dokion

dokion is a skill for Codex from imMamdouhaboammar/vibe-svgs. It costs 0 tokens per session (641 once invoked), scanned A, original, MIT.

A repository-specific development guide for the Dokion Python codebase, covering file names, imports, exports, and commit style.

In plain words
What is it for?
Use it when adding or changing Dokion Python files, choosing imports and exports, or preparing commits.
Why use it?
It gives coding agents the local conventions they need to make changes that fit the existing project instead of applying generic Python habits.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it when adding or changing Dokion Python files, choosing imports and exports, or preparing commits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/immamdouhaboammar/vibe-svgs/dokion
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 imMamdouhaboammar/vibe-svgs --skill dokion
Clone the repo
git clone --depth 1 https://github.com/imMamdouhaboammar/vibe-svgs

Made for: Codex.

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 dokion

README.md
[![agentmods](https://agentmods.dev/badge/skills/immamdouhaboammar/vibe-svgs/dokion/github.svg)](https://agentmods.dev/skills/immamdouhaboammar/vibe-svgs/dokion)
Your own site
<a href="https://agentmods.dev/skills/immamdouhaboammar/vibe-svgs/dokion"><img src="https://agentmods.dev/badge/skills/immamdouhaboammar/vibe-svgs/dokion/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 dokion

Your own site · 80×15
<a href="https://agentmods.dev/skills/immamdouhaboammar/vibe-svgs/dokion"><img src="https://agentmods.dev/badge/skills/immamdouhaboammar/vibe-svgs/dokion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 641 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 $0.00000 $0.00641
Opus 5 $0.00000 $0.00320
Sonnet 5 $0.00000 $0.00128
Haiku 4.5 $0.00000 $0.00064

Measured 12d ago against content hash e941befbc04c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

dokion 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 12d 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.

.agents/skills/dokion/SKILL.md · 97 lines

What it actually says

# dokion Development Patterns

> Auto-generated skill from repository analysis

## Overview
This skill teaches the core development patterns and conventions used in the `dokion` Python repository. You'll learn how to structure files, write imports and exports, and follow commit and testing practices specific to this codebase. This guide is essential for contributing code that aligns with the established style and workflow of the project.

## Coding Conventions

### File Naming
- Use **kebab-case** for all file names.
  - **Example:**  
    ```
    my-module.py
    data-processor.py
    ```

### Import Style
- Use **relative imports** within the package.
  - **Example:**  
    ```python
    from .utils import parse_data
    from .models import Document
    ```

### Export Style
- Use **named exports** to explicitly define what is available from a module.
  - **Example:**  
    ```python
    def process_document(doc):
        # processing logic
        return ...

    __all__ = ["process_document"]
    ```

### Commit Patterns
- Commit messages are freeform, with no strict prefixes.
- Average commit message length is about 58 characters.
  - **Example:**  
    ```
    Add initial document parsing logic and tests
    ```

## Workflows

### Adding a New Module
**Trigger:** When you need to introduce new functionality.
**Command:** `/add-module`

1. Create a new Python file using kebab-case (e.g., `new-feature.py`).
2. Implement your logic, using relative imports for dependencies.
3. Define named exports via `__all__`.
4. Write corresponding test files (see Testing Patterns).
5. Commit your changes with a clear, descriptive message.

### Updating an Existing Module
**Trigger:** When modifying or extending current functionality.
**Command:** `/update-module`

1. Locate the relevant module file.
2. Make changes, ensuring you maintain relative import style.
3. Update `__all__` if new exports are added.
4. Update or add tests as needed.
5. Commit with a descriptive message.

### Running Tests
**Trigger:** To verify code correctness after changes.
**Command:** `/run-tests`

1. Identify test files matching the `*.test.*` pattern.
2. Run tests using your preferred Python test runner (framework is unspecified).
   - **Example:**  
     ```
     python my-module.test.py
     ```
3. Review output and fix any failing tests.

## Testing Patterns

- Test files use the `*.test.*` naming convention.
  - **Example:**  
    ```
    parser.test.py
    utils.test.py
    ```
- The testing framework is not specified; use standard Python testing approaches.
- Place tests alongside or near the modules they cover.

## Commands
| Command         | Purpose                                      |
|-----------------|----------------------------------------------|
| /add-module     | Scaffold and implement a new module          |
| /update-module  | Update existing module and maintain exports  |
| /run-tests      | Run all test files matching `*.test.*`       |
Files

What ships with it

1 file 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. 12d ago First seen · 97 lines · 0 tokens per session scan A e941befbc04c

Subscribe to this mod's changes

dokion is a skill published in the GitHub repository imMamdouhaboammar/vibe-svgs (3 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 641 tokens. 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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