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1c Change Package

Community
comol
1c-change-package

Hand a 1C change to a human instead of editing sources: manual Configurator package («Найти» / «Заменить целиком на») or review diff. For vendor-locked, binary-form or MCP-only cases, or «ручное внесение», «покажи дифф».

Overview

Publishercomol
Repositoryai_rules_1c
Skill name1c-change-package
Stars
496
Forks
112
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by comol on GitHub. Read the source before you install it.

Installation

Install the 1c Change Package AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-change-package
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/comol/ai_rules_1c.git /tmp/ai_rules_1c
mkdir -p .claude/skills
cp -r /tmp/ai_rules_1c/content/skills/1c-change-package .claude/skills/1c-change-package
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 1c Change Package in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads 1c Change Package on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so 1c Change Package is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

1c-change-package — manual implementation and review packages

The deliverable is a document, not an edit: the agent reads the current code, designs the change and hands over a package that a human applies in the Configurator (manual mode) or reviews (review mode). Nothing is written to the sources, the infobase or the repository. The idea is adapted from the bsl-change-review skill of AzeevAN/mcp-1c (Apache-2.0); the text and the evidence vocabulary are this ruleset's own.

When this is the deliverable

  • Manual — the agent must not or cannot write the change itself: a vendor object «на замке» the user chose not to take off support or borrow into an extension (content/skills/1c-metadata-manage/docs/support-manage.md); an ordinary / binary form (content/rules/forms.md — ordinary forms are not edited as Form.xml); an object locked in the configuration repository by another user (content/skills/1c-repository-manage/SKILL.md — never bypass the lock); the code is reachable only through MCP; or the user asked for instructions / code to copy.
  • Review — the user wants to see the change before it is applied: «покажи дифф», «покажи изменения», «сравни текущий и новый код», «сделай ревью изменения».
  • The user named a mode — keep it. Both fit and the goal is unclear — ask one short question before reading a reference.

Read exactly one reference for the chosen mode: references/manual-implementation.md or references/review.md.

Common procedure

  1. Current source, verbatim. Read the exact current text of every procedure, block, form and property the change touches — a local file first, MCP (1c-code-search, 1c-meta-info, 1c-form-inspect) when the sources are not local. Never reconstruct current code from memory or a summary. No exact text → that change is blocked — <reason>.
  2. Fix the snapshot. Record for each source: configuration / extension (or unverified), full address (object, module, procedure / form, element), where it was read (file path or MCP tool), platform version, and a fingerprint — the file hash or a hash of the exact text read (the same artifact fingerprint content/rules/verification-gates.md → Gate execution and evidence reuse uses).
  3. Minimal change. Only what the task requires (AGENTS.md → Development Procedure, step 3); an unfinished part is listed as unfinished, never presented as done.
  4. Prove the API. Before writing Переменная.Метод(), establish the variable's type from its creation, assignment or the returning function; then confirm <Тип>.<Метод> and its signature with docinfo / bsl_scope_members (content/skills/1c-platform-help/SKILL.md). A method whose return value or failure matters is confirmed the same way. What cannot be confirmed is unverified, and code that depends on it is blocked — never a placeholder.
  5. Gates on the proposed code. The new blocks have no file yet, so Gate 1 runs on the text (syntaxcheck), followed by the rest of the chain at the active depth — content/rules/verification-gates.md, budget content/rules/verification-policy.md. Generated XML goes through verify_xml. A gate that could not run is not run — <reason>.
  6. Staleness check. Re-read every source right before delivery and compare the fingerprint: same → current; changed → the package is stale, redo it or mark it blocked — source changed since <time>; cannot re-read → unverified.
  7. Deliver. By default the whole package goes into the reply. Write a file only to a path the user gave: an explicit file path is used as is; for an explicit directory the file is IMPLEMENTATION.md (manual) or change-review.md (review). Never write to the project root, the current directory, the skill directory or a scratch folder on your own. If the write fails, return the package in the reply and say so.
  8. Self-review. Re-read the package against the source as an independent reviewer: every «Найти» block is verbatim, every line order is real, no check is claimed that did not run.

Evidence vocabulary

The package reuses the ruleset's delivery vocabulary (content/rules/verification-delivery.md, content/rules/verification-gates.md); no second set of states:

StateMeaning
passedthe gate or check ran on the current state; name the tool and its result
not run — <reason>the check applies but did not run (tool not exposed, no dev / test base, out of budget)
unverifieda fact the package relies on was not established — a property value not read, a type not proven, a match count not counted, a scenario not confirmed
blocked — <reason>a correct block cannot be written (missing code, missing contract, stale source); nothing is invented in its place

Behaviour requires expected-vs-actual evidence from an authorized infobase check (Gate 3a) or UI confirmation under UI_TESTING (1c-tester, /deploy-and-test — content/rules/verification-delivery.md → Soft gates — run when applicable). Static gates and review alone do not prove runtime outcomes. Plan checks in the package; a scenario nobody confirmed is unverified, never «done». The usual evidence lines (Memory:, Template:, Docs:, …) follow the package when they apply; Metadata tooling: / Repository tooling: do not, because the package changes nothing.

Boundaries

  • Reading files and calling read-only MCP tools gives no permission to change the configuration, the infobase, the repository or a container. Applying the package, compiling in the Configurator, updating an infobase and capturing / committing repository objects are separate actions with their own authorization.
  • No secrets and no customer code in shared places.
  • A package is never a way around a gate: a vendor lock, a repository lock or a refused tool stays in force, and the package says who applies the change and where.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the 1c Change Package AI skill do?

Hand a 1C change to a human instead of editing sources: manual Configurator package («Найти» / «Заменить целиком на») or review diff. For vendor-locked, binary-form or MCP-only cases, or «ручное внесение», «покажи дифф».

Why use 1c Change Package on TypingMind?

Because you install it once and use it with any model. 1c Change Package is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install 1c Change Package in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-change-package. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use 1c Change Package?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with 1c Change Package?

As many as you like. As long as a model supports skills, you can use 1c Change Package with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 1c Change Package AI skill free?

It is published on GitHub by comol. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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