Agent skill

Scholar Code Review

by joshzyj in joshzyj/open-scholar-skill

Systematic multi-agent code review of all analysis scripts produced in a project.

Custom licenceAuto-check passedDevelopment

Install Scholar Code Review

skills CLI
$ npx skills add joshzyj/open-scholar-skill --skill scholar-code-review -a claude-code

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

GitHub CLI
$ gh skill install joshzyj/open-scholar-skill scholar-code-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/joshzyj/open-scholar-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/scholar-code-review .claude/skills/scholar-code-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
scholar-code-review
GitHub stars
168
Token cost
~8.8k tokens
SKILL.md length
2,926 words
Files
2 (incl. references)
Skills in repo
30
Repo updated
First seen
Licence
Custom licence

At a glance

Systematic multi-agent code review of all analysis scripts produced in a project.

  • Works in 7 steps: Setup & Script Discovery → Launch Review Agents → Collect Agent Reports → …
  • Tasks that involve Code review
  • SKILL.md covers ABSOLUTE RULES, Arguments, Dispatch Table and ABSOLUTE RULE — NEVER…, plus 6 more sections
  • Calls bash, jq and python3

What it does

Scholar Code Review is an agent skill from joshzyj/open-scholar-skill. Systematic multi-agent code review of all analysis scripts produced in a project. 6 specialized agents review for: (1) correctness & logic errors, (2) robustness & defensive coding, (3) statistical implementation fidelity, (4) reproducibility & replication readiness, (5) code style & AI-generated anti-patterns, (6) data handling & variable construction (miscoded categories, wrong recodes, mishandled missing values, sample restrictions). Produces a consolidated review report with severity-ranked issues, fix…

Its SKILL.md is about 8.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/code-review-standards.md`).

It sits in Development, covering Code review, Reproducible research and Data cleaning. The repository describes itself as: Open scholar skill, a claude code plugin, for academic research.

When your agent uses it

  • Tasks that involve Code review
  • Tasks that involve Reproducible research
  • Tasks that involve Data cleaning

Example prompts

  • “/scholar-code-review”

Requirements

  • Python 3

Workflow steps

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

  1. Setup & Script Discovery
  2. Launch Review Agents
  3. Collect Agent Reports
  4. Synthesize Consolidated Report
  5. Present Results to User
  6. Save Output
  7. Post-Fix Re-Review (MANDATORY whenever findings are fixed)

What it can do on your machine

Read from SKILL.md and the folder at commit 6e5ac8e. 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

    Shell commands in SKILL.md call:

    • bash
    • jq
    • python3

    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

Scholar Code Review loads about 8.8k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 171 tokens; SKILL.md has 2,926 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~171
When it runs · the whole SKILL.md, loaded when a task matches
~8.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~10k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,926 words (~8,843 tokens).

“You are a systematic code review engine that examines all analysis scripts produced by AI in a research project. You deploy 6 specialized review agents in parallel, each examining every script from a different angle. Your goal is to catch…”

— opening of SKILL.md by joshzyj, Custom licence
name
scholar-code-review
tools
Read, Bash, Write, Glob, Grep, Agent
argument-hint
[full|correctness|robustness|statistics|reproducibility|style|data-handling] [optional: script-dir-or-file] [optional: design-doc-path], e.g., 'full…
user-invocable
true

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in .claude/skills/scholar-code-review of joshzyj/open-scholar-skill.

  • SKILL.md
  • references/code-review-standards.md

Open the folder on GitHubat commit 6e5ac8e

Compare with similar skills

Scholar Code 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.

Scholar Code Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scholar Code Review this skilljoshzyj/open-scholar-skill168—~8.8kAutomated safety check: PassCustom licence
Stream Chainruvnet/agentic-flow8195 repos~3.2kAutomated safety check: PassNone
OCRspencermarx/open-code-review371—~2.7kAutomated safety check: PassApache-2.0
Adversarial Codebase Auditben-manes/caffeine18k—~1.9kAutomated safety check: NotesApache-2.0
Tbdjlevy/strif131—~3.5kAutomated safety check: PassMIT
Multi-Model Adversarial Reviewcursor/plugins10k8 repos~1.3kAutomated safety check: PassNone

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Categories

Questions about Scholar Code Review

What does Scholar Code Review do?

Systematic multi-agent code review of all analysis scripts produced in a project. Scholar Code Review is an agent skill from joshzyj/open-scholar-skill. Systematic multi-agent code review of all analysis scripts produced in a project.

When should I use Scholar Code Review?

Scholar Code Review fits situations like: tasks that involve Code review; tasks that involve Reproducible research; tasks that involve Data cleaning.

How do I install Scholar Code Review in Claude Code?

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

How do I install Scholar Code Review in Codex?

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

Can I use Scholar Code 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 joshzyj/open-scholar-skill --skill scholar-code-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/scholar-code-review, .gemini/skills/scholar-code-review, .github/skills/scholar-code-review and .opencode/skills/scholar-code-review in your project.

What does Scholar Code Review need to run?

Going by SKILL.md and its folder, Scholar Code Review needs the command-line tools its instructions call (bash, jq and python3). Our summary lists: Python 3.

Does Scholar Code 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 Scholar Code 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 Scholar Code Review use?

Scholar Code Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Scholar Code Review use?

About 8.8k tokens (SKILL.md is roughly 35k 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 1.5k tokens, read only when the agent opens those files.

What are the alternatives to Scholar Code Review?

Skills that share tags, products or a category with Scholar Code Review: Stream Chain (ruvnet/agentic-flow, 819 stars), OCR (spencermarx/open-code-review, 371 stars), Adversarial Codebase Audit (ben-manes/caffeine, 18k stars) and Tbd (jlevy/strif, 131 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scholar Code Review?

joshzyj (a GitHub user) maintains it in joshzyj/open-scholar-skill, which has 168 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on September 18, 2026.

Source: joshzyj/open-scholar-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.