Closes the CI-reachable slice of the Phase 1 infra gaps:
- trust-layer job: cargo test + clippy -D warnings + fmt
- target-gates-no-net: fetches pinned targets (new targets/fetch.sh),
regenerates + verifies corpora, runs 'just gates tokei'
mechanically, and executes the bench workload inside a
--network=none container (SPEC 3.1/10 no-net requirement)
- runner-calibration (informational): A/A + injection harness measures
the shared runner's noise floor per run, evidence uploaded as an
artifact — environments are judged empirically, not assumed
- perf-probe (informational): reports which perf event sources work
docs/infra.md maps each remaining hardware requirement (pinned cores,
governor/SMT control, separate-uid trust layer) to the bench-metal
self-hosted runner setup a human can complete in ~15 min.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EcKPWQ3MQD4NdEHwar96u2
Commit the spec and scaffold the system it describes:
- SPEC.md: the full v0.1 engineering spec
- crates/: trust-layer Rust workspace, unit-tested
- bench-runner: interleaved ABAB scheduling with discarded warm-ups,
deterministic bootstrap CIs over the ratio of medians,
CI-lower-bound accept rule, env fingerprinting, and a CLI with
compare + A/A self-test modes (A/A verified passing end-to-end)
- diff-test: gate outcome model, sha256 corpus pin verifier that
refuses on mismatch, per-target equivalence policy parser
(byte-identical default, explicit fp-tolerance opt-in)
- ledger: append-only SQLite attempt schema with UPDATE/DELETE
refused by triggers, anti-double-attempt query
- report: cores-saved and dollars/yr ROI math over speedup CIs,
pricing.toml inputs
- playbook/: classes 1-7 with preconditions, procedure, verification
notes, and known failure modes per class
- agent/: Python package skeleton — six-tool contract and prompting
spine, harness IPC deferred to Phase 1
- config/: accept.toml (2% threshold, 30 runs/side), pricing.toml
- targets/, corpora/, results/calibration/: layout and policy docs
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EcKPWQ3MQD4NdEHwar96u2
Claude