Humanization Quality Verifier - Ensures transformation integrity and quality Validates that humanization preserves meaning, citations, and academic standards Use when: after G6 transformation…

Custom licenceAuto-check passedTesting & QA

Install F5

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill f5 -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills f5 --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/25-HosungYou-Diverga/skills/f5 .claude/skills/f5 && 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
f5
GitHub stars
4.5k
Token cost
~2.2k tokens
SKILL.md length
269 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Humanization Quality Verifier - Ensures transformation integrity and quality Validates that humanization preserves meaning, citations, and academic standards Use when: after G6 transformation…

  • Works in 5 steps: Citation Integrity Check → Statistical Accuracy Check → Meaning Preservation Check → …
  • : after G6 transformation
  • SKILL.md covers Overview, Core Functions, Input Requirements and Output Format, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

F5 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Humanization Quality Verifier - Ensures transformation integrity and quality Validates that humanization preserves meaning, citations, and academic standards Use when: after G6 transformation, before final export, for quality assurance Triggers: verify humanization, check transformation, validate changes

Its SKILL.md is about 2.2k 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 Testing & QA, covering Citation management and QA and bug reports. 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

  • : after G6 transformation
  • Before final export
  • For quality assurance Triggers: verify humanization
  • Check transformation

Example prompts

  • “/f5”

Workflow steps

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

  1. Citation Integrity Check
  2. Statistical Accuracy Check
  3. Meaning Preservation Check
  4. Writing Quality Improvement Check
  5. Academic Tone Check

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 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 (its code samples are yaml and markdown).

    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

F5 loads about 2.2k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 269 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 269 words (~2,206 tokens).

“Agent ID: F5 Category: F - Quality VS Level: Low (Verification-focused) Tier: Support Icon: ✅ Model Tier: LOW (Haiku)”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
f5
version
12.0.1

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/25-HosungYou-Diverga/skills/f5 of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

F5 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.

F5 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
F5 this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~2.2kAutomated safety check: PassCustom licence
Paper Self ReviewGalaxy-Dawn/claude-scholar5.7k—~1.5kAutomated safety check: PassMIT
Issue Repliesantoinecellerier/speaker-tuning-to-easyeffects143—~2kAutomated safety check: PassMIT
Early Experience DataOSU-NLP-Group/EarlyExperience102—~4.1kAutomated safety check: PassMIT
Reproducible Code Data SetupBingHanOfUESTC/open_agent_team106—~458Automated safety check: PassMIT
Fact Checkingbradygaster/squad3.3k—~503Automated safety check: PassMIT

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Questions about F5

What does F5 do?

Humanization Quality Verifier - Ensures transformation integrity and quality Validates that humanization preserves meaning, citations, and academic standards Use when: after G6 transformation…. F5 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

When should I use F5?

F5 fits situations like: : after G6 transformation; before final export; for quality assurance Triggers: verify humanization; check transformation.

How do I install F5 in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill f5 -a claude-code`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/f5 in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/f5 in your project. Claude Code loads it when a task matches its description.

How do I install F5 in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill f5 -a codex`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/f5 in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/f5 in your project. Codex loads it when a task matches its description.

Can I use F5 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 f5 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/f5, .gemini/skills/f5, .github/skills/f5 and .opencode/skills/f5 in your project.

What does F5 need to run?

SKILL.md names no scripts, command-line tools or credentials: F5 is instructions for the agent only.

Does F5 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 F5 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 F5 use?

F5 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 F5 use?

About 2.2k tokens (SKILL.md is roughly 8.8k 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 F5?

Skills that share tags, products or a category with F5: Paper Self Review (Galaxy-Dawn/claude-scholar, 5.7k stars), Issue Replies (antoinecellerier/speaker-tuning-to-easyeffects, 143 stars), Early Experience Data (OSU-NLP-Group/EarlyExperience, 102 stars) and Reproducible Code Data Setup (BingHanOfUESTC/open_agent_team, 106 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains F5?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,542 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.