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YusefSyed/README.md

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  1. agent-eval-mutation-lab agent-eval-mutation-lab Public

    Reproducible experiments that check what tool-using agents actually did, including partial failures and unknown outcomes.

    Python

  2. tiraz-garment-completion tiraz-garment-completion Public

    A PyTorch garment-completion study measuring accuracy, calibration, and uncertainty when outfit context is missing.

    Python

  3. agent-proof agent-proof Public

    Run reviewer-selected checks and keep redacted, traceable evidence. A dependency-free TypeScript CLI.

    TypeScript

  4. callreclaim-webmcp callreclaim-webmcp Public

    A WebMCP missed-call desk where agents prepare replies and owners decide. Interactive demo with synthetic data.

    TypeScript

  5. effect-tracer effect-tracer Public

    Records what a Linux process tree actually did (file writes, connects, DNS, execs) into a hash-chained, Ed25519-signed ledger with a stdlib Python verifier. ptrace + seccomp; no root needed. eBPF b…

    Rust

  6. scopehaven-oss scopehaven-oss Public

    Checks what an AI agent actually did in your app, not what it said. Local, deterministic, Apache-2.0.

    JavaScript