Borrowing it
Nothing to install: this file belongs to meishanlaoyao/elysia-admin. 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/meishanlaoyao/elysia-admin/master/AGENTS.mdgit clone --depth 1 https://github.com/meishanlaoyao/elysia-adminWrote 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/instructions/meishanlaoyao/elysia-admin/agents-md)<a href="https://agentmods.dev/instructions/meishanlaoyao/elysia-admin/agents-md"><img src="https://agentmods.dev/badge/instructions/meishanlaoyao/elysia-admin/agents-md/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/instructions/meishanlaoyao/elysia-admin/agents-md"><img src="https://agentmods.dev/badge/instructions/meishanlaoyao/elysia-admin/agents-md.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 | $0.00807 | $0.00807 |
| Opus 5 | $0.00404 | $0.00404 |
| Sonnet 5 | $0.00161 | $0.00161 |
| Haiku 4.5 | $0.00081 | $0.00081 |
Grade A, and why
elysia-admin AGENTS.md 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 10d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Elysia Admin — Codex Global Rules
Maintainer: synced with
.cursor/rules/general.mdc— edit both when changing global rules. Cursor users: canonical copy isgeneral.mdc; this file avoids duplicating the full tree for token savings.
Full-stack admin: Vue 3 + TypeScript (admin/) + Elysia + Bun (server/). Structure: .ai/AI_STRUCTURE.md.
Dependency Direction (Strict)
admin → server (HTTP only)
modules → core | shared | infrastructure | other modules' exported handle functions
core/shared/infrastructure ✗→ modules
modules ✗→ other modules' @database/schema (cross-table data via owner exported handle function)
shared ✗→ core/database
Generation Principles
- Plan ≤5 lines → list files → minimal code
- Patterns: backend →
.ai/AI_CODE_EXAMPLES_BACKEND.md; frontend →.ai/AI_CODE_EXAMPLES_FRONTEND.md(section only) - No new deps; no unrelated refactors; ask before schema changes
dto.ts: validated fields neederrorwith Chinese user-facing text (error, noterrorMessage)- Soft delete & uniqueness: uniqueness checks account for soft-deleted rows; new unique → partial index
WHERE del_flag = false - Form validation both sides: frontend
rules+ backenddto.ts;handle.tsJSDoc on every export - Rule-file language: English AI docs → new/changed prose in English (this edit only); Chinese OK for product copy / trigger phrases
dict_type: short semanticsnake_case(e.g.goods_status); reuse via MCP; skip dict for pure boolean —.ai/AI_HANDOFF_SQL.md
Module Dev Triggers
- Prefer
.cursor/skills/elysia-module-dev/SKILL.md;AI_MODULE_WORKFLOW.mdonly if ambiguous - Standard CRUD →
AI_MODULE_SCAFFOLD.md+create:module/create:page - Layered rules:
server/AGENTS.md(backend),admin/AGENTS.md(frontend)
Handoff SQL: file only — developer runs manually. Git: read-only unless user asks.
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.
- 10d ago First seen · 69 lines · 807 tokens per session scan A d1540ebc5ae9
elysia-admin AGENTS.md is an instructions file published in the GitHub repository meishanlaoyao/elysia-admin (49 stars, last pushed yesterday), licensed MIT. It adds 807 tokens to every session, about $0.0040 per session on Opus 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 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.