AIRI is a self-hosted virtual AI companion that gives an AI character a voice, visual presence, memory, and the ability to interact with games and coding activity. People use it as a personal digital companion on the web, macOS, or Windows, including for voice chat and gameplay. The catalogue add-ons provide workflows for working with the AIRI project.
Borrowing it
Nothing to install: this file belongs to moeru-ai/airi. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/moeru-ai/airi/main/.agents/skills/enforce-rules-for-i18n/SKILL.mdgit clone --depth 1 https://github.com/moeru-ai/airiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/moeru-ai/airi/enforce-rules-for-i18n)<a href="https://agentmods.dev/skills/moeru-ai/airi/enforce-rules-for-i18n"><img src="https://agentmods.dev/badge/skills/moeru-ai/airi/enforce-rules-for-i18n/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/moeru-ai/airi/enforce-rules-for-i18n"><img src="https://agentmods.dev/badge/skills/moeru-ai/airi/enforce-rules-for-i18n.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00062 | $0.01409 |
| Opus 5.5 | $0.00025 | $0.00564 |
| Sonnet 5.5 | $0.00012 | $0.00282 |
| Haiku 4.5 | $0.00006 | $0.00141 |
Grade A, and why
enforce-rules-for-i18n scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 15d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Crowdin batch review for AIRI
This skill reviews the translations that wait for approval on the AIRI Crowdin project. An agent judges each translation. A person applies the result with their own token.
Requirements
- Node.js 24 or later, and
pnpm installin this repository. The check script imports the placeholder rule from.github/scripts/check-locales.ts. - A Crowdin personal access token with proofreader or manager access to the AIRI project. Create it in Crowdin: Account Settings > API > Personal Access Tokens.
- The project id defaults to
816610, the id incrowdin.ymlofmoeru-ai/airi. To use another project, setCROWDIN_PROJECT_ID.
Token rules
- The person sets the token in their own terminal. The agent never asks for, reads, prints, or passes the token.
- Set the token for the current terminal only. Do not write it into a shell profile.
read -rs "CROWDIN_PERSONAL_TOKEN?Crowdin token: " && export CROWDIN_PERSONAL_TOKEN
The command above is for zsh. In bash, use read -rsp "Crowdin token: " CROWDIN_PERSONAL_TOKEN && export CROWDIN_PERSONAL_TOKEN.
Workflow
The scripts read and write their files in the current directory. Run them from a work directory outside the repository, so the review files stay out of Git. <repo> is the root of this repository.
-
Check (person runs). This step is read-only.
node <repo>/.agents/skills/enforce-rules-for-i18n/scripts/pending-review.mjsIt prints a table for each language. It writes
crowdin-pending-review.jsonwith all pending translations. It writescrowdin-pending-review.mdwith the flagged ones only: placeholder mismatch, same as English, and bad whitespace.If the table shows 0 pending, there is nothing to review. Go to step 5.
-
Review (agent). Read
crowdin-pending-review.jsonand judge every entry with the policy below. Writecrowdin-review-decisions.json:{ "approve": [{ "languageId": "es-ES", "file": "stage.yaml", "key": "a.b", "text": "..." }], "reject": [{ "languageId": "es-ES", "file": "stage.yaml", "key": "a.b", "text": "...", "reason": "..." }] }
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 15d ago First seen · 110 lines · 62 tokens per session scan A daccd5fbb2ff
enforce-rules-for-i18n is a skill published in the GitHub repository moeru-ai/airi (50,528 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 1,409 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-06.
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