io.github.johnbeans/ten

MCPcommunity
v0.1.0io.github.johnbeansUnknownUpdated 3mo agoGitHub

Ten formal algebra for machine intelligence — encode, decode, compose, and verify

Ten is a language designed for machines, not people. It is a formal algebra whose messages can be composed, projected, filtered, sorted, and verified through mathematical operations — not parsed through natural language understanding. Ten is not human-readable by design. The problem: AI agents today communicate using natural language or JSON stuffed into protocols like MCP and A2A. This works,…

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3mo agoLast update
Package
Authorio.github.johnbeans
LicenseUnknown
Version0.1.0
Sourcemcp-registry
GitHubjohnbeans/Ten
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.1.0 · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

Ten is a language designed for machines, not people. It is a formal algebra whose messages can be composed, projected, filtered, sorted, and verified through mathematical operations — not parsed through natural language understanding. Ten is not human-readable by design. The problem: AI agents today communicate using natural language or JSON stuffed into protocols like MCP and A2A. This works, but it's profoundly wasteful. Every receiving AI must parse ambiguous text, infer intent, and guess at…

Keywords
mcp