Borrowing it
Nothing to install: this file belongs to AkinoKaede/bark-edgeone. 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/AkinoKaede/bark-edgeone/main/AGENTS.mdgit clone --depth 1 https://github.com/AkinoKaede/bark-edgeoneWrote 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/akinokaede/bark-edgeone/agents-md)<a href="https://agentmods.dev/instructions/akinokaede/bark-edgeone/agents-md"><img src="https://agentmods.dev/badge/instructions/akinokaede/bark-edgeone/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/akinokaede/bark-edgeone/agents-md"><img src="https://agentmods.dev/badge/instructions/akinokaede/bark-edgeone/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 | $0.01548 | $0.01548 |
| Opus 5.5 | $0.00619 | $0.00619 |
| Sonnet 5.5 | $0.00310 | $0.00310 |
| Haiku 4.5 | $0.00155 | $0.00155 |
Grade A, and why
bark-edgeone 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 2mo 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 — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Guidelines for Bark EdgeOne
This document provides coding guidelines and conventions for AI agents working on the Bark EdgeOne codebase.
Project Overview
Bark EdgeOne is a push notification server implementation for EdgeOne Pages Edge Functions, providing APNs integration with global edge deployment.
Tech Stack: TypeScript, EdgeOne Pages, Vitest, ESLint, Prettier
Build, Test, and Lint Commands
Build
npm run build # Compile TypeScript to dist/
npm run type-check # Type check without emitting files
Testing
npm test # Run all tests once
npm run test:watch # Run tests in watch mode
npm run test:coverage # Run tests with coverage report
# Run a single test file
npx vitest run src/utils/__tests__/string.test.ts
# Run tests matching a pattern
npx vitest run -t "isEmpty"
Linting and Formatting
npm run lint # Check for linting errors
npm run lint:fix # Auto-fix linting errors
npm run format # Format all files
npm run format:check # Check formatting without changes
Local Development
npx edgeone pages dev # Start local dev server on http://localhost:8788
Deploy to EdgeOne Pages
npx edgeone pages deploy # Start local dev server on http://localhost:8088
Project Structure
bark-edgeone/
├── src/ # Core source code
│ ├── apns/ # APNs integration (JWT, payload, push)
│ ├── handlers/ # Business logic handlers
│ ├── types/ # TypeScript type definitions
│ └── utils/ # Utility functions
├── edge-functions/ # EdgeOne edge function endpoints
│ └── api/ # API route handlers
├── node-functions/ # Node.js serverless functions
├── dist/ # Compiled output
└── __tests__/ # Test files (co-located with source)
Code Style Guidelines
Imports
- Use ES6 import syntax
- Import types with
typekeyword:import type { Foo } from './types' - Group imports: external packages first, then internal modules
- Use relative paths for local imports
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.
- 2mo ago First seen · 213 lines · 1,548 tokens per session scan A 599f60a8ebfd
bark-edgeone AGENTS.md is an instructions file published in the GitHub repository AkinoKaede/bark-edgeone (5 stars, last pushed 9mo ago), licensed Apache-2.0. It adds 1,548 tokens to every session, about $0.0062 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 2026-08-31.
bark-edgeone AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| bark-edgeone AGENTS.mdAkinoKaede/bark-edgeone | Instructions file | 5 | 9mo ago | Apache-2.0 | A | 1,548 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |