Agent skill

Peer Review

by tobihagemann in tobihagemann/turbo

Run an independent peer review via Codex. An agent skill from tobihagemann/turbo.

MITAuto-check passedResearch & Science

Install Peer Review

skills CLI
$ npx skills add tobihagemann/turbo --skill peer-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tobihagemann/turbo peer-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tobihagemann/turbo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/claude/skills/peer-review .claude/skills/peer-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
peer-review
GitHub stars
408
Token cost
~1.7k tokens
SKILL.md length
884 words
Files
2 (incl. references)
Skills in repo
81
Repo updated
First seen
Licence
MIT

At a glance

Run an independent peer review via Codex. An agent skill from tobihagemann/turbo.

  • Works in 4 steps: Understand the Request → Build the Codex Prompt → Run /codex-exec Skill → …
  • The user asks to peer review
  • SKILL.md covers Step 1: Understand the Request, Step 2: Build the Codex Prompt, Step 3: Run /codex-exec Skill and Step 4: Shape the Response, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Peer Review is an agent skill from tobihagemann/turbo. Run an independent peer review via Codex. Use when the user asks to "peer review", "peer review my code", "peer review my plan", "get a second opinion", or "independent review".

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/subagent-wrapping.md`).

It sits in Research & Science, covering Peer review. The repository describes itself as: Reusable workflows for planning, building, reviewing, and shipping with Claude Code and Codex. The licence is MIT.

When your agent uses it

  • The user asks to peer review
  • Peer review my code
  • Peer review my plan
  • Get a second opinion

Example prompts

  • “peer review”
  • “peer review my code”
  • “peer review my plan”
  • “/peer-review”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Understand the Request
  2. Build the Codex Prompt
  3. Run /codex-exec Skill
  4. Shape the Response

What it can do on your machine

Read from SKILL.md and the folder at commit 931eda5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Peer Review loads about 1.7k tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 884 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from tobihagemann/turbo at commit 931eda5, republished under its MIT licence (© tobihagemann). 884 words, ~1,671 tokens.

Download SKILL.mdSave it as .claude/skills/peer-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
peer-review
description
Run an independent peer review via Codex. Use when the user asks to "peer review", "peer review my code", "peer review my plan", "get a second opinion", or "independent review".

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
  • Prior adjudications — findings already judged, one line each with its verdict and the recorded reason; 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 file under .turbo/ and reference that file 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 the review revisits material an earlier round already covered, rebuild the review subject from the material's current content and state that any earlier version of it is superseded. When prior adjudications were identified in Step 1, carry them into the <task> labeled as decisions already reached on proposed changes rather than as established properties of the material, and state that a listed finding is raised again only on evidence its recorded reason does not already account for. 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 with each dimension in its own labeled section rather than fanning out, stating an explicit outcome for every dimension, including one with no qualifying findings. 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.

Show full SKILL.md (290 more words)Show less

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.

© tobihagemann, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in claude/skills/peer-review of tobihagemann/turbo.

  • SKILL.md
  • references/subagent-wrapping.md

Open the folder on GitHubat commit 931eda5

Compare with similar skills

Peer Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Peer Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Peer Review this skilltobihagemann/turbo408—~1.7kAutomated safety check: PassMIT
Peer Reviewspacering-net/codeg3.9k17 repos~5.9kAutomated safety check: NotesMIT
Scholar Evaluationspacering-net/codeg3.9k11 repos~3.2kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Academic Paper ReviewerImbad0202/academic-research-skills51k—~11kAutomated safety check: PassCustom licence
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT

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Questions about Peer Review

What does Peer Review do?

Run an independent peer review via Codex. An agent skill from tobihagemann/turbo. Peer Review is an agent skill from tobihagemann/turbo. Run an independent peer review via Codex.

When should I use Peer Review?

Peer Review fits situations like: the user asks to peer review; peer review my code; peer review my plan; get a second opinion.

How do I install Peer Review in Claude Code?

Run `npx skills add tobihagemann/turbo --skill peer-review -a claude-code`. Or copy the skill folder (claude/skills/peer-review in tobihagemann/turbo) into .claude/skills/peer-review in your project. Claude Code loads it when a task matches its description.

How do I install Peer Review in Codex?

Run `npx skills add tobihagemann/turbo --skill peer-review -a codex`. Or copy the skill folder (claude/skills/peer-review in tobihagemann/turbo) into .agents/skills/peer-review in your project. Codex loads it when a task matches its description.

Can I use Peer Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tobihagemann/turbo --skill peer-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/peer-review, .gemini/skills/peer-review, .github/skills/peer-review and .opencode/skills/peer-review in your project.

What does Peer Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Peer Review is instructions for the agent only.

Does Peer Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Peer Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Peer Review use?

Peer Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Peer Review use?

About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 459 tokens, read only when the agent opens those files.

What are the alternatives to Peer Review?

Skills that share tags, products or a category with Peer Review: Peer Review (spacering-net/codeg, 3.9k stars), Scholar Evaluation (spacering-net/codeg, 3.9k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Paper Reviewer (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Peer Review?

tobihagemann (a GitHub user) maintains it in tobihagemann/turbo, which has 408 GitHub stars. The repository holds 81 skills in this directory. The repository was last updated on October 9, 2026.

Source: tobihagemann/turbo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.