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invariant-systems-ai/aiir

https://github.com/invariant-systems-ai/aiir · scanned 2026-06-16 04:28 UTC (2 months ago)

1 raw signals (0 security + 1 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months ago · v1 · 1 actionable finding from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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55.6% cov · 1 findings

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Severity: Critical 0 High 0 Medium 1 Low 0 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 1 Crowd 0 Layer: Quality 1

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Scan summary Repository scanned at 94.0/100 with 55.6% coverage. It contains 43 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 1 findings — concentrated in quality (1). Risk profile is low: 0 critical, 0 high, 1 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 1 of 1 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium System graph quality Agent instructions conf 1.00 Agent authority lacks a verifier contract: AGENTS.md

This agent instruction grants code or shell authority but does not state the verification gate that decides promotion. The recurring safe pattern is: LLM proposes; deterministic tests/build/security checks verify; only verified code promotes.

AGENTS.md VerificationAgents md

For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.

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