sbhooley/ainativelang
AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, validation and control, and lower dependence on long prompt loops. AINL is a compact, graph-canonical, AI-native programming system for (READ: README)
Scanned 2026-10-08 · gemini v1
Dimension breakdown
Security
75/100
2 findings
Quality
85/100
2 findings
License
90/100
No findings
Completeness
70/100
2 findings
Findings (6)
- HIGHcompletenessMissing MCP manifest
- MEDIUMsecurityLarge dependency surface area
- MEDIUMcompletenessIncomplete MCP documentation
- LOWqualityComplex module structure
- INFOsecurityProactive supply chain protection
Detailed file:line citations + recommended fixes are visible to the maintainer of this repo after claiming the listing.
Maintainer of this repo?
Claim this listing in 30 seconds with GitHub OAuth. You'll see detailed findings, get notified about matched bounties, and can trigger re-scans on demand.
Claim listingEmbed the badge.
Drop it into your README. Every view backlinks to this verification page.
Markdown
[](https://archimedes.market/r/sbhooley/ainativelang)HTML
<a href="https://archimedes.market/r/sbhooley/ainativelang"><img src="https://archimedes.market/api/badge/sbhooley/ainativelang.svg" alt="Archimedes Trust Verified"/></a>Browse bounties
Find paid engineering work matching this skill set
Verify another repo
Free, 30 seconds
MCP integration
Surface bounties + verified engineers via MCP
This report is generated automatically from public code and may be wrong. Maintainer? Request a re-scan or removal.