boxlite-ai / boxlite-ai/boxlite
Add your HVTrust badge to the README?
- Dominant language
- Rust
- Stars
- 2.3k
- Forks
- 179
- Avg merge
- 23h 25m
- Merged PRs (30d)
- 121
Description
Hi BoxLite maintainers 👋
I maintain **HVTracker** ([hvtracker.net](https://hvtracker.net)) — an independent, open trust registry for AI agents and MCP servers. Projects are scored on public, verifiable signals only: release/package **provenance** and signed commits, **OpenSSF Scorecard**, download/maintenance evidence, and supply-chain checks. Every project gets a transparent **HVTrust score + letter grade**. There's no pay-to-rank, and the [methodology](https://hvtracker.net/methodology/) is fully public.
**BoxLite is already listed**, and here's where it currently stands:
> **HVTrust 74.7 · Grade B** — ranked #72 of 417 tracked projects
> Full evidence breakdown: https://hvtracker.net/agents/boxlite/
If you'd like to surface that on your README, here's the embed — it **auto-updates** as your score changes, so it stays accurate over time:
```markdown
[](https://hvtracker.net/agents/boxlite/)
```
Prefer a letter grade or a 30-day trend arrow instead of the score? Just swap the image URL for `https://hvtracker.net/badge/boxlite-grade.svg` or `https://hvtracker.net/badge/boxlite-trend.svg`.
A few projects already embed theirs — e.g. [Haystack](https://github.com/deepset-ai/haystack), [Composio](https://github.com/ComposioHQ/composio), and [LightRAG](https://github.com/HKUDS/LightRAG).
If you think a signal is off, we correct on evidence — no account needed: https://hvtracker.net/correct/
No pressure at all: if this isn't useful to you, please just close the issue and I won't follow up. Thanks for building BoxLite! 🙏
Contributor guide
Research direction
Open the repository README and find the badges or project introduction section. Add the supplied HVTrust badge there if the project accepts this kind of external status link, then preview the rendered Markdown and confirm the badge links to the BoxLite HVTrust page.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Quiet
- Clarity
- Clearly specified
- Newbie friendliness
- 72/100