Cash Claw
D 60 completed
Other
cli / typescript · small
62
Files
9,898
LOC
0
Frameworks
4
Languages
Pipeline State
completedRun ID
#1542550Phase
doneProgress
0%Started
2026-04-16 21:30:14Finished
2026-04-16 21:30:14LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
40.41Framework unique
—Isolation
—Last stage change
2026-05-10 03:34:46Deduplication group #47807
Member of a group with 383 similar repo(s) — canonical #1585986 view group →
Repobility · MCP-ready · https://repobility.com
🧪 Code Distillation
Browse all specs →AI Prompt
Create a command-line tool, similar to Cash-Claw, that functions as an autonomous AI revenue agent. I need it to manage an execution loop that can discover revenue streams and complete tasks without manual input. The tool should support an interactive setup wizard that guides the user through configuring an LLM provider (like OpenAI or Anthropic), setting up Stripe for payments, and connecting a chat platform like Telegram. It must also include commands to check the system status, pause, resume, or manually trigger a planning cycle. The core logic should be built using TypeScript.
typescript cli ai-agent automation llm stripe telegram autonomous command-line
Generated by gemma4:latest
Catalog Information
Create a command-line tool, similar to Cash-Claw, that functions as an autonomous AI revenue agent. I need it to manage an execution loop that can discover revenue streams and complete tasks without manual input. The tool should support an interactive setup wizard that guides the user through configuring an LLM provider (like OpenAI or Anthropic), setting up Stripe for payments, and connecting a chat platform like Telegram. It must also include commands to check the system status, pause, resume,
Tags
typescript cli ai-agent automation llm stripe telegram autonomous command-line
Quality Score
D
59.7/100
Structure
67
Code Quality
59
Documentation
58
Testing
35
Practices
61
Security
82
Dependencies
80
Strengths
- CI/CD pipeline configured (github_actions)
- Consistent naming conventions (PascalCase)
- Good security practices — no major issues detected
- Properly licensed project
Weaknesses
- Potential hardcoded secrets in 1 files
- 1056 duplicate lines detected — consider DRY refactoring
- 2 'god files' with >500 LOC need decomposition
Recommendations
- Add a test suite — start with critical path integration tests
- Add a linter configuration to enforce code style consistency
- Move hardcoded secrets to environment variables or a secrets manager
Languages
Frameworks
None detected
Symbols
method304
variable240
interface56
function28
class21
type_alias17
constant7
property3
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