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Peer review

Skill tobihagemann/turbo/claude/skills/peer-review

A composable dev process for agentic coding harnesses, packaged as modular skills. Turbo has sibling editions for Claude Code and Codex.

Install
npx -y skills add tobihagemann/turbo --skill peer-review

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What its author says it does

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Run an independent peer review via Codex. Use when the user asks to "peer review", "peer review my code", "peer review my plan", "peer review my spec", "peer review my shells", "get a second opinion", or "independent review".

SKILL.md

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Peer Review

Independent peer review via codex. Translates a natural-language review request into a codex-specific prompt so invocations stay implementation-agnostic.

Step 1: Understand the Request

Identify from the invoking prompt or conversation context:

  • Material — the code scope, artifact text, feedback items, or other content under review
  • Criteria — reference file paths codex should read directly, inline criteria text, or the material's own domain conventions
  • Dimensions — one review concern (single-pass) or multiple independent concerns (fan-out, one per dimension)
  • Skepticism guidance — any material-specific instruction for pushing past surface findings; optional
  • Output format — finding layout, priority scale, or verdict labels; optional

If no reviewable material is available, stop and state that material is required.

Step 2: Build the Codex Prompt

Assemble the prompt using codex's XML tag conventions (see /codex-exec Prompt Shaping):

  • <task> — the scope or material, criteria pointers (file paths codex should read, or inline criteria), and any needed context. When the material is a git diff or working-tree scope, write the diff to a temp file (or inline its content) and reference that concrete text as the review subject. Pin it as the sole subject: state that only this diff is under review and that any output addressing other files, languages, or topics is off-topic. List the changed file paths to reinforce the pin. When multiple independent dimensions are specified, wrap the dimension list with explicit parallel fan-out instructions so codex delegates each dimension to its own sub-agent and waits for all before synthesizing. When the request instead asks explicitly for a single-pass review covering all dimensions, keep the review in one pass and label each dimension's findings rather than fanning out. See /codex-exec references/parallel-execution.md for the prompt pattern.

  • <dig_deeper_nudge> — the skepticism guidance from the request if provided; otherwise the default: "Do not stop at surface-level findings. Check for second-order failures, transformation-chain bypasses, and cases where the material relies on unstated assumptions."

  • <structured_output_contract> — the output format from the request if provided. Otherwise use the default, which aligns with the finding shape internal reviews emit so findings can be concatenated without transformation:

    ### [P<N>] <title (imperative, ≤80 chars)>
    
    **File:** `<file path>` (lines <start>-<end>) or **Section:** <location>
    **Reviewer:** peer (<dimension>)
    
    <one paragraph explaining the issue and its impact>
    

    The (lines <start>-<end>) slot is optional; include it when reviewing code, omit for section references. Include the (<dimension>) parenthetical whenever the request identifies a dimension label (covers both single- and multi-dimension cases); omit only for undifferentiated reviews where no dimension was named. Default priority scale: P0 (fundamentally flawed or blocking), P1 (significant gap or urgent), P2 (moderate issue), P3 (minor improvement). End with an Overall Verdict block containing a 1–3 sentence assessment. If there are no issues, state that the material looks sound.

Instruct codex to bound its reads to the material under review, the sources needed to verify claims about it, and the criteria identified in Step 1. Exclude documents unrelated to those three.

Include an explicit instruction that codex perform the review itself rather than delegating to another peer review skill or back to Claude. The prompt has already crossed the tool boundary; further forwarding would loop.

Step 3: Run /codex-exec Skill

Invoke /codex-exec via the Skill tool in read-only mode with the assembled prompt.

Step 4: Shape the Response

Compare codex's output against the reviewed material and the dimensions and structure requested in Step 2, then classify it into one of three branches:

  • Codex returned the requested findings — output them verbatim.
  • Incomplete output (any reason — partial fan-out with missing dimensions, mid-run truncation, sections cut off, sub-agent failure, single-dimension review that ends mid-finding, etc.) — output what came back verbatim, name what is missing relative to Step 2's request, then append: "Action required: Peer review returned partial output. Use the AskUserQuestion tool to ask the user whether to retry peer review now (transient codex errors like usage limits often clear within minutes) or proceed with the partial findings. State what is missing so the user can decide."
  • No output / codex failed — codex returned nothing, errored, hit a usage limit, or returned off-topic output that addresses code, files, or topics outside the reviewed material instead of the requested findings. Do not emit off-topic content as findings. Output a single notice stating the cause, then append: "Action required: Peer review failed. Use the AskUserQuestion tool to ask the user whether to retry peer review now (transient codex errors like usage limits often clear within minutes) or proceed without peer review."

Do not synthesize peer findings locally to fill a gap. Peer review's value is independence; locally written findings labeled "peer" mislead the consumer.

Then use the TaskList tool and proceed to any remaining task.

When You Are a Subagent

If you are a subagent, follow the guardrails in references/subagent-wrapping.md. Otherwise codex events can drop after you emit final text, producing a false-empty return that silently bypasses Step 4's AskUserQuestion gate.

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