not analyzable — source repository is gone (deleted or private)
AI Integrity Receipts — generate, verify, and attest cryptographic receipts for commits with declared AI involvement. Release verification with SLSA-compatible VSA. Zero dependencies. Apache 2.0.
Source not yet analyzed — this grade rests on attested signals (CVEs, supply-chain) only. It is a floor: reading the code could raise it, not lower it.
- capability exposure inferred + 35
- abandonment inferred + 10
- trust mitigators mixed − 3
inferred mixed
The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.
graded 4m ago · see ecosystem CVEs →
- B · 32 → C · 42
- A · 0 → B · 32
No known CVEs for this server.
No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.
- abandonment +10 abandonment hub →
[](https://mcpobservatory.com/servers/github:invariant-systems-ai/aiir/security) Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of invariant-systems-ai.