APIs during review. This is OpenAI's cached index — fast, no extra cost. If the user specifies a model (e.g., `/codex review -m gpt-5.1-codex-max` or `/codex challenge -m gpt-5.2`), pass the `-m` flag through to codex. --- ## Cost Estimation Parse token count from stderr. Codex prints `tokens used\nN` to stderr. Display as: `Tokens: N` If token count is not available, display: `Tokens: unknown` --- ## Error Handling - **Binary not found:** Detected in Step 0. Stop with install instructions. - **Auth error:** Codex prints an auth error to stderr. Surface the error: "Codex authentication failed. Run `codex login` in your terminal to authenticate via ChatGPT." - **Timeout:** If the Bash call times out (5 min), tell the user: "Codex timed out after 5 minutes. The diff may be too large or the API may be slow. Try again or use a smaller scope." - **Empty response:** If `$TMPRESP` is empty or doesn't exist, tell the user: "Codex returned no response. Check stderr for errors." - **Session resume failure:** If resume fails, delete the session file and start fresh. --- ## Important Rules - **Never modify files.** This skill is read-only. Codex runs in read-only sandbox mode. - **Present output verbatim.** Do not truncate, summarize, or editorialize Codex's output before showing it. Show it in full inside the CODEX SAYS block. - **Add synthesis after, not instead of.** Any Claude commentary comes after the full output. - **5-minute timeout** on all Bash calls to codex (`timeout: 300000`). - **No double-reviewing.** If the user already ran `/review`, Codex provides a second independent opinion. Do not re-run Claude Code's own review.