file-edit-efficiency

file-edit-efficiency is a cursor rule for coding agents from Desko77/cursor-1c-skills. It costs 15 tokens per session (1,139 once invoked), scanned A, original, MIT.

A guide for choosing efficient ways to find, read, and edit source files, based on the size and type of the change.

In plain words
What is it for?
Use it for bulk replacements across many files, precise edits in a few files, partial reads of large files, and method-level changes in 1C development projects.
Why use it?
It reduces repeated file reads and avoids loading large files into the assistant's working context when a smaller operation is enough.

Cursor rule

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/desko77/cursor-1c-skills/file-edit-efficiency
Clone the repo
git clone --depth 1 https://github.com/Desko77/cursor-1c-skills

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 file-edit-efficiency

README.md
[![agentmods](https://agentmods.dev/badge/rules/desko77/cursor-1c-skills/file-edit-efficiency.svg)](https://agentmods.dev/rules/desko77/cursor-1c-skills/file-edit-efficiency)
Your own site
<a href="https://agentmods.dev/rules/desko77/cursor-1c-skills/file-edit-efficiency"><img src="https://agentmods.dev/badge/rules/desko77/cursor-1c-skills/file-edit-efficiency.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,139 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00015 $0.01139
Opus 5 $0.00008 $0.00570
Sonnet 5 $0.00003 $0.00228
Haiku 4.5 $0.00002 $0.00114

Measured 4d ago against content hash 9457725723d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

file-edit-efficiency 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 4d 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.

rules/file-edit-efficiency.mdc · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

File Edit Efficiency

Стратегия минимизации токенов при чтении и редактировании файлов.

Применяется: при любых операциях чтения/редактирования файлов.


Выбор инструмента по задаче

Массовые однотипные замены (N файлов, одинаковый паттерн)

Grep → sed → grep (все через Bash):

  1. grep - найти текущие значения, убедиться в паттерне
  2. sed -i 's|old|new|' - заменить во всех файлах за один вызов
  3. grep - проверить результат

Не использовать Read+Edit для каждого файла - Read загружает весь файл в контекст, Edit требует предварительный Read. На N файлах это 2N вызовов и весь контент в контексте.

Точечные правки (1-2 файла, нужна точность)

Read → Edit:

  • Edit проверяет уникальность old_string - безопаснее чем sed
  • Read нужен один раз, потом можно делать несколько Edit по тому же файлу
  • Для больших файлов: Read с offset+limit вместо полного чтения

BSL-код в EDT-проектах (при наличии MCP)

MCP read_method_source → write_module_source:

  • Читает/пишет конкретный метод, а не весь модуль (экономия на файлах 3000+ строк)
  • write_module_source проверяет синтаксис автоматически
  • Режимы: searchReplace, replace, append

Поиск информации

Задача Инструмент Не использовать
Найти файл по имени/паттерну Glob Bash find, Agent
Найти строку в файлах Grep Bash grep/rg, Agent
Прочитать конкретный фрагмент Read (offset+limit) Read всего файла
Понять структуру большого модуля MCP get_module_structure Read всего файла
Широкий поиск по кодовой базе Agent (Explore) Серия Grep вручную

Кликабельная ссылка на файл (Cursor/VSCode)

Предпочтительный способ - формат @-references: @путь/от/корня/workspace/файл.ext:начало-конец. Работает с кириллицей, не тратит токены на tool-вызов.

Примеры:

  • @src/CommonModules/МодульИмя/Module.bsl:1-1
  • @МояКонфигурация/src/Catalogs/Контрагенты/ObjectModule.bsl:45-60

Когда @-references не подходит (путь вне workspace, например C:\Users\...) - fallback через tool-результат:

Read the full file on GitHub · 88 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. 4d ago First seen · 88 lines · 15 tokens per session scan A 9457725723d0

Subscribe to this mod's changes

file-edit-efficiency is a cursor rule published in the GitHub repository Desko77/cursor-1c-skills (55 stars, last pushed 2d ago), licensed MIT. It adds 15 tokens to every session and 1,139 once invoked, about $0.0001 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.