Borrowing it
Nothing to install: this file belongs to Bannovich/arabic-word-production. 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/Bannovich/arabic-word-production/main/AGENTS.mdgit clone --depth 1 https://github.com/Bannovich/arabic-word-productionWrote 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/bannovich/arabic-word-production/agents-md)<a href="https://agentmods.dev/instructions/bannovich/arabic-word-production/agents-md"><img src="https://agentmods.dev/badge/instructions/bannovich/arabic-word-production/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/bannovich/arabic-word-production/agents-md"><img src="https://agentmods.dev/badge/instructions/bannovich/arabic-word-production/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 | $0.00220 | $0.00220 |
| Opus 5 | $0.00110 | $0.00110 |
| Sonnet 5 | $0.00044 | $0.00044 |
| Haiku 4.5 | $0.00022 | $0.00022 |
Grade A, and why
arabic-word-production 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 yesterday.
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.
What it actually says
Local continuation protocol
Read CONTINUATION.md before continuing work in this repository. Verify its checkpoint against the working tree; preserve unfinished changes.
Update CONTINUATION.md after each completed milestone and before handing work back. Record changes, actual verification results, pending work, and the exact next action. Distinguish tested results from historical reports. Do not mark unfinished work complete.
Keep checkpoints on disk as work proceeds. A final response is not a substitute for saving the checkpoint. Never include credentials, identity documents, private conversations, or account billing data in tracked files.
Keep the package identifier arabic-word-production and Apache-2.0 license. The approved display name is Arabic DOCX RTL and the selected visual is concept 2. Consult assets/BRANDING.md before changing identity assets.
Do not create recurring follow-ups: the maintainer cancelled the five-hour monitor. Final OpenAI review submission or publication requires the maintainer's explicit confirmation at the time of action. Check current authorization before external integration; preparing local changes does not imply publication.
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.
- yesterday First seen · 12 lines · 220 tokens per session scan A 71727a5b1c27
arabic-word-production AGENTS.md is an instructions file published in the GitHub repository Bannovich/arabic-word-production (7 stars, last pushed yesterday), licensed Apache-2.0. It adds 220 tokens to every session, about $0.0011 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 2026-09-10.
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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.