# hotpath task runner. `just --list` for a summary. # Build the trust-layer workspace build: cargo build --workspace # Run all trust-layer unit tests test: cargo test --workspace # Lint: warnings are errors in the trust layer lint: cargo clippy --workspace --all-targets -- -D warnings cargo fmt --all --check # A/A self-test of the bench harness against a sample command. # Must print a null verdict; an "accept" is a calibration failure. aa cmd="sleep 0.05": cargo run -p bench-runner -- --config config/accept.toml aa --cmd "{{cmd}}" # Interleaved A/B comparison of two shell commands compare baseline candidate: cargo run -p bench-runner -- --config config/accept.toml compare \ --baseline "{{baseline}}" --candidate "{{candidate}}" # Verify a target corpus against its pinned manifest (never rewrites it) pin-check target: cd corpora/{{target}} && sh gen-corpus.sh --check # Deliberately re-pin a target corpus manifest — a trust-layer change; # review and commit the new MANIFEST.sha256 with justification pin-corpus target: @echo "WARNING: rewriting corpora/{{target}}/MANIFEST.sha256 — deliberate human action (corpora/README.md)" cd corpora/{{target}} && sh gen-corpus.sh --pin # Automated calibration: N A/A sessions (<5% false-positive required) + # N injected-slowdown sessions (>=95% detection required), JSON evidence calibrate cmd out sessions="20": cargo run -p bench-runner -- --config config/accept.toml calibrate \ --cmd "{{cmd}}" --sessions {{sessions}} --out "{{out}}" # Equivalence gates for a target: corpus + test-suite pins (refuse on # mismatch) -> upstream tests -> golden replay. Differential fuzz needs a # pristine baseline to differ against, so it reports Skipped here and runs # for real on the accept path; sanitizers likewise run in verdict. gates target: cargo run -p diff-test -- {{target}} # One-shot attempt verdict: gates on candidate -> interleaved A/B vs a # pristine-rebuilt baseline -> ledger row. Extra flags pass through # (--patch-file, --needs-human-review, --baseline-bin). verdict target candidate run_id class hypothesis hotspot *flags: cargo run -p verdict -- {{target}} --rebuild-baseline \ --candidate-bin "{{candidate}}" --run-id "{{run_id}}" \ --playbook-class {{class}} --hypothesis "{{hypothesis}}" \ --hotspot "{{hotspot}}" {{flags}} # One unattended agent attempt behind the SPEC §10 OS boundary: # harnessd (trusted uid) on a Unix socket, agent loop as user hpagent. agent-attempt target run_id max_turns="40": sh scripts/agent-isolated.sh {{target}} {{run_id}} {{max_turns}} # Verify the OS boundary from the agent user's side (negative + positive) isolation-check: sh scripts/isolation-check.sh # Install the coz causal profiler (apt, else source build) install-coz: sh scripts/install-coz.sh # Causal profile of a C/C++ target: where a speedup would raise throughput coz target iters="200": sh scripts/coz-profile.sh {{target}} {{iters}} python3 scripts/coz-summary.py results/{{target}}/coz/profile.coz # Service mode (Phase 4): interleaved A/B latency bench of two server # binaries under coordinated-omission-correct open-loop load. p50/p99 CIs. service baseline candidate doc *flags: cargo run -p bench-runner -- --config config/accept.toml service \ --baseline-bin "{{baseline}}" --candidate-bin "{{candidate}}" \ --doc "{{doc}}" --pin "taskset -c 2" {{flags}} # Service-mode calibration: A/A false-positive + injected latency-regression # detection (SPEC §3.1); writes JSON evidence. service-calibrate server doc out *flags: cargo run -p bench-runner -- --config config/accept.toml service-calibrate \ --server-bin "{{server}}" --doc "{{doc}}" --pin "taskset -c 2" \ --out "{{out}}" {{flags}} # Mechanical ROI report from a ledger row (SPEC §9): throughput→cores→ # dollars and/or latency percentiles, CIs + methodology printed inline. report run_id *flags: cargo run -p report -- --run-id "{{run_id}}" {{flags}} # Learned playbook-class ranking from the ledger (SPEC §13 research fork) policy *flags: cargo run -p policy -- {{flags}}