Agent skill

Peer Review

by tobihagemann in tobihagemann/turbo

Run an independent peer review via Claude. 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/codex/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
~1.2k tokens
SKILL.md length
686 words
Files
1
Skills in repo
81
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 4 steps: Determine Review Request → Build the Claude Prompt → Run $claude-print Skill → …
  • The user asks to peer review
  • SKILL.md covers Step 1: Determine Review Request, Step 2: Build the Claude Prompt, Step 3: Run $claude-print Skill and Step 4: Validate Output, 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 Claude. 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 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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. Determine Review Request
  2. Build the Claude Prompt
  3. Run $claude-print Skill
  4. Validate Output

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 1.2k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 686 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 686 words, ~1,244 tokens.

Download SKILL.mdSave it as .claude/skills/peer-review/SKILL.md (or your agent's skills folder).
name
peer-review
description
Run an independent peer review via Claude. 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 Claude. Translates a natural-language review request into a Claude-specific prompt so invocations stay implementation-agnostic.

Step 1: Determine Review Request

Extract from the current context:

  • Material — code diff, files, plan, feedback, or other artifact to review
  • Review dimensions — correctness, security, API usage, consistency, simplicity, coverage, plan readiness, feedback interpretation, or explicit user criteria
  • Criteria — reference file paths Claude should read directly, inline criteria text, or the material's own domain conventions
  • Prior adjudications — findings already judged, one line each with its verdict and the recorded reason; optional
  • Output format — findings schema, verdict labels, priority scale, and any required metadata fields

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

Step 2: Build the Claude Prompt

Assemble a prompt for Claude:

  • State that Claude is acting as an independent peer reviewer for Codex.
  • Identify the exact material and scope. Pass text you did not author as file paths and diff commands rather than pasted content.
  • 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.
  • Instruct Claude to read referenced criteria files directly.
  • When prior adjudications were identified in Step 1, state them inline in the prompt, 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.
  • Bound Claude's 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.
  • Preserve independent dimensions. If multiple dimensions are requested and Codex sub-agent fan-out is unavailable, ask Claude to review each dimension in a separately labeled section. When the request instead asks explicitly for a single-pass review covering all dimensions, keep it to 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.
  • Require the exact output format expected by the calling skill.
  • Require evidence for every actionable finding.
  • Tell Claude not to modify files.
  • Tell Claude to perform the review itself rather than delegating to another peer review skill or back to Codex. The prompt has already crossed the tool boundary; further forwarding would loop.

Step 3: Run $claude-print Skill

Run the $claude-print skill in read-only mode with the assembled prompt.

Show full SKILL.md (271 more words)Show less

Step 4: Validate Output

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

  • Claude 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 request_user_input to ask the user whether to retry peer review now (transient Claude 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 / Claude failed — Claude 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 request_user_input to ask the user whether to retry peer review now (transient Claude 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 call update_plan to mark this step completed and continue with the next step of the active workflow.

Rules

  • $peer-review is the stable abstraction. Pipeline skills should not call $claude-print directly unless they need raw Claude print-mode behavior.
  • Do not apply Claude findings directly. Evaluation and application belong to downstream skills.

© 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

Just SKILL.md in codex/skills/peer-review of tobihagemann/turbo.

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—~1.2kAutomated 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

Similar skills

  • Peer Review

    spacering-net/codeg

    Structured manuscript/grant review with checklist-based evaluation.

    3.9k GitHub starsUsed in 17 repos~5.9k tokens
    Research & ScienceAuto-check: notes
  • Scholar Evaluation

    spacering-net/codeg

    Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and…

    3.9k GitHub starsUsed in 11 repos~3.2k tokens
    Research & ScienceAuto-check passed
  • Academic Paper Writing Pipeline

    Imbad0202/academic-research-skills

    Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.

    51k GitHub stars~16k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Academic Paper Reviewer

    Imbad0202/academic-research-skills

    Simulates a journal peer review of a manuscript with a five-seat reviewer panel, an editorial synthesizer and several review modes.

    51k GitHub stars~11k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Peer Review

    K-Dense-AI/claude-scientific-writer

    Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.

    2.4k GitHub starsUsed in 2 repos~3.1k tokens
    Research & ScienceAuto-check: notes
  • Academic Research Pipeline

    Imbad0202/academic-research-skills

    Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.

    51k GitHub stars~15k tokensUpdated yesterday
    Research & ScienceAuto-check passed

More from tobihagemann/turbo

All 81 skills in this repo
  • Consult Oracle

    tobihagemann/turbo

    Consult ChatGPT Pro via ChatGPT browser automation for problems that resist standard approaches.

    408 GitHub stars~1.1k tokensUpdated 2 days ago
    Auto-check passed
  • Fetch PR Comments

    tobihagemann/turbo

    Fetch and summarize review feedback and conversation from a GitHub PR (unresolved review threads, review bodies, and PR conversation comments) without making changes.

    408 GitHub stars~967 tokensUpdated 2 days ago
    Auto-check passed
  • Recall Rationale

    tobihagemann/turbo

    Recall why a past change was made by locating the Claude Code transcript that produced it.

    408 GitHub stars~1.3k tokensUpdated 2 days ago
    Auto-check passed
  • Resolve PR Comments

    tobihagemann/turbo

    Evaluate, fix, answer, and reply to GitHub pull request review comments and conversation comments.

    408 GitHub stars~3.8k tokensUpdated 2 days ago
    Auto-check passed
  • Resolve PR Comments

    tobihagemann/turbo

    Evaluate, fix, answer, and reply to GitHub pull request review comments and conversation comments.

    408 GitHub stars~3.8k tokensUpdated 2 days ago
    Auto-check passed
  • Assess Technical Debt

    tobihagemann/turbo

    Assess project-wide structural technical debt: complexity hotspots, deprecated API usage, duplication clusters, architecture rot, and low-value tests.

    408 GitHub stars~2.8k tokensUpdated 2 days ago
    Auto-check passed

Questions about Peer Review

What does Peer Review do?

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

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 (codex/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 (codex/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 1.2k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

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.