consult-codex
GitHub协调OpenAI Codex与Claude Code-Searcher进行双AI代码分析,提供多视角对比、审查及复杂问题诊断。适用于需要交叉验证的架构设计、Bug排查和代码审查场景。
Trigger Scenarios
Install
npx skills add centminmod/my-claude-code-setup --skill consult-codex -g -y
SKILL.md
Frontmatter
{
"name": "consult-codex",
"description": "Dual-AI code analysis pairing OpenAI Codex with Claude code-searcher — the lightest consult variant, two citation-verified perspectives. Use for a quick second opinion on a code question."
}
Dual-AI Consultation: Codex vs Code-Searcher
You orchestrate consultation between OpenAI's Codex and Claude's code-searcher to provide comprehensive analysis with comparison.
When to Use This Skill
High value queries:
- Complex code analysis requiring multiple perspectives
- Debugging difficult issues
- Architecture/design questions
- Code review requests
- Finding specific implementations across a codebase
Lower value (single AI may suffice):
- Simple syntax questions
- Basic file lookups
- Straightforward documentation queries
Workflow
When the user asks a code question:
1. Build Enhanced Prompt
Problem-restate pre-flight (non-blocking). Before building the prompt, emit ONE line restating the code question you are about to dispatch (and, only if genuinely ambiguous, the alternative reading), then proceed:
Reading this as: «one-line restatement» (alt: «other reading», if any) — proceeding to consult; interrupt now to correct the framing.
Emit-and-proceed — do not ask-and-wait (the orchestrator can't reliably detect its own misframing). One line, and it guards the whole dispatch against a wrong-framing run.
Wrap the user's question with structured output requirements:
[USER_QUESTION]
=== Analysis Guidelines ===
**Structure your response with:**
1. **Summary:** 2-3 sentence overview
2. **Key Findings:** bullet points of discoveries
3. **Evidence:** file paths with line numbers (format: `file:line` or `file:start-end`)
4. **Confidence:** High/Medium/Low with reasoning
5. **Limitations:** what couldn't be determined
**Line Number Requirements:**
- ALWAYS include specific line numbers when referencing code
- Use format: `path/to/file.ext:42` or `path/to/file.ext:42-58`
- For multiple references: list each on a SEPARATE line with its own file path
(avoid comma-separated multi-citation like `file.ts:45, 67, 98`)
- Include brief code snippets for key findings
**Examples of good citations:**
- "The authentication check at `src/auth/validate.ts:127-134`"
- "Configuration loaded from `config/settings.json:15`"
- "Error handling in `lib/errors.ts:45`, `lib/errors.ts:67-72`, and `lib/errors.ts:98`"
**Citations Index (required):** end your response with a fenced block, one line per
Key Finding (repeat each block entry's `file:line` inline in the finding as usual):
```citations
<finding #> — path/to/file.ext:LINE[-END]
```
Severity / no-manufacture block — ORCHESTRATOR-GATED. Append the block below to both agents' prompts identically ONLY when the query is a defect hunt / code review (bug, security audit, "what's wrong with…", "review this"). OMIT it for explanatory / "how does X work" questions, where "found nothing" is not meaningful. The orchestrator — which knows the query type — makes this include/omit decision once, BEFORE writing the prompt files; do not leave it to each agent to self-classify. When included, append exactly these two bullets (the text only — no leading marker):
- Tag each finding with a **Severity** — Critical (wrong/broken on expected inputs) · Warning (fails on unusual but valid inputs) · Info (noteworthy, not actionable). Severity is *impact*, orthogonal to the Confidence field (*certainty*).
- **Finding nothing is a valid, valuable result.** If the code is correct, say so plainly with one verifying note — do NOT manufacture issues to look thorough.
2. Invoke Both Analyses in Parallel
Setup (run first). $CLAUDE_PROJECT_DIR is not always exported into the Bash
tool shell, so resolve it with a $PWD fallback and ensure the tmp dir exists.
Substitute the resolved literal path for $PROJECT_DIR, and a freshly generated
RUN_ID (seconds-resolution + 4-char nonce, e.g. run-2026-05-25-143052-a7f3),
into every command below. The RUN_ID in temp filenames prevents collisions
between two concurrent invocations sharing $PROJECT_DIR/tmp.
PROJECT_DIR="${CLAUDE_PROJECT_DIR:-$PWD}"
# Validate BEFORE creating tmp — `mkdir -p` would otherwise make the check pass even
# for a bad path (it creates the dir, then `[ -d ]` always succeeds).
[ -d "$PROJECT_DIR" ] || { echo "ERROR: PROJECT_DIR '$PROJECT_DIR' is not a directory" >&2; exit 1; }
mkdir -p "$PROJECT_DIR/tmp"
# Pre-flight (fail fast, not after a 10-min hang). jq is a HARD dependency — output
# parsing needs it — so abort now rather than warn-and-continue into opaque failures.
command -v jq >/dev/null 2>&1 || { echo "ERROR: 'jq' not found — required for output parsing; aborting" >&2; exit 1; }
# codex is a soft dependency — the CODEX_BIN resilience block below resolves or SKIPs it.
command -v codex >/dev/null 2>&1 || \
zsh -i -c "type codex" >/dev/null 2>&1 || \
bash -i -c "type codex" >/dev/null 2>&1 || \
echo "WARNING: 'codex' not found — will attempt nvm resolution below, else SKIP"
# Sweep stale orphans (>60 min) from crashed prior runs (best-effort, age-based —
# can theoretically delete a live run's files if it paused >60 min; acceptable).
find "$PROJECT_DIR/tmp" -maxdepth 1 -name '*-prompt-*.txt' -mmin +60 -delete 2>/dev/null
find "$PROJECT_DIR/tmp" -maxdepth 1 -name '*-output-*.jsonl' -mmin +60 -delete 2>/dev/null
Codex binary resilience (run once, before dispatch). An nvm-managed codex
can be a symlink whose @openai/codex install is broken (deleted vendor binary →
spawn ... ENOENT), and a broken version can sit EARLIER on PATH than a working
one. command -v / zsh -i return the broken path, so detect by RUNNING the
binary. If the PATH-resolved codex fails, hunt all nvm node installs for one whose
--version succeeds and emit its absolute path. Emit CODEX_BIN=SKIP if none work.
CODEX_BIN=""; INTERACTIVE_SHELL=zsh
# Capture WHICH interactive shell resolves codex (nvm may be in only one of
# ~/.zshrc / ~/.bashrc). The dispatch below uses $INTERACTIVE_SHELL so a
# .bashrc-only setup on macOS still works (prior bug: probe accepted bash,
# dispatch hardcoded zsh).
if zsh -i -c 'codex --version' >/dev/null 2>&1; then CODEX_BIN="codex"; INTERACTIVE_SHELL=zsh # codex resolves via zsh
elif bash -i -c 'codex --version' >/dev/null 2>&1; then CODEX_BIN="codex"; INTERACTIVE_SHELL=bash # codex resolves via bash
else
# Match symlinks too (-type l): nvm/npm install codex as a bin/ symlink, which -type f misses.
CODEX_BIN=$(find "$HOME/.nvm/versions/node" -maxdepth 5 -name codex \( -type f -o -type l \) 2>/dev/null | while IFS= read -r p; do
"$p" --version >/dev/null 2>&1 && { printf '%s\n' "$p"; break; }
done)
[ -z "$CODEX_BIN" ] && CODEX_BIN="SKIP"
fi
echo "CODEX_BIN=$CODEX_BIN" # MUST echo: shell vars don't persist across Bash tool calls
echo "INTERACTIVE_SHELL=$INTERACTIVE_SHELL" # the interactive shell that resolves codex; substitute into the dispatch below
# Resolve the timeout binary used to wrap the Codex gen dispatch (§Step 2 below) so a
# hung CLI is bounded rather than running unbounded — the harness may auto-background
# the dispatch, letting it escape the Bash tool's own timeout. Probe BOTH names:
# Homebrew coreutils installs GNU timeout as `gtimeout`; plain `timeout` exists only
# when the coreutils gnubin PATH is on. If neither exists, TIMEOUT_CMD stays empty and
# the dispatch runs UNWRAPPED (best-effort Bash-tool timeout; `brew install coreutils`
# restores the hard guard).
TIMEOUT_CMD=""
if command -v timeout >/dev/null 2>&1; then TIMEOUT_CMD="timeout"
elif command -v gtimeout >/dev/null 2>&1; then TIMEOUT_CMD="gtimeout"
fi
echo "TIMEOUT_CMD=$TIMEOUT_CMD" # substitute into the §Step-2 Codex dispatch (when empty: omit the wrap)
Two-phase dispatch (required). Tool calls in one message run concurrently, so emitting the Codex prompt-file Write and the Codex dispatch together races the dispatch ahead of the file (Codex errors on a missing prompt file). Use two messages: message 1 writes the Codex prompt file (Step 1 below); message 2 issues the Codex dispatch (Step 2) and the Code-Searcher Agent call in parallel:
Gen-dispatch timeout watchdog (GEN_TIMEOUT=1200). Each $TIMEOUT_CMD -k 10 1200-prefixed CLI gen below — SIGTERM at 1200s (20 min), SIGKILL 10s later (-k 10, which also reaps orphaned Node/MCP children) — is bounded against a hung provider CLI that would otherwise run unbounded (the harness may auto-background the dispatch, so the Bash tool's own timeout is not a reliable cap). When TIMEOUT_CMD is empty (no timeout/gtimeout): omit the $TIMEOUT_CMD -k 10 1200 prefix and dispatch unwrapped (the existing §Setup fallback) — set the Bash tool's own timeout parameter to 1300000 ms as a best-effort cap, and brew install coreutils to restore the hard guard. On a timed-out gen (exit 124 = SIGTERM, 137 = SIGKILL): the output file is empty/truncated, so the existing [ -z … ] parse guard already drops the agent — additionally surface Agent X timed out after 1200s (distinct from an auth failure, which leaves non-empty stderr) and re-count against the §Setup minimum-agent guard. Do not retry. Code-Searcher (Agent tool) carries no $TIMEOUT_CMD -k 10 1200 prefix — it is bounded by its own mechanism, not this watchdog.
-
For Codex:
Model ownership — the model is CONFIG-OWNED, never named by this skill. Do not pass
-m: inherit the model and reasoning effort from Codex configuration (~/.codex/config.toml— this installation is configured forgpt-5.6-sol, high effort). Report the agent as plain "Codex" everywhere in the report; never a hardcoded version string. A hardcoded label silently misreports the model the moment the config changes: this skill advertisedGPT-5.6-terrain seven places while every dispatch had been runninggpt-5.6-sol, because the dispatch carries no-mand never did (corrected 2026-08-01).Step 1: Write the enhanced prompt to a temp file using the Write tool:
Write to $PROJECT_DIR/tmp/codex-prompt-RUN_ID.txt with the ENHANCED_PROMPT contentStep 2: Execute Codex (allow ~10 min; Codex can be slow). Pipe the prompt via stdin and capture the JSONL event stream to a file.
Pick the form based on
CODEX_BINfrom Setup:CODEX_BIN=codex→ use the interactive-shell form below ($INTERACTIVE_SHELLresolved in Setup).CODEX_BINis an absolute path → use the absolute-path form (calls the binary directly so PATH ordering can't shadow it again).CODEX_BIN=SKIP→ no working codex; skip this dispatch, present only the Code-Searcher response. Label the report a degraded single-AI run — Code-Searcher is the sole agent, so there is no cross-comparison — and note that a direct Read or a lighter path would have been cheaper. Record the skip in §4 (error handling) / §5 (comparison report).
macOS/Linux (
CODEX_BIN=codex;$INTERACTIVE_SHELL= thezsh|bashliteral resolved in Setup):cat "$PROJECT_DIR/tmp/codex-prompt-RUN_ID.txt" \ | $TIMEOUT_CMD -k 10 1200 $INTERACTIVE_SHELL -i -c "codex exec -s read-only --json -C '$PROJECT_DIR' 2>&1" \ > "$PROJECT_DIR/tmp/codex-output-RUN_ID.jsonl"Absolute-path (
CODEX_BINresolved to a path — macOS & Linux): substitute the literal absolute path forCODEX_BIN_LITERAL; no shell wrapper needed.cat "$PROJECT_DIR/tmp/codex-prompt-RUN_ID.txt" \ | $TIMEOUT_CMD -k 10 1200 CODEX_BIN_LITERAL exec -s read-only --json -C "$PROJECT_DIR" \ > "$PROJECT_DIR/tmp/codex-output-RUN_ID.jsonl" 2>&1Why this exact form (each piece prevents a failure seen in practice):
-s read-onlyis the portable Codex sandbox flag — it needs no~/.codex/config.toml[profiles.readonly]entry, unlike-p readonly(which silently misbehaves when that profile is absent).- stdin pipe (
cat … | …) instead of"$(cat …)"avoids theReading additional input from stdin...hang (Codex waits on stdin when the prompt is passed as a positional) and ARG_MAX limits on large prompts. -C '$PROJECT_DIR'— outer-shell single-quote expansion of an absolute path — gives Codex project context. Do NOT pass the dir via an inner-shell positional (-C "$0"/literal placeholders): besides being fragile, a skill loaded WITH user arguments has its$0/$1/$2rewritten by Claude Code's argument substitution, so a wrong-bound$0produces a crypticError: No such file or directory (os error 2).
Parse
$PROJECT_DIR/tmp/codex-output-RUN_ID.jsonlwith the §2a recipes. -
For Code-Searcher: Use Agent tool with
subagent_type: "code-searcher"with the same enhanced prompt (plus the orchestrator-gated Severity block above on defect-hunt runs)- No sub-agent fan-out — append this VERBATIM to the code-searcher prompt: "Do this analysis YOURSELF — do NOT spawn sub-agents. Do not use the Agent/Task tool to fan out to
code-searcher,Explore,general-purpose, or any other subagent; use Read/Grep/Glob/Bash directly, however many calls that takes." Code-searcher runs with all tools and fans out unprompted on Sonnet 5 (reported live 2026-08-01); a sub-agent inherits none of this run's constraints, and the Agent-tool call carries no dispatch watchdog — a stalled fan-out underneath it stalls the whole consult. (consult-panel§1d carries the full form of this guard.)
- No sub-agent fan-out — append this VERBATIM to the code-searcher prompt: "Do this analysis YOURSELF — do NOT spawn sub-agents. Do not use the Agent/Task tool to fan out to
This parallel execution significantly improves response time.
2a. Parse Codex --json Output Files (jq Recipes)
Codex CLI with --json typically emits newline-delimited JSON events (JSONL). Some environments may prefix lines with terminal escape sequences; these recipes strip everything before the first { and then fromjson? safely.
Set a variable first:
FILE="$PROJECT_DIR/tmp/codex-output-RUN_ID.jsonl" # the file the §2 dispatch redirected to
List event types (top-level .type)
jq -Rr 'sub("^[^{]*";"") | fromjson? | .type // empty' "$FILE" | sort | uniq -c | sort -nr
List item types (nested .item.type on item.completed)
jq -Rr 'sub("^[^{]*";"") | fromjson? | select(.type=="item.completed") | .item.type? // empty' "$FILE" | sort | uniq -c | sort -nr
Extract only “reasoning” and “agent_message” text (human-readable)
jq -Rr '
sub("^[^{]*";"")
| fromjson?
| select(.type=="item.completed" and (.item.type? | IN("reasoning","agent_message")))
| "===== \(.item.type) \(.item.id) =====\n\(.item.text // "")\n"
' "$FILE"
Extract ALL agent_message events (Codex frequently emits multiple; extracting only the last would truncate the answer)
out=$(jq -Rr '
sub("^[^{]*";"")
| fromjson?
| select(.type=="item.completed" and .item.type?=="agent_message")
| .item.text // empty
' "$FILE")
[ -z "$out" ] && echo "ERROR: Codex produced no agent_message events — check the raw output for errors" >&2
printf '%s\n' "$out"
Build a clean JSON array for downstream tools
jq -Rn '
[inputs
| sub("^[^{]*";"")
| fromjson?
| select(.type=="item.completed" and (.item.type? | IN("reasoning","agent_message")))
| {type:.item.type, id:.item.id, text:(.item.text // "")}
]
' "$FILE"
Extract command executions (command + exit code), avoiding huge stdout/stderr
Codex JSON schemas vary slightly; this tries multiple common field names.
jq -Rr '
sub("^[^{]*";"")
| fromjson?
| select(.type=="item.completed" and .item.type?=="command_execution")
| [
(.item.id // ""),
(.item.command // .item.cmd // .item.command_line // "<no command field>"),
(.item.exit_code // .item.exitCode // "<no exit>")
]
| @tsv
' "$FILE"
Discover actual fields present in command_execution for your environment
jq -Rr '
sub("^[^{]*";"")
| fromjson?
| select(.type=="item.completed" and .item.type?=="command_execution")
| (.item | keys | @json)
' "$FILE" | head -n 5
3. Cleanup Temp Files
After processing the Codex response (success or failure), clean up the temp files:
rm -f "$PROJECT_DIR/tmp/codex-prompt-RUN_ID.txt" "$PROJECT_DIR/tmp/codex-output-RUN_ID.jsonl"
This prevents stale prompts from accumulating and avoids potential confusion in future runs.
4. Handle Errors
- If one agent fails or times out, still present the successful agent's response
- Note the failure in the comparison: "Agent X failed to respond: [error message]"
- Provide analysis based on the available response
5. Create Comparison Analysis
Use this exact format:
Codex Response
[Raw output from codex-cli agent]
Code-Searcher (Claude) Response
[Raw output from code-searcher agent]
Comparison Table
(MANDATORY — always render this table on a multi-agent run; it is the at-a-glance visual diff readers rely on, so never skip it. Omit only in a degraded single-AI run, where there is nothing to compare.)
| Aspect | Codex | Code-Searcher (Claude) |
|---|---|---|
| File paths | [Specific/Generic/None] | [Specific/Generic/None] |
| Line numbers | [Provided/Missing] | [Provided/Missing] |
| Code snippets | [Yes/No + details] | [Yes/No + details] |
| Unique findings | [List any] | [List any] |
| Accuracy | [Note discrepancies] | [Note discrepancies] |
| Strengths | [Summary] | [Summary] |
Agreement Level
- High Agreement: Both AIs reached similar conclusions - Higher confidence in findings
- Partial Agreement: Some overlap with unique findings - Investigate differences
- Disagreement: Contradicting findings - Manual verification recommended
[State which level applies and explain]
Findings by Corroboration
Bucket each distinct finding by how many agents independently reached it:
- Corroborated — both agents report it. Highest trust as a consensus signal — this dual has no citation-verification stage, so it is agreement, not verified correctness.
- Solo — reported by one agent only. Plausible but unconfirmed.
- Disputed — the agents contradict on the point. Flag for manual verification.
(Cluster findings across agents by their claim + file:line — the Citations Index blocks
make this pairing mechanical. On a defect-hunt run, tag each listed finding with its
agent-assigned Severity — Critical/Warning/Info.)
Key Differences
- Codex: [unique findings, strengths, approach]
- Code-Searcher: [unique findings, strengths, approach]
Synthesized Summary
[Combine the best insights from both sources into unified analysis. Prioritize findings that are:
- Corroborated by both agents
- Supported by specific file:line citations
- Include verifiable code snippets]
Recommendation
[Which source was more helpful for this specific query and why. Consider:
- Accuracy of file paths and line numbers
- Quality of code snippets provided
- Completeness of analysis
- Unique insights offered]
Version History
-
823d721
Current 2026-08-20 01:46
将底层模型从Codex GPT-5.6-terra更新为Codex,并同步更新Sonnet agent相关配置。
- 8132d26 2026-07-25 07:45


