A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
This week brought improvements to the red teaming workflow, adding the ability to resume interrupted runs and fixing a crash in the RailFence cipher when rails are minimal. The team also addressed stability issues across multiple fronts: bounded stalled streaming responses in MCP and agent scans,…
Get this in your inbox every Monday →A deterministic 0–100 hygiene score — README, license, CI, tests, docs, and freshness.
Who ships this repo — author concentration and the bus factor across the last 300 mainline commits.
How welcoming this repo is to contributors — issue throughput, close time, responsiveness, and good-first-issue count.
What this project is built on — dependency count by ecosystem, the license mix, and anything worth a legal look before you adopt it.
Whether this project's CI can be trusted — pass rate, run times, flaky runs, and which workflow is the weak link.
Grounded in AI-Infra-Guard's README, structure, and recent commits — answers won't invent code they haven't seen.
A Monday email with what shipped, in plain English — no account needed.
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[AIG-Bot] add vulnerability rules 2026-10-02 (117 CVE rules + 5 fingerprints) (#685)
[AIG-Bot] add vulnerability rules 2026-09-25 (154 CVE rules + 9 fingerprints) (#679)
fix(skill-scan): keep fallback tool-call parameters with their own call (#684)
A floor, not a guess: counts only commits whose author, co-author trailer, or message explicitly credits an AI tool (Claude, Copilot, Cursor, aider, Codex…). Based on 30 mainline commits. Unattributed AI code isn't counted here — the full audit estimates that separately.
