Evidence, scores, and the verdict above are computed by nittim. The written read below — this summary and every finding’s narrative — is Claude’s.The evidence, scores, and the verdict above are computed by nittim. The written explanation below — this summary and every finding’s write-up — is Claude’s, the AI assistant that reviewed your code.nittim computes the evidence, scores, and verdict. Claude writes the summary below.

PyJWT is a mature, widely-deployed open-source library implementing JSON Web Tokens/JWS/JWK per the relevant RFCs. The audited snapshot shows a security-conscious, well-architected, thoroughly tested codebase with strong CI/CD (multi-version test matrix, trusted PyPI publishing, coverage gates, pre-commit linting, strict mypy). The code demonstrates deliberate defenses against the classic JWT attack classes — algorithm-confusion (HMAC key-shape rejection, PyJWK algorithm binding), the 'none' algorithm, RFC 7797 b64/crit handling, JWKS URI scheme restriction, and unauthenticated work-amplification on detached payloads. The deterministic scanner's 8 secret hits are all test fixtures (RFC 7520 test vectors and example tokens in tests/), not live credentials. No known-vulnerable dependencies. As a library it legitimately does not implement runtime observability, infrastructure, or data-persistence concerns, and those dimensions are scored accordingly. This is a standard, prior-art-heavy RFC implementation with no novel defensible IP to protect. Overall this is production-grade software; the findings below are minor and largely informational.