qlib scores 81.9/100 — here are 3 actions to reach 96.9
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 48.7k
- Forks
- 7.7k
- PR merge metrics
- No merged PRs in 30d
Description
Hi 👋
Nerq independently analyzed microsoft/qlib and found a Trust Score of 81.9/100 (rank #3 of 7 in Finance).
Here are 3 specific actions to improve your score:
- Add SECURITY.md (+3 points)
- Add .well-known/agent.json (+1 points)
- Add Nerq Trust Badge (+1 points)
Top competitor: agent-openai-java-banking-assistant scores 83/100 in Finance.
Full improvement plan with copy-paste templates: https://nerq.ai/improve/microsoft/qlib?utm=badge_e
Each action includes ready-to-use code/config templates you can commit directly. Estimated new score after all actions: ~96.9/100.
This isn't about badges — it's about helping you ship more trustworthy software. The improvement plan is free and always available at the link above.
— Nerq
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names SECURITY.md and .well-known/agent.json, but no repository files or tests. Review the linked improvement plan and repository conventions first; done would mean deciding whether the three proposed additions belong in qlib and verifying the resulting files and badge integration.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, security
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 20/100