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Agent skill

Use Vishot For Airi

by moeru-ai in moeru-ai/airi

Run AIRI-owned Vishot scenarios for stage-web or stage-tamagotchi, including skipping first-run onboarding and importing a local Live2D, VRM, or MMD display model before capture.

MITAuto-check passed

Install Use Vishot For Airi

skills CLI
$ npx skills add moeru-ai/airi --skill use-vishot-for-airi -a claude-code

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

GitHub CLI
$ gh skill install moeru-ai/airi use-vishot-for-airi --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/moeru-ai/airi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/use-vishot-for-airi .claude/skills/use-vishot-for-airi && 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
use-vishot-for-airi
GitHub stars
50k
Token cost
~558 tokens
SKILL.md length
170 words
Files
2
Skills in repo
24
Repo updated
First seen
Licence
MIT

At a glance

Run AIRI-owned Vishot scenarios for stage-web or stage-tamagotchi, including skipping first-run onboarding and importing a local Live2D, VRM, or MMD display model before capture.

  • AIRI visual evidence must exercise a contributor-supplied avatar file instead of a preset model
  • SKILL.md covers Local model capture and Scenario contract
  • Calls pnpm

What it does

Use Vishot For Airi is an agent skill from moeru-ai/airi. Run AIRI-owned Vishot scenarios for stage-web or stage-tamagotchi, including skipping first-run onboarding and importing a local Live2D, VRM, or MMD display model before capture. Use when AIRI visual evidence must exercise a contributor-supplied avatar file instead of a preset model.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

The repository describes itself as: 💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of… The licence is MIT.

When your agent uses it

  • AIRI visual evidence must exercise a contributor-supplied avatar file instead of a preset model

Example prompts

  • “/use-vishot-for-airi”

What it can do on your machine

Read from SKILL.md and the folder at commit ec682e2. 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:

    • pnpm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    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

Use Vishot For Airi loads about 558 tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 170 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~558

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 moeru-ai/airi at commit ec682e2, republished under its MIT licence (© moeru-ai). 170 words, ~558 tokens.

Download SKILL.mdSave it as .claude/skills/use-vishot-for-airi/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
use-vishot-for-airi
description
Run AIRI-owned Vishot scenarios for stage-web or stage-tamagotchi, including skipping first-run onboarding and importing a local Live2D, VRM, or MMD display model before capture. Use when AIRI visual evidence must exercise a contributor-supplied avatar file instead of a preset model.

Use Vishot for AIRI

Invoke $use-vishot, $use-vishot-with-electron, and $use-vishot-with-input-file. Reuse the product helper at packages/scenarios-stage-tamagotchi-electron/src/scenarios/display-model-from-file.ts.

Local model capture

Build Electron, then pass the model path and explicit format through the environment:

bash
pnpm build:tamagotchi

AIRI_DISPLAY_MODEL_FORMAT=live2d \
AIRI_DISPLAY_MODEL_PATH='/Users/neko/Pictures/Project AIRI 静态资产/形象 - Iru/Live2D/Iru v2.0 @ Project AIRI 运行文件.zip' \
pnpm exec vishot capture \
  ./packages/scenarios-stage-tamagotchi-electron/src/scenarios/display-model-from-file.ts \
  --target electron \
  --app-entrypoint ./apps/stage-tamagotchi/out/main/index.js \
  --cwd . \
  --settle-ms 2500 \
  --output-dir ./.vishot/display-model/live2d

Use AIRI_DISPLAY_MODEL_FORMAT=vrm with a local file such as:

text
/Users/neko/Pictures/Project AIRI 静态资产/形象 - Iru/VRM/ReLU @ Project AIRI.vrm

Use AIRI_DISPLAY_MODEL_FORMAT=mmd with .zip, .pmx, or .pmd. A license-readable public candidate is CG-CA Gene, whose repository provides PMX/PMD models and textures under CC BY 4.0. Prefer a ZIP containing the model and its texture directories.

Scenario contract

The AIRI helper:

  • marks onboarding completed in the test profile and closes an already-open onboarding renderer;
  • opens Settings → Models through product-owned window helpers;
  • starts waiting for the Playwright file chooser before choosing Live2D, VRM, or MMD;
  • correlates the import through the new IndexedDB model key;
  • selects the imported card and waits for the main window selection to match;
  • captures the main stage and removes the imported fixture afterward.

Treat the capture as failed when it still shows a preset model, an import dialog, a blank stage, or a loading state. Inspect every generated image.

© moeru-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .agents/skills/use-vishot-for-airi of moeru-ai/airi.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit ec682e2

Compare with similar skills

Use Vishot For Airi 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.

Use Vishot For Airi compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Use Vishot For Airi this skillmoeru-ai/airi50k—~558Automated safety check: PassMIT
Classroom Stage Design MethodTHU-MAIC/OpenMAIC40k—~1.4kAutomated safety check: PassMIT
Scenarioscenario-labs/skills946—~6.2kAutomated safety check: PassMIT
Test Scenariosphuryn/pm-skills27k—~866Automated safety check: PassMIT
OpenMAIC Stage Document MapTHU-MAIC/OpenMAIC40k—~2.4kAutomated safety check: PassMIT
Multi Stage Dockerfilegithub/awesome-copilot40k3 repos~577Automated safety check: PassMIT

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  • Classroom Stage Design Method

    THU-MAIC/OpenMAIC

    Baseline procedure for building one new classroom stage: settle the page plan with you, create the stage, write the roster, then generate each page in order.

    40k GitHub stars~1.4k tokensUpdated today
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  • Scenario

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More from moeru-ai/airi

All 24 skills in this repo

  • Simple English

    moeru-ai/airi

    Write or rewrite technical text with the rules of ASD-STE100 Simplified Technical English so it is clear, unambiguous, and free of AI slop.

    50k GitHub starsUsed in 2 repos~4.6k tokens
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  • Enforce Rules For I18n

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    Review pending AIRI translations on Crowdin in a batch, then sync them into the repository.

    50k GitHub stars~1.5k tokensUpdated today
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  • Upload GitHub Attachment

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    Upload a local image or file to GitHub's user-attachments storage and return a URL suitable for issue, pull request, discussion, or comment Markdown.

    50k GitHub stars~554 tokensUpdated today
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  • Create PR

    moeru-ai/airi

    Prepare and create an AIRI pull request with verifiable change context, architecture evidence, and required visual evidence.

    50k GitHub stars~2.3k tokensUpdated today
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  • Use Agent Browser For Airi

    moeru-ai/airi

    Test AIRI display-model imports with agent-browser across stage-tamagotchi Electron, stage-web, and stage-pocket mobile web layouts.

    50k GitHub stars~1.1k tokensUpdated today
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  • Agent Browser Electron

    moeru-ai/airi

    A skill your agent uses when Codex needs to inspect, debug, or automate an Electron app through agent-browser and Chrome DevTools Protocol, especially when the app has multiple BrowserWindow…

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Questions about Use Vishot For Airi

What does Use Vishot For Airi do?

Run AIRI-owned Vishot scenarios for stage-web or stage-tamagotchi, including skipping first-run onboarding and importing a local Live2D, VRM, or MMD display model before capture. Use Vishot For Airi is an agent skill from moeru-ai/airi. Run AIRI-owned Vishot scenarios for stage-web or stage-tamagotchi, including skipping first-run onboarding and importing a local Live2D, VRM, or MMD display model before capture.

When should I use Use Vishot For Airi?

Use Vishot For Airi fits situations like: AIRI visual evidence must exercise a contributor-supplied avatar file instead of a preset model.

How do I install Use Vishot For Airi in Claude Code?

Run `npx skills add moeru-ai/airi --skill use-vishot-for-airi -a claude-code`. Or copy the skill folder (.agents/skills/use-vishot-for-airi in moeru-ai/airi) into .claude/skills/use-vishot-for-airi in your project. Claude Code loads it when a task matches its description.

How do I install Use Vishot For Airi in Codex?

Run `npx skills add moeru-ai/airi --skill use-vishot-for-airi -a codex`. Or copy the skill folder (.agents/skills/use-vishot-for-airi in moeru-ai/airi) into .agents/skills/use-vishot-for-airi in your project. Codex loads it when a task matches its description.

Can I use Use Vishot For Airi 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 moeru-ai/airi --skill use-vishot-for-airi -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/use-vishot-for-airi, .gemini/skills/use-vishot-for-airi, .github/skills/use-vishot-for-airi and .opencode/skills/use-vishot-for-airi in your project.

What does Use Vishot For Airi need to run?

Going by SKILL.md and its folder, Use Vishot For Airi needs the command-line tools its instructions call (pnpm).

Does Use Vishot For Airi access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Use Vishot For Airi 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 Use Vishot For Airi use?

Use Vishot For Airi 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 Use Vishot For Airi use?

About 558 tokens (SKILL.md is roughly 2.2k 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 Use Vishot For Airi?

Skills that share tags, products or a category with Use Vishot For Airi: Classroom Stage Design Method (THU-MAIC/OpenMAIC, 40k stars), Scenario (scenario-labs/skills, 946 stars), Test Scenarios (phuryn/pm-skills, 27k stars) and OpenMAIC Stage Document Map (THU-MAIC/OpenMAIC, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Use Vishot For Airi?

moeru-ai (a GitHub organization) maintains it in moeru-ai/airi, which has 50,267 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 11, 2026.

Source: moeru-ai/airi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.