Oddsense
D 57 completed
Cli Tool
unknown / rust · tiny
36
Files
6,231
LOC
0
Frameworks
3
Languages
Pipeline State
completedRun ID
#304149Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
40.93Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #48152
Member of a group with 1 similar repo(s) — canonical #94586 view group →
Top concepts (4)
Project DescriptionCLI ToolFactorySearch
Repobility · MCP-ready · https://repobility.com
🧪 Code Distillation
Browse all specs →AI Prompt
Create a command-line intelligence layer for prediction markets, similar to oddsense. It needs to be written in Rust and function as an agent-native CLI. The core functionality should allow users to search markets across multiple sources like Polymarket, Kalshi, and Metaculus. I also need commands to enrich queries with sentiment from news and Reddit, detect market divergence from sentiment, surface trending signals based on volume, and find cross-platform arbitrage opportunities. Make sure the output is structured JSON and that the CLI is designed to be composable via Unix pipes.
rust cli command-line prediction-markets finance intelligence agent-native json
Generated by gemma4:latest
Catalog Information
oddsense is an agent-native CLI intelligence layer for prediction markets, providing analysis, enrichment, signals, and cross-source intelligence.
Description
oddsense is a command-line interface (CLI) that aggregates data from existing CLIs like polymarket-cli, performs real-world sentiment analysis, divergence detection, and arbitrage discovery. It treats upstream data sources as input and focuses on providing analysis, enrichment, signals, and cross-source intelligence.
الوصف
هو CLI يجمع البيانات من CLIs موجودة مثل polymarket-cli، يقوم بتحليل الرأي العام، اكتشاف الفجوات، واكتشاف الفرص للاستثمار. يعتبر مصدر البيانات كمصدر للبيانات الداخلة في العملية.
Novelty
7/10Tags
prediction-markets data-aggregation sentiment-analysis divergence-detection arbitrage-discovery
Technologies
serde tokio
Claude Models
claude-opus-4.6
Quality Score
D
57.4/100
Structure
53
Code Quality
70
Documentation
48
Testing
0
Practices
80
Security
100
Dependencies
80
Strengths
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- No tests found \u2014 high risk of regressions
- No CI/CD configuration \u2014 manual testing and deployment
- 455 duplicate lines detected \u2014 consider DRY refactoring
Recommendations
- Add a test suite \u2014 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
Security & Health
7.6h
Tech Debt (C)
Medium
DORA Rating
A
OWASP (100%)
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)
PASS
Quality Gate
A
Risk (3)
MIT
License
5.7%
Duplication
Languages
Frameworks
None detected
Symbols
function124
struct44
extension17
constant9
enum4
trait2
Concepts (4)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Agent-native CLI for prediction market intelligence. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | CLI Tool | cli | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Factory | Found factory/create_ naming patterns | 60% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Search | Detected from 3 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
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