PRML (Pre-Registered ML Manifest) makes AI evaluation claims tamper-evident: nine YAML fields serialized to canonical bytes and committed to a SHA-256 before the run. Verification is offline and deterministic — PASS / FAIL / TAMPERED as CI exit codes — and requires no server to exist. Four reference implementations (Python, JavaScript, Go, Rust) reproduce 21 conformance vectors byte-for-byte, checked daily in CI. The schema is in SchemaStore; the tool is listed in the UK AI Security Institute's Inspect extensions catalog; OpenSSF Best Practices 100%. Relevant to EU AI Act Art. 9(8), which requires testing high-risk AI against prior defined metrics and thresholds.
Fund this project
Sat, 22 Aug 2026 16:24:51 UTC
There was a problem with this listing's funding.json manifest.
If it is not fixed, the listing will be removed from the portal.
Crawl error
error: https://github.com/studio-11-co/falsify/blob/main/funding.json returned 429