Stream Chain
ruvnet/agentic-flow
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
Systematic multi-agent code review of all analysis scripts produced in a project.
$ npx skills add joshzyj/open-scholar-skill --skill scholar-code-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-code-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "scholar-code-review" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-code-review into .claude/skills/scholar-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-code-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-code-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add joshzyj/open-scholar-skill --skill scholar-code-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-code-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/scholar-code-review .agents/skills/scholar-code-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scholar-code-review" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-code-review into .agents/skills/scholar-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-code-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add joshzyj/open-scholar-skill --skill scholar-code-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-code-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/scholar-code-review .cursor/skills/scholar-code-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "scholar-code-review" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-code-review into .cursor/skills/scholar-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-code-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/joshzyj/open-scholar-skill.git --path .claude/skills/scholar-code-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add joshzyj/open-scholar-skill --skill scholar-code-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-code-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/scholar-code-review .gemini/skills/scholar-code-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "scholar-code-review" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-code-review into .gemini/skills/scholar-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-code-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install joshzyj/open-scholar-skill scholar-code-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add joshzyj/open-scholar-skill --skill scholar-code-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/scholar-code-review .github/skills/scholar-code-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "scholar-code-review" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-code-review into .github/skills/scholar-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-code-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add joshzyj/open-scholar-skill --skill scholar-code-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-code-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/scholar-code-review .opencode/skills/scholar-code-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "scholar-code-review" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-code-review into .opencode/skills/scholar-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-code-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
scholar-code-reviewSystematic 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. 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.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6e5ac8e. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
bashjqpython3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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…”
SKILL.md and 1 other file (references) in .claude/skills/scholar-code-review of joshzyj/open-scholar-skill.
Open the folder on GitHubat commit 6e5ac8e
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Scholar Code Review this skilljoshzyj/open-scholar-skill | 168 | — | ~8.8k | Automated safety check: Pass | Custom licence | |
| Stream Chainruvnet/agentic-flow | 819 | 5 repos | ~3.2k | Automated safety check: Pass | None | |
| OCRspencermarx/open-code-review | 371 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Adversarial Codebase Auditben-manes/caffeine | 18k | — | ~1.9k | Automated safety check: Notes | Apache-2.0 | |
| Tbdjlevy/strif | 131 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Multi-Model Adversarial Reviewcursor/plugins | 10k | 8 repos | ~1.3k | Automated safety check: Pass | None |
ruvnet/agentic-flow
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
spencermarx/open-code-review
AI-powered multi-agent code review. An agent skill from spencermarx/open-code-review.
ben-manes/caffeine
Runs a hostile review of the Caffeine Java caching library with parallel subagents that get no design docs, then challenges and consolidates their findings.
jlevy/strif
Git-native issue tracking (beads), coding guidelines, knowledge injection, and spec-driven planning for AI agents.
cursor/plugins
Runs one read-only reviewer subagent per configured model against a diff to challenge a change, then synthesizes a single verdict without applying any fixes.
sortie-ai/sortie
Reviews pull requests in this repository for the defect classes a mechanical checklist misses: documentation that outlived the code it describes, reaction and retry state that leaks or clobbers a…
joshzyj/open-scholar-skill
Turn unstructured text into validated, structured variables at corpus scale with LLMs: codebook design, dev/gold-set construction, DSPy prompt optimization, a hard reliability gate (Cohen κ ≥ 0.70)…
joshzyj/open-scholar-skill
Stable, deterministic social-science research-paper pipeline from idea or data to verified manuscript, citations, replication package, and final md/docx/tex/pdf outputs.
joshzyj/open-scholar-skill
Build and query a local vector database + GraphRAG over your entire reference library (Zotero or a PDF folder) for literature review.
joshzyj/open-scholar-skill
Comprehensive causal inference toolkit for social science research.
joshzyj/open-scholar-skill
Comprehensive open data directory (100+ datasets across 14 categories) with auto-fetch capability, plus data collection instrument design, variable dictionaries, data management, IRB materials, and…
joshzyj/open-scholar-skill
Conduct exploratory data analysis (EDA) before hypothesis testing.
Categories
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.
Scholar Code Review fits situations like: tasks that involve Code review; tasks that involve Reproducible research; tasks that involve Data cleaning.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.