Conkurrence — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Conkurrence (Plugin) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
Aggregate score unchanged between these scans.
The primary manifest — the file an agent reads to learn what this artifact does.
Multi-model rating for AI evaluation: measures agreement among model raters (Fleiss' κ, Kendall's W) to find contested items for expert review.
What agreement tells you: where your raters and your criteria are consistent, and where they are not — which items are contested, and whether disagreement comes from the criteria or the raters.
What it does not tell you: that the raters are right. Agreement is reliability, not validity. Models can agree confidently on a wrong answer. Use ConKurrence to decide where an expert's judgment is needed and to diagnose your evaluation criteria — not to replace expert-labelled ground truth.
Status: maintenance mode. ConKurrence is developed by JE Vectors LLC as the evaluation instrument behind Inqura. It is not accepting purchases and carries no support commitment.
npm install -g conkurrenceUse ConKurrence as an MCP server in Claude Desktop or any MCP-compatible client:
npx conkurrence mcpAdd to your claude_desktop_config.json:
{
"mcpServers": {
"conkurrence": {
"command": "npx",
"args": ["-y", "conkurrence", "mcp"]
}
}
}/plugin marketplace add AlligatorC0der/conkurrence| Tool | Description |
|---|---|
conkurrence_run | Execute an evaluation across multiple AI raters |
conkurrence_report | Generate a detailed markdown report |
conkurrence_compare | Side-by-side comparison of two runs |
conkurrence_trend | Track agreement over multiple runs |
conkurrence_suggest | AI-powered schema suggestion from your data |
conkurrence_validate_schema | Validate a schema before running |
conkurrence_estimate | Estimate cost and token usage |
BUSL-1.1 — Business Source License 1.1
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.