io.github.AlligatorC0der/conkurrence

MCPcommunity
v1.0.3io.github.AlligatorC0derUnknownUpdated 2mo agonpmGitHub

Measure whether your AI agrees with itself using statistical consensus metrics.

One command. Find out if your AI agrees with itself. []( [](./LICENSE.md) []() ConKurrence measures whether multiple AI models produce consistent outputs on your evaluation tasks — using the same psychometric methods trusted in clinical research (Fleiss' κ, Kendall's W, bootstrap confidence intervals). Stop guessing whether your golden dataset is reliable. Know statistically. You now know is…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
2mo agoLast update
Package
Authorio.github.AlligatorC0der
LicenseUnknown
Version1.0.3
Sourcemcp-registry
npmconkurrence
GitHubAlligatorC0der/conkurrence
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—
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface12 tools · none privileged
Security scan✓ Cleanv1.0.3 · 20d 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

One command. Find out if your AI agrees with itself. []( [](./LICENSE.md) []() ConKurrence measures whether multiple AI models produce consistent outputs on your evaluation tasks — using the same psychometric methods trusted in clinical research (Fleiss' κ, Kendall's W, bootstrap confidence intervals). Stop guessing whether your golden dataset is reliable. Know statistically. You now know is reliable, needs review, and should be redesigned before trusting it. Your golden dataset has a hidden…

Keywords
mcp