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1c Business Tests

Community
comol
1c-business-tests

Create, maintain and run reusable tests of 1C business logic using the project's verified framework or runner. Optional: the model chooses when persistent regression coverage adds value beyond a focused result check.

Overview

Publishercomol
Repositoryai_rules_1c
Skill name1c-business-tests
Stars
496
Forks
112
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the 1c Business Tests 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-business-tests
  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-business-tests .claude/skills/1c-business-tests
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 1c Business Tests 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 Business Tests 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 Business Tests 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-business-tests — reusable business-logic checks

Save executable checks for calculations, query results and business behavior that merit repeated verification. The model decides whether to use this skill; a reported regression, important boundary condition or recurring calculation is a useful trigger. A one-off read-only comparison through Gate 3a may be enough for a small change. Do not make test-suite creation a mandatory full-cycle stage.

Choose a verified execution path

Inspect the target project's tests, framework version, assertions, fixtures and run command. Reuse that framework and naming style. Confirm its actual API from project examples and authoritative documentation; never assume a module suffix, assertion signature, MCP tool or installed test extension from another repository.

If no suite exists, choose the smallest verified runner compatible with the task and available tooling. A callable MCP operation can help prepare or execute a check, but chat-only invocations are not a standalone runner. For a repeatable suite, save the case definitions plus a real project entry point or supported runner invocation. If none is available, identify the missing dependency and keep execution blocked; do not invent run_unit_tests, claim that a Markdown plan is an executable suite or install an extension silently.

Relevant project routing:

  • content/skills/1c-code-search/SKILL.md and content/skills/1c-meta-info/SKILL.md — locate the implementation and confirm test data shapes in the correct project / extension.
  • content/skills/1c-platform-help/SKILL.md — confirm platform / BSP behavior actually used by the test.
  • content/skills/1c-live-ib/SKILL.md — exact exposed live-IB calls and their limits; Gate 3a remains read-only and does not become a fixture writer.
  • content/skills/1c-metadata-manage/SKILL.md — any test module / metadata creation; installed test code is still subject to the ordinary metadata, repository and validation gates.

Define the cases before implementing them

For each relevant acceptance criterion record:

  • stable case ID, purpose and initial data;
  • action / input and explicit expected values or error;
  • target source / configuration state, required rights and execution context;
  • whether the case is read-only or mutating, and who owns its fixtures.

Choose representative normal, empty / boundary and failure cases according to the changed behavior. Assertions must distinguish the reported defect from correct behavior: successful execution or a nonempty result alone seldom proves a calculation or set of movements. Compare the relevant values, composition and counts against independently derived expectations. Test behavior through the intended contract instead of reproducing the implementation inside the assertion.

Author and execute

  1. Save tests using the existing framework conventions. Preserve deterministic inputs; avoid dependence on today's date, test order or arbitrary records from the database. Keep dataset size bounded to the behavior under test.
  2. Route saved BSL and metadata through the applicable gates in content/rules/verification-policy.md and content/rules/verification-gates.md before loading or running it. Tests do not exempt generated code from validation.
  3. Verify the target is an authorized dev/test infobase and matches the relevant sources / extension. Loading test modules or applying a test extension uses the existing infobase workflow, with one deployment owner. Framework availability alone does not authorize a deployment.
  4. For mutating scenarios, establish the authorized objects/actions, isolated fixtures, ownership identifiers and cleanup/recovery plan before execution. Existing authorization is reusable; do not ask twice. Do not run on production, alter shared reference data or assume that a transaction rollback reverses every side effect. Read-only tests must remain read-only, including their setup and teardown.
  5. Run the selected cases through the verified runner. Preserve its failure status; setup/teardown errors and zero discovered cases are failures or explicit blocked states, never passes. Capture case ID, expected/actual comparison, source/deployed state and report/log location without credentials or personal data.
  6. Clean up only data owned by this run through the authorized project mechanism, including after failures. Report incomplete cleanup separately without replacing the original test failure. An installed test module / extension is not silently removed or left enabled: follow the agreed lifecycle for this target.

UI_TESTING controls browser checks, not these server-side tests. Tool policy, infobase authorization and test-fixture boundaries still apply. A technical user's successful test does not establish another user's rights; an access-control scenario needs the intended verified identity.

Delivery

Provide the saved test files, verified framework/runner and exact run command, covered criteria and prerequisites. Separate authored, executed: passed, executed: failed and blocked/unverified; list fixture cleanup status when relevant. Static validation is not a runtime pass.

When a check fails, preserve its expectation unless evidence shows the specification itself needs clarification. Fix the in-scope cause and confirm affected checks within the existing verification budget. Do not turn skill selection into an unlimited test/fix loop. For saved browser scenarios use content/skills/1c-ui-regression/SKILL.md.

Frequently asked questions

What does the 1c Business Tests AI skill do?

Create, maintain and run reusable tests of 1C business logic using the project's verified framework or runner. Optional: the model chooses when persistent regression coverage adds value beyond a focused result check.

Why use 1c Business Tests on TypingMind?

Because you install it once and use it with any model. 1c Business Tests 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 Business Tests in TypingMind?

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

Which AI models can use 1c Business Tests?

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 Business Tests?

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

Is the 1c Business Tests 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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