Chorgi
D 51 completed
Other
library / python · small
73
Files
6,132
LOC
0
Frameworks
5
Languages
Pipeline State
completedRun ID
#1507773Phase
doneProgress
0%Started
2026-04-16 13:13:12Finished
2026-04-16 13:13:12LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
30.75Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47371
Member of a group with 311 similar repo(s) — canonical #1523155 view group →
Repobility · code-quality intelligence · https://repobility.com
AI Prompt
Create a personal assistant agent using Python that connects to Telegram. The agent should use a fast-path classifier (Haiku) for simple questions and spawn a Claude Code sub-agent for complex tasks. It needs to dynamically discover and utilize skills placed in the `/skills/` directory, which are defined by a `CLAUDE.md` file and a `config.json`. Also, implement support for scheduled tasks defined in `/schedules/` and manage user context and memory in the `.personal/` directory.
python telegram ai-agent claude automation library chatbot cli
Generated by gemma4:latest
Catalog Information
Create a personal assistant agent using Python that connects to Telegram. The agent should use a fast-path classifier (Haiku) for simple questions and spawn a Claude Code sub-agent for complex tasks. It needs to dynamically discover and utilize skills placed in the /skills/ directory, which are defined by a CLAUDE.md file and a config.json. Also, implement support for scheduled tasks defined in /schedules/ and manage user context and memory in the .personal/ directory.
Tags
python telegram ai-agent claude automation library chatbot cli
Quality Score
D
50.6/100
Structure
46
Code Quality
62
Documentation
69
Testing
0
Practices
54
Security
75
Dependencies
90
Strengths
- Consistent naming conventions (snake_case)
Weaknesses
- No LICENSE file — legal ambiguity for contributors
- No tests found — high risk of regressions
- No CI/CD configuration — manual testing and deployment
- 432 duplicate lines detected — consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Recommendations
- Add a test suite — start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
- Add a LICENSE file (MIT recommended for open source)
Languages
Frameworks
None detected
Symbols
function179
constant58
method48
variable17
class8
Embed Badge
Add to your README:
BinComp Dependency Hardening
All packages →2 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.