Diverga HUD (Heads-Up Display) management skill. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

Custom licenceAuto-check passed

Install Hud

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills hud --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/hud .claude/skills/hud && 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
hud
GitHub stars
4.5k
Token cost
~1.4k tokens
SKILL.md length
406 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Diverga HUD (Heads-Up Display) management skill. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

  • Works in 3 steps: Creates ~/.claude/hud/diverga-hud.mjs → Updates ~/.claude/settings.json with… → Initializes .research/hud-state.json in…
  • SKILL.md covers Overview, Commands, Installation and State Files, plus 6 more sections
  • Calls node

What it does

Hud is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Diverga HUD (Heads-Up Display) management skill. Configure and manage the research project statusline display. Supports multiple presets: research, checkpoint, memory, minimal. Triggers: "hud", "statusline", "display settings"

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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…

Example prompts

  • “statusline”
  • “display settings”
  • “/hud”

Workflow steps

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

  1. Creates ~/.claude/hud/diverga-hud.mjs
  2. Updates ~/.claude/settings.json with statusLine command
  3. Initializes .research/hud-state.json in current project

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

    Shell commands in SKILL.md call:

    • node

    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

Hud loads about 1.4k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 406 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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 406 words (~1,445 tokens).

“Configure and manage the Diverga HUD (Heads-Up Display) statusline.”

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

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Hud 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.

Hud compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hud this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.4kAutomated safety check: PassCustom licence
OMC HUD Statusline SetupYeachan-Heo/oh-my-claudecode40k—~2.5kAutomated safety check: PassMIT
Configure Channelopenclaw/openclaw392k—~946Automated safety check: PassMIT
ConfigurationBuilderIO/agent-native7.1k—~2.1kAutomated safety check: PassNone
Heading Hierarchythedaviddias/Front-End-Checklist74k—~516Automated safety check: PassMIT
Empty Headingthedaviddias/Front-End-Checklist74k—~426Automated safety check: PassMIT

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Questions about Hud

What does Hud do?

Diverga HUD (Heads-Up Display) management skill. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Hud is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Diverga HUD (Heads-Up Display) management skill.

How do I install Hud in Claude Code?

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

How do I install Hud in Codex?

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

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

What does Hud need to run?

Going by SKILL.md and its folder, Hud needs the command-line tools its instructions call (node).

Does Hud 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 Hud 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 Hud use?

Hud 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 Hud use?

About 1.4k tokens (SKILL.md is roughly 5.8k 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 Hud?

Skills that share tags, products or a category with Hud: OMC HUD Statusline Setup (Yeachan-Heo/oh-my-claudecode, 40k stars), Configure Channel (openclaw/openclaw, 392k stars), Configuration (BuilderIO/agent-native, 7.1k stars) and Heading Hierarchy (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hud?

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.