Cclaw
C+ 73 completed
Bot
cli / python · small
82
Files
11,807
LOC
1
Frameworks
6
Languages
Pipeline State
completedRun ID
#302579Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
65.40Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:31Deduplication group #49459
Member of a group with 10 similar repo(s) — canonical #22735 view group →
Top concepts (8)
Project DescriptiontestingTestingFactoryTestingSearchConfigurationAuthentication
Repobility · open methodology · https://repobility.com/research/
🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
setup_loggingConfigures the application's logging system to write messages to both the console and a daily rotating file within the user's specified log directory. It accepts an optional string argument specifying the desired logging verbosity level, defaulting to "INFO". The function returns nothing and its pri
markdown_to_telegram_htmlConverts a string containing Markdown formatting into a Telegram-compatible HTML string. It accepts one string input and returns a modified string output, handling conversions for bold text, italics, inline and fenced code blocks, and Markdown links. The function's notable side-effect is temporarily
split_messageDivides an input string into a list of smaller strings, ensuring each chunk respects a specified length limit, which defaults to a predefined constant. It accepts the message text as a string and an optional integer limit. The function returns a list of strings, where each element is a segment of th
AI Prompt
Create a command-line AI assistant, similar to cclaw, that runs locally on Mac. The assistant should be powered by Telegram and the Claude Code. I need it to manage tasks and workflows using a file-based, session system instead of a database. Key features must include bot management commands like listing, adding, and removing bots, and running bots in both foreground and background (daemon) modes. It should also support a modular skill system, allowing users to attach skills defined via Markdown files or YAML files that integrate with external CLI tools.
python cli telegram ai-assistant subprocess macos command-line bot workflow
Generated by gemma4:latest
Catalog Information
The cclaw project is a personal AI assistant for users to manage their tasks and workflows using Telegram and the Claude Code.
Description
cclaw is a personal AI assistant that integrates with Telegram and Claude Code to provide users with a seamless experience in managing their tasks and workflows. It allows users to interact with their AI assistant through natural language, making it easy to perform various tasks without needing to switch between different applications. The project aims to simplify the way people work by providing an intuitive interface for task management.
الوصف
هذا المشروع هو مساعد شخصي للذين يريدون إدارة مهامهم والعملية بشكل سهل باستخدام تيليجرام وكلود كود. يمكن للمستخدمين التواصل مع المساعد عن طريق اللغة الطبيعية، مما يجعل من السهل على المستخدمين إنجاز المهام المختلفة دون الحاجة إلى الانتقال بين التطبيقات المختلفة.
Novelty
7/10Tags
task-management ai-assistant telegram-integration natural-language-interaction workflow-automation
Technologies
rich typer
Claude Models
claude-opus-4.6 claude (unknown version)
Quality Score
C+
72.7/100
Structure
85
Code Quality
61
Documentation
75
Testing
85
Practices
55
Security
82
Dependencies
65
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (80% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- Potential hardcoded secrets in 1 files
- 776 duplicate lines detected \u2014 consider DRY refactoring
- 2 'god files' with >500 LOC need decomposition
Recommendations
- Add a LICENSE file (MIT recommended for open source)
- Move hardcoded secrets to environment variables or a secrets manager
Security & Health
6.6h
Tech Debt (B)
High
DORA Rating
A
OWASP (100%)
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
PASS
Quality Gate
A
Risk (1)
Unknown
License
7.0%
Duplication
Languages
Frameworks
pytest
Symbols
function188
variable35
constant34
class3
property1
Concepts (8)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Repobility · MCP-ready · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Personal AI assistant powered by Telegram + Claude Code. A multi-bot, file-based session system that runs locally on Mac. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | testing | Detected testing layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Factory | Found factory/create_ naming patterns | 60% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Testing | Detected from 12 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Search | Detected from 3 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Configuration | Detected from 2 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Authentication | Detected from 4 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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BinComp Dependency Hardening
All packages →4 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.