erf-init

erf-init is a skill for Claude Code from timoshinoleg-eng/1c-ai-workbench. It costs 35 tokens per session (400 once invoked), scanned A, original, MIT.

A scaffolding tool for creating an empty external 1C report, a report package stored outside the main 1C application. It can optionally include an empty data composition schema.

In plain words
What is it for?
Use it to start a new report, optionally add its data schema, and prepare it for adding forms, layouts, help text, and later building into an ERF file.
Why use it?
It removes the need to create the initial report metadata and folder structure by hand.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the 1c-skills plugin — 71 skills, 2 hooks shipped together

Good fit Use it to start a new report, optionally add its data schema, and prepare it for adding forms, layouts, help text, and later building into an ERF file.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/timoshinoleg-eng/1c-ai-workbench/erf-init
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.

Any agent
npx skills add timoshinoleg-eng/1c-ai-workbench --skill erf-init
Clone the repo
git clone --depth 1 https://github.com/timoshinoleg-eng/1c-ai-workbench

Made for: Claude Code.

Or install 1c-skills, the plugin that ships this one along with the rest of its 71 skills, 2 hooks.

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 erf-init

README.md
[![agentmods](https://agentmods.dev/badge/skills/timoshinoleg-eng/1c-ai-workbench/erf-init/github.svg)](https://agentmods.dev/skills/timoshinoleg-eng/1c-ai-workbench/erf-init)
Your own site
<a href="https://agentmods.dev/skills/timoshinoleg-eng/1c-ai-workbench/erf-init"><img src="https://agentmods.dev/badge/skills/timoshinoleg-eng/1c-ai-workbench/erf-init/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.

agentmods 80×15 button for erf-init

Your own site · 80×15
<a href="https://agentmods.dev/skills/timoshinoleg-eng/1c-ai-workbench/erf-init"><img src="https://agentmods.dev/badge/skills/timoshinoleg-eng/1c-ai-workbench/erf-init.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 400 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00035 $0.00400
Opus 5 $0.00017 $0.00200
Sonnet 5 $0.00007 $0.00080
Haiku 4.5 $0.00003 $0.00040

Measured 10d ago against content hash bbfd299b3400, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

erf-init 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 10d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/init.ps1, scripts/init.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

tools/cc-1c-skills/.claude/skills/erf-init/SKILL.md · 43 lines

What it actually says

/erf-init — Создание нового отчёта

Генерирует минимальный набор XML-исходников для внешнего отчёта 1С: корневой файл метаданных и каталог отчёта.

Usage

/erf-init <Name> [Synonym] [SrcDir] [--with-skd]
Параметр Обязательный По умолчанию Описание
Name да Имя отчёта (латиница/кириллица)
Synonym нет = Name Синоним (отображаемое имя)
SrcDir нет src Каталог исходников относительно CWD
--WithSKD нет Создать пустую СКД и привязать к MainDataCompositionSchema

Команда

powershell.exe -NoProfile -File "${CLAUDE_SKILL_DIR}/scripts/init.ps1" -Name "<Name>" [-Synonym "<Synonym>"] [-SrcDir "<SrcDir>"] [-WithSKD]

Дальнейшие шаги

  • Добавить форму: /form-add
  • Добавить макет: /template-add
  • Добавить справку: /help-add
  • Собрать ERF: /erf-build
Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 10d ago First seen · 43 lines · 35 tokens per session scan A bbfd299b3400

Subscribe to this mod's changes

erf-init is a skill published in the GitHub repository timoshinoleg-eng/1c-ai-workbench (0 stars, last pushed 23d ago), licensed MIT. It adds 35 tokens to every session and 400 once invoked, about $0.0002 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 2026-08-31.

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