Generate master's thesis review reports (硕士论文评阅意见) calibrated to a given score.

Custom licenceAuto-check: notesEducation

Install Master Thesis Review

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill master-thesis-review -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills master-thesis-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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/67-econfin-workflow-toolkit/master-thesis-review .claude/skills/master-thesis-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
master-thesis-review
GitHub stars
4.6k
Token cost
~983 tokens
SKILL.md length
367 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Generate master's thesis review reports (硕士论文评阅意见) calibrated to a given score.

  • Works in 3 steps: Initialization → Configuration → Generate Review
  • User says master thesis review / 硕士论文评阅 / 论文评阅 / 评阅意见 / thesis review
  • SKILL.md covers Overview, Language Rule, Workflow and Score Calibration Guide, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Master Thesis Review is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Generate master's thesis review reports (硕士论文评阅意见) calibrated to a given score. Outputs academic evaluation and shortcomings/suggestions in Chinese. Trigger when user says "master thesis review" / "硕士论文评阅" / "论文评阅" / "评阅意见" / "thesis review".

Its SKILL.md is about 980 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 Education, covering Essays and academic help. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • User says master thesis review / 硕士论文评阅 / 论文评阅 / 评阅意见 / thesis review
  • Tasks that involve Essays and academic help

Example prompts

  • “master thesis review”
  • “硕士论文评阅”
  • “thesis review”
  • “/master-thesis-review”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Glob, Grep, AskUserQuestion, Bash

Workflow steps

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

  1. Initialization
  2. Configuration
  3. Generate Review

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Glob
    • Grep
    • AskUserQuestion
    • Bash

    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

Master Thesis Review loads about 983 tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 367 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~983

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Glob, Grep, AskUserQuestion, Bash

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 367 words (~983 tokens).

“This skill generates a master's thesis review report (硕士学位论文评阅意见) for a given thesis. The user provides the thesis file and a score (out of 100). The skill reads the thesis, then generates two sections calibrated to the score level.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
master-thesis-review
allowed-tools
Read, Write, Glob, Grep, AskUserQuestion, Bash
argument-hint
[path-to-thesis-folder]

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/67-econfin-workflow-toolkit/master-thesis-review of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Master Thesis 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.

Master Thesis Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Master Thesis Review this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~983Automated safety check: NotesCustom licence
Academic Paper StrategistAAASS554/codex-academic-paper-skills5391 repos~2.7kAutomated safety check: PassMIT
Modeling Paper Rubric and Model Selectoryushui2022/MathModel-Skill4541 repos~1.8kAutomated safety check: PassMIT
Humanities Thesisganzhi-black/humanities-thesis-skill637—~1.7kAutomated safety check: PassMIT
Skill Thesis Writeryanlin-cheng/skill-thesis-writer209—~1.6kAutomated safety check: PassCustom licence
Thesis CreatorStars-OC/thesis-creator230—~2.8kAutomated safety check: PassMIT

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Categories

Questions about Master Thesis Review

What does Master Thesis Review do?

Generate master's thesis review reports (硕士论文评阅意见) calibrated to a given score. Master Thesis Review is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Generate master's thesis review reports (硕士论文评阅意见) calibrated to a given score.

When should I use Master Thesis Review?

Master Thesis Review fits situations like: user says master thesis review / 硕士论文评阅 / 论文评阅 / 评阅意见 / thesis review; tasks that involve Essays and academic help.

How do I install Master Thesis Review in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill master-thesis-review -a claude-code`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/master-thesis-review in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/master-thesis-review in your project. Claude Code loads it when a task matches its description.

How do I install Master Thesis Review in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill master-thesis-review -a codex`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/master-thesis-review in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/master-thesis-review in your project. Codex loads it when a task matches its description.

Can I use Master Thesis 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill master-thesis-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/master-thesis-review, .gemini/skills/master-thesis-review, .github/skills/master-thesis-review and .opencode/skills/master-thesis-review in your project.

What does Master Thesis Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Master Thesis Review is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Glob, Grep, AskUserQuestion, Bash.

Does Master Thesis 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 Master Thesis Review safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Master Thesis Review use?

Master Thesis 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 Master Thesis Review use?

About 983 tokens (SKILL.md is roughly 3.9k 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 Master Thesis Review?

Skills that share tags, products or a category with Master Thesis Review: Academic Paper Strategist (AAASS554/codex-academic-paper-skills, 539 stars), Modeling Paper Rubric and Model Selector (yushui2022/MathModel-Skill, 454 stars), Humanities Thesis (ganzhi-black/humanities-thesis-skill, 637 stars) and Skill Thesis Writer (yanlin-cheng/skill-thesis-writer, 209 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Master Thesis Review?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

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