agentmods.dev

bsl-ai-toolkit: Instructions file for Gemini CLI

GEMINI.md

bsl-ai-toolkit GEMINI.md is an instructions file for Gemini CLI from vgtitov/bsl-ai-toolkit. It costs 3,069 tokens per session, scanned A, original, MIT.

A set of instructions for AI coding agents working on 1C:Enterprise 8.3 projects, including rules, skills, and metadata-editing guidance.

In plain words
What is it for?
It is for helping agents develop and edit 1C:Enterprise projects. The excerpt only identifies an AGENTS.md instruction file, so its full tasks are not described here.
Why use it?
It gives agents project-specific guidance so they can work from the real code and documentation instead of guessing.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

This is vgtitov/bsl-ai-toolkit's own configuration. It tells Gemini CLI how to work on bsl-ai-toolkit itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything bsl-ai-toolkit configures →

not rated 20repo +4 changed today A scan 3,069 tokens original MIT
View source ↗ vgtitov/bsl-ai-toolkit
Reuse

Borrowing it

Nothing to install: this file belongs to vgtitov/bsl-ai-toolkit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/vgtitov/bsl-ai-toolkit/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/vgtitov/bsl-ai-toolkit

Made for: Gemini CLI.

Wrote 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.

agentmods badge for bsl-ai-toolkit GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/vgtitov/bsl-ai-toolkit/gemini-md.svg)](https://agentmods.dev/instructions/vgtitov/bsl-ai-toolkit/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/vgtitov/bsl-ai-toolkit/gemini-md"><img src="https://agentmods.dev/badge/instructions/vgtitov/bsl-ai-toolkit/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 3,069 This file is loaded in full into every session.
When invoked 3,069 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.03069 $0.03069
Opus 5 $0.01535 $0.01535
Sonnet 5 $0.00614 $0.00614
Haiku 4.5 $0.00307 $0.00307

Measured today against content hash e4b30e38e1c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

bsl-ai-toolkit GEMINI.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 today.

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.

GEMINI.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — правила разработки на 1С:Предприятие с AI-агентом

Единый свод правил, общий для всех AI-агентов — не привязан к конкретному (по открытому стандарту agents.md). Из этого файла генерируются конфиги под конкретные агенты (Claude Code, Cursor, Gemini CLI, Copilot, Cline, Codex…) — см. adapters/ и build.sh. Claude Code не читает AGENTS.md нативно → подключается через @AGENTS.md в CLAUDE.md.

Область: 1С:Предприятие 8.3 (язык BSL) — конфигурации и расширения (типовые ERP/УТ/БП и отраслевые). Не 1С-Битрикс (это отдельный продукт — CMS на PHP), не Битрикс24. Правила org-agnostic: версии и конвенции настраиваются под свою конфигурацию (отмечено «НАСТРОЙ»).

Правило №0: перед работой — синхронизация

git pull toolkit и репозитория проекта (EDT-исходники / выгрузка конфигуратора). Обновить локальные клоны кода, по которым ищет MCP (onec-code). Не работать на устаревшем клоне — MCP покажет старый код, выводы будут неверны.

Версионный стек — НАСТРОЙ ПОД СВОЙ ПРОЕКТ

Зафиксируй и строго соблюдай: версия платформы 1С, режим совместимости, версия конфигурации, версии библиотек (БСП и др.). Принцип: справку брать по версии платформы, но НЕ предлагать API, недоступный в твоём режиме совместимости. Справка БСП — по реальной БСП своей версии. Опиши стек в core/skills/1c-dev/references/conventions-template.md.

Главное правило: спроси инструмент, не угадывай

Модель врёт в деталях 1С — сигнатурах методов, составе типовой, поведении платформы. Источник истины — реальный код и справка:

  • 1С-факты и сигнатуры — только по РЕАЛЬНОМУ коду (MCP onec-code: ripgrep по локальным клонам конфигурации и расширения) и по справке платформы, не по памяти. Искать в ОБОИХ слоях контура (конфигурация + расширение). Для точной навигации по своему коду (перейти к определению, найти все вызовы, узнать выведенный тип) — MCP bsl-ls-native: семантически, а не текстовым поиском, поэтому без ложных совпадений по имени.
  • После правки — прогнать BSL Language Server (MCP bsl-ls в комплекте, свободный). Механизм без сверки помечать [проверить], не «верно».
  • Нет поведения ни в коде, ни в справке — так и сказать.

Read the full file on GitHub · 119 lines

Changes

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.

  1. today Changed · +17 lines · +304 tokens per session e4b30e38e1c2
  2. 4d ago Changed · +101 lines · +2,760 tokens per session c15080cd9072
  3. 8d ago First seen · 1 lines · 5 tokens per session scan A d7318b3760a9

Subscribe to this mod's changes

bsl-ai-toolkit GEMINI.md is an instructions file published in the GitHub repository vgtitov/bsl-ai-toolkit (20 stars, last pushed today), licensed MIT. It adds 3,069 tokens to every session, about $0.0153 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.

1c1c-enterpriseClaude Codeaibslclaude
Related

Other instructions, from other repositories

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.

openai/codex · 5,153 tokens

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).

microsoft/vscode · 6,785 tokens

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.

vercel/next.js · 7,296 tokens

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.

langchain-ai/langchain · 4,469 tokens

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).

microsoft/vscode · 5,001 tokens

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.

github/spec-kit · 7,104 tokens