Borrowing it
Nothing to install: this file belongs to NourMtir0722/Paperlab. 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/NourMtir0722/Paperlab/main/AGENTS.mdgit clone --depth 1 https://github.com/NourMtir0722/PaperlabWrote 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/nourmtir0722/paperlab/agents-md)<a href="https://agentmods.dev/instructions/nourmtir0722/paperlab/agents-md"><img src="https://agentmods.dev/badge/instructions/nourmtir0722/paperlab/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/nourmtir0722/paperlab/agents-md"><img src="https://agentmods.dev/badge/instructions/nourmtir0722/paperlab/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 | $0.14989 | $0.14989 |
| Opus 5.5 | $0.05996 | $0.05996 |
| Sonnet 5.5 | $0.02998 | $0.02998 |
| Haiku 4.5 | $0.01499 | $0.01499 |
Grade A, and why
Paperlab AGENTS.md scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Paperlab renders physical, realistic paper as a React component. Content is a texture on a mesh that genuinely bends — text and imagery curl with perfect continuity. This file is the dense reference for agents integratin How it starts
The opening of the file, as written. The whole thing — 863 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paperlab — for coding agents
Paperlab renders physical, realistic paper as a React component. Content is a texture on a mesh that genuinely bends — text and imagery curl with perfect continuity. This file is the dense reference for agents integrating Paperlab into a project or contributing to this repo.
Reading as a human rather than as an agent? The reference is the same catalogue with everything rendering live.
Integrating Paperlab into a project
npm i paperlab three @react-three/fiber gsap
Peer requirements: React ≥ 19, three ≥ 0.160. TypeScript types ship with the package.
import { Paper } from 'paperlab'
// Simplest: a built-in preset. <Paper> owns its own <Canvas> and fills its
// parent — THE PARENT MUST HAVE A HEIGHT or the canvas renders 0px tall.
<Paper preset="receipt-unroll" />
// Or configure inline (all fields optional, validated by zod):
<Paper
sheet={{ width: 1, height: 2.6, thickness: 0.3 }}
stock="thermal" // printer | thermal | kraft | newsprint | vellum | photo-gloss | sticker
content={{ type: 'receipt', store: 'acme.dev', items: [{ name: 'Widget', price: 9.99 }] }}
behavior={{ type: 'unroll', progress: 0.6, tightness: 0.5, sway: 0.3 }}
surface={{ grain: 0.3, deckle: { edges: ['bottom'], roughness: 0.5 } }}
physics="none" // 'none' | float | tumble | dangle | taped | breeze | 'cloth' | 'strip' | {type:…}
interactive // drag handles / grab cloth
autoplay // play the behavior loop on mount
/>
Inside an existing React Three Fiber scene use <PaperMesh /> (same props, no Canvas). For galleries use <PaperField />:
import { PaperField } from 'paperlab'
<PaperField
images={['/a.jpg', '/b.jpg', '/c.jpg']}
preset="photo-print"
layout="ring" // ring | fan | spread | pile | wall | spill | sweep | book | accordion | rack | colonnade | sheet
layoutOptions={{ radius: 3, tiltDeg: 8 }}
motion={{ driver: 'autoplay', speed: 0.5 }} // autoplay | drag | none
entrance={{ type: 'rise', stagger: 0.06 }} // rise | scatter | none
/>
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.
- 1mo ago Changed · +27 lines · +1,143 tokens per session ff3875e23650
- 1mo ago Changed · -8 lines · +106 tokens per session 7c735dadb04c
- 1mo ago Changed · +28 lines · +498 tokens per session 3dcbc40773d4
- 2mo ago Changed · +346 lines · +6,026 tokens per session 8e66d999510f
- 2mo ago First seen · 470 lines · 7,216 tokens per session scan A 11aadc208d1f
Paperlab AGENTS.md is an instructions file published in the GitHub repository NourMtir0722/Paperlab (67 stars, last pushed 3d ago), licensed Apache-2.0. It adds 14,989 tokens to every session, about $0.0600 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Paperlab AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Paperlab AGENTS.mdNourMtir0722/Paperlab | Instructions file | 67 | 3d ago | Apache-2.0 | A | 14,989 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 3d ago | MIT | A | 4,313 | Codex, OpenCode |