Agent skill

Rt Simulated Referee

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses to rehearse peer review before submitting — a calibrated Associate Editor desk-screen plus 2–3 distinct-lens referees for the target venue, adversarially verified and…

MITAuto-check passedResearch & Science

Install Rt Simulated Referee

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rt-simulated-referee -a claude-code

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

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills rt-simulated-referee --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Research-Toolkit-Skills/skills/rt-simulated-referee .claude/skills/rt-simulated-referee && 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/

Paste into Claude Code

Install the "rt-simulated-referee" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Research-Toolkit-Skills/skills/rt-simulated-referee into .claude/skills/rt-simulated-referee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rt-simulated-referee", 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

$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Research-Toolkit-Skills/skills/rt-simulated-referee

Type 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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rt-simulated-referee -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills rt-simulated-referee --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Research-Toolkit-Skills/skills/rt-simulated-referee .agents/skills/rt-simulated-referee && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "rt-simulated-referee" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Research-Toolkit-Skills/skills/rt-simulated-referee into .agents/skills/rt-simulated-referee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rt-simulated-referee", 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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rt-simulated-referee -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills rt-simulated-referee --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Research-Toolkit-Skills/skills/rt-simulated-referee .cursor/skills/rt-simulated-referee && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "rt-simulated-referee" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Research-Toolkit-Skills/skills/rt-simulated-referee into .cursor/skills/rt-simulated-referee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rt-simulated-referee", 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

$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Research-Toolkit-Skills/skills/rt-simulated-referee

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rt-simulated-referee -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills rt-simulated-referee --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Research-Toolkit-Skills/skills/rt-simulated-referee .gemini/skills/rt-simulated-referee && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "rt-simulated-referee" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Research-Toolkit-Skills/skills/rt-simulated-referee into .gemini/skills/rt-simulated-referee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rt-simulated-referee", 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.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills rt-simulated-referee

Installs 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).

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rt-simulated-referee -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Research-Toolkit-Skills/skills/rt-simulated-referee .github/skills/rt-simulated-referee && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "rt-simulated-referee" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Research-Toolkit-Skills/skills/rt-simulated-referee into .github/skills/rt-simulated-referee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rt-simulated-referee", 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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rt-simulated-referee -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills rt-simulated-referee --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Research-Toolkit-Skills/skills/rt-simulated-referee .opencode/skills/rt-simulated-referee && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "rt-simulated-referee" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Research-Toolkit-Skills/skills/rt-simulated-referee into .opencode/skills/rt-simulated-referee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rt-simulated-referee", 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.

Facts

Skill name: rt-simulated-referee
GitHub stars: 1.2k
Token cost: ~707 tokens
SKILL.md length: 248 words
Files: 1
Skills in repo: 2,387
Repo updated: Sep 27, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses to rehearse peer review before submitting — a calibrated Associate Editor desk-screen plus 2–3 distinct-lens referees for the target venue, adversarially verified and…

Works in 5 steps: AE desk-screen — fit, general interest,… → Independent referees (distinct lenses:… → Adversarial verification — every major… → …
Rehearse peer review before submitting — a calibrated Associate Editor desk-screen plus 2–3 distinct-lens referees for the target venue
SKILL.md covers When to trigger, Calibrate first (this is what…, Protocol and Orchestration, plus 2 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Rt Simulated Referee is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use to rehearse peer review before submitting — a calibrated Associate Editor desk-screen plus 2–3 distinct-lens referees for the target venue, adversarially verified and synthesized into a referee report, a decision band, and a prioritized, skill-mapped fix list. A rehearsal that predicts the attack surface; it does not replace real review.

Its SKILL.md is about 710 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 and Threat modeling. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜覆盖主流期刊的… The licence is MIT.

When your agent uses it

Rehearse peer review before submitting — a calibrated Associate Editor desk-screen plus 2–3 distinct-lens referees for the target venue
Adversarially verified and synthesized into a referee report
A decision band
Skill-mapped fix list

Example prompts

“/rt-simulated-referee”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

AE desk-screen — fit, general interest, fatal flaws → desk-reject risk; stop if a clear desk reject.
Independent referees (distinct lenses: identification skeptic · contribution/fit ·
Adversarial verification — every major concern must be **real + specific +
AE synthesis — one decision band (reject / major / minor / lean-accept) + the 1–3
Skill-mapped fix list — each decisive issue → the pack skill (and its execution

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. 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

Rt Simulated Referee loads about 707 tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 248 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~91
When it runs · the whole SKILL.md, loaded when a task matches: ~707

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 brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 248 words, ~707 tokens.

Download SKILL.mdSave it as .claude/skills/rt-simulated-referee/SKILL.md (or your agent's skills folder).

name: rt-simulated-referee
description: Use to rehearse peer review before submitting — a calibrated Associate Editor desk-screen plus 2–3 distinct-lens referees for the target venue, adversarially verified and synthesized into a referee report, a decision band, and a prioritized, skill-mapped fix list. A rehearsal that predicts the attack surface; it does not replace real review.

Simulated Referee (rt-simulated-referee)

Run the substantive gauntlet before a real referee does. Full protocol + a worked example: shared-resources/submission-readiness/simulated-referee.md.

When to trigger

After rt-submission-readiness clears the mechanical bar.
When the author wants to know the decisive objection before submitting.

Calibrate first (this is what makes it realistic)

Pull the venue's bar from the target pack, not generic intuition: acceptance/desk-reject reality + mechanics from resources/official-source-map.md; what this venue's referees attack from *-referee-strategy + the shared reviewer-objection-checklist; the fit/identification/robustness bar from the pack's skills. Set strictness to the venue's selectivity.

Protocol

AE desk-screen — fit, general interest, fatal flaws → desk-reject risk; stop if a clear desk reject.
Independent referees (distinct lenses: identification skeptic · contribution/fit · robustness/reproducibility) each write a structured report.
Adversarial verification — every major concern must be real + specific + addressable or be downgraded.
AE synthesis — one decision band (reject / major / minor / lean-accept) + the 1–3 decisive issues.
Skill-mapped fix list — each decisive issue → the pack skill (and its execution bridge) that fixes it.

Orchestration

Spawn one subagent per role with the same manuscript + the calibrated venue bar; collect independent reports; a final AE-synthesis agent. Distinct lenses + independence catch more than a single read.

Hard rules

Calibrate from the pack + source-map, never generic.
Verify before reporting (real / specific / addressable).
Map every decisive issue to a skill + execution bridge.
It's a rehearsal — output a decision band and the decisive issues, never a fake accept probability.

Output format

【Venue】… (calibrated)
【Desk-screen】send out / desk reject — reason; risk low/med/high
【Decision band】reject / major / minor / lean-accept
【Decisive issues (1–3)】each with owning pack skill + concrete fix
【Author action plan】ordered; tie each to a skill + tool

Next: address the decisive issues, then rt-response-to-referees for a real R&R.

Files

Just SKILL.md in Research-Toolkit-Skills/skills/rt-simulated-referee of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Rt Simulated Referee 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.

Rt Simulated Referee compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Rt Simulated Referee this skillbrycewang-stanford/Awesome-Journal-Skills	1.2k	—	~707	Automated safety check: Pass	MIT	11 days ago
Peer Reviewspacering-net/codeg	3.8k	18 repos	~5.9k	Automated safety check: Notes	MIT	yesterday
Scholar Evaluationspacering-net/codeg	3.8k	12 repos	~3.2k	Automated safety check: Pass	MIT	yesterday
Academic Paper Writing PipelineImbad0202/academic-research-skills	51k	—	~16k	Automated safety check: Pass	Custom licence	5 days ago
LLM Counciltenfoldmarc/llm-council-skill	819	2 repos	~4.2k	Automated safety check: Pass	None	5 mo ago
Academic Paper ReviewerImbad0202/academic-research-skills	51k	—	~11k	Automated safety check: Pass	Custom licence	5 days ago

Similar skills

Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
3.8k GitHub starsUsed in 18 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…
3.8k GitHub starsUsed in 12 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 5 days ago
Research & ScienceAuto-check passed
LLM Council
tenfoldmarc/llm-council-skill
Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict.
819 GitHub starsUsed in 2 repos~4.2k tokens
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 5 days ago
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

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo

Aaag Data Analysis
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
1.2k GitHub stars~1.3k tokensUpdated 11 days ago
Auto-check passed
Aaag Literature Positioning
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
1.2k GitHub stars~1.3k tokensUpdated 11 days ago
Auto-check passed
Aaag Rebuttal
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
1.2k GitHub stars~1.4k tokensUpdated 11 days ago
Auto-check passed
Aaag Research Design
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
1.2k GitHub stars~1.4k tokensUpdated 11 days ago
Auto-check passed
Aaag Review Process
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
1.2k GitHub stars~1.3k tokensUpdated 11 days ago
Auto-check passed
Aaag Submission
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
1.2k GitHub stars~1.6k tokensUpdated 11 days ago
Auto-check passed

Questions about Rt Simulated Referee

What does Rt Simulated Referee do?

A skill your agent uses to rehearse peer review before submitting — a calibrated Associate Editor desk-screen plus 2–3 distinct-lens referees for the target venue, adversarially verified and…. Rt Simulated Referee is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use to rehearse peer review before submitting — a calibrated Associate Editor desk-screen plus 2–3 distinct-lens referees for the target venue, adversarially verified and synthesized into a referee report, a decision band, and a prioritized, skill-mapped fix list.

When should I use Rt Simulated Referee?

Rt Simulated Referee fits situations like: rehearse peer review before submitting — a calibrated Associate Editor desk-screen plus 2–3 distinct-lens referees for the target venue; adversarially verified and synthesized into a referee report; A decision band; skill-mapped fix list.

How do I install Rt Simulated Referee in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rt-simulated-referee -a claude-code`. Or copy the skill folder (Research-Toolkit-Skills/skills/rt-simulated-referee in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/rt-simulated-referee in your project. Claude Code loads it when a task matches its description.

How do I install Rt Simulated Referee in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rt-simulated-referee -a codex`. Or copy the skill folder (Research-Toolkit-Skills/skills/rt-simulated-referee in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/rt-simulated-referee in your project. Codex loads it when a task matches its description.

Can I use Rt Simulated Referee 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 brycewang-stanford/Awesome-Journal-Skills --skill rt-simulated-referee -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rt-simulated-referee, .gemini/skills/rt-simulated-referee, .github/skills/rt-simulated-referee and .opencode/skills/rt-simulated-referee in your project.

What does Rt Simulated Referee need to run?

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

Does Rt Simulated Referee 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 Rt Simulated Referee 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 Rt Simulated Referee use?

Rt Simulated Referee 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 Rt Simulated Referee use?

About 707 tokens (SKILL.md is roughly 2.8k 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 Rt Simulated Referee?

Skills that share tags, products or a category with Rt Simulated Referee: Peer Review (spacering-net/codeg, 3.8k stars), Scholar Evaluation (spacering-net/codeg, 3.8k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and LLM Council (tenfoldmarc/llm-council-skill, 819 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Rt Simulated Referee?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Rt Simulated Referee

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Simulated Referee (rt-simulated-referee)

When to trigger

Calibrate first (this is what makes it realistic)

Protocol

Orchestration

Hard rules

Output format

Files

Compare with similar skills

Similar skills

More from brycewang-stanford/Awesome-Journal-Skills

Related

Questions about Rt Simulated Referee