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feat(evals): eval architecture + probe wave 1 — first BEHAVIORAL skill verdicts - #1033

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eval-harness-wave-1
Aug 5, 2026
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feat(evals): eval architecture + probe wave 1 — first BEHAVIORAL skill verdicts#1033
boshu2 merged 4 commits into
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eval-harness-wave-1

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@boshu2 boshu2 commented Aug 5, 2026

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What this is

The eval program for the skill harness, end to end: SOTA research (two adversarially-verified deep-research passes) → a 12-decision eval architecture → harness completion → the first measured probe wave → skill improvements driven by the measurements.

Wave-1 results (gpt-5.6-luna, xhigh + low effort, N=2/arm/config, directional)

Probe Skill xhigh C→T low C→T Verdict
premortem-self-validation premortem 0.5→1.0 0.0→1.0 BEHAVIORAL
standards-go-conventions standards 0.5→1.0 0.0→1.0 BEHAVIORAL
validate-not-proven validate 1.0→1.0 1.0→1.0 INERT (ceiling)
security-coverage-gap security 1.0→1.0 1.0→1.0 INERT (ceiling)
reality-check-gap reality-check 1.0→1.0 1.0→1.0 INERT (ceiling)
crank-luna crank 1.0→1.0 1.0→1.0 INERT (3rd config)

The effect grows as the producer weakens — the SkillsBench gradient reproduced locally. Full report: docs/evals/2026-08-04-probe-wave-1.md.

Verification (all in this branch's tree)

  • Go build + vet + 415 tests green (adapters/eval, eval, gates)
  • validate-skill-frontmatter 51/51; heal --check clean
  • shellcheck -S warning clean on all new/modified shell
  • probe-coverage gate: 4/11 measured (was 0/11); bats suite green
  • _stats vendored: 42 pytest green
  • Every wave cell replayable: bash scripts/probe-skill.sh --probe <id> --replay

Notes for review

  • evals/skill-probes/LEDGER.md is the new hand-maintained MEASURED ledger — moved out of generated SKILL-TIERS.md because a regen wiped it there (measured results can't live in generated files).
  • skills/premortem + skills/standards gained front-loaded MEASURED blocks (the exact prelude content the probes proved behavioral); codex twins regenerated on this clean baseline.
  • The architecture doc is PROPOSED — ratification is the repo owner's call; nothing in it is load-bearing for this PR's code.

…l verdicts

Research -> architecture -> harness -> measurement, one arc:

- docs/research/: SOTA skill-eval standards (SkillsBench/AFTER/statistics,
  adversarially verified) + formal-verification-for-agent-code (oracle-scarcity
  core: assertion density before simulators; Antithesis/TigerBeetle primary-
  source verified).
- docs/architecture/eval-architecture.md: 12 decisions — false-PASS rate as
  the trust metric, frozen weak-producer reference config, 3-stage adaptive
  arms, sequential stopping, digital-twin/metamorphic substrate, weekly-wave
  budget policy. PROPOSED pending ratify.
- Harness: MEASURED ledger moved to evals/skill-probes/LEDGER.md (own file —
  root-cause fix for the SKILL-TIERS regen wipe; gate/README/seed hint
  repointed); _stats vendored to evals/_stats (42 tests); probe-skill.sh
  gains --effort ratchet + producer provenance; skill-telemetry hook script
  (wiring per-machine via gitignored settings).
- Wave 1: 5 new probes + crank re-run x {xhigh, low} on gpt-5.6-luna, 48 runs,
  selftested deterministic discriminators, dual-config fixtures. FIRST
  BEHAVIORAL verdicts: premortem + standards (xhigh 0.5->1.0, low 0.0->1.0 —
  effect grows as producer weakens). validate/security/reality-check ceiling-
  saturated both efforts (scenario hardening queued, skills untouched). crank
  INERT across 3 configs (cull/reshape candidate).
- Measured cores hoisted into skills/premortem + skills/standards SKILL.md
  (MEASURED blocks with probe citations); codex twins regenerated.
- Coverage gate: 4/11 product/judgment skills measured (was 0/11).

Evidence: docs/evals/2026-08-04-probe-wave-1.md + scorecards/ + committed
fixtures (replay: bash scripts/probe-skill.sh --probe <id> --replay).
@boshu2
boshu2 enabled auto-merge (squash) August 5, 2026 00:48
boshu2 added 3 commits August 4, 2026 20:52
Three v2 probes bury the planted flaw in production-shaped noise (euphemized
not_checked under release pressure; scanner failure as soft mid-log WARN; gap
derivable only by cross-output arithmetic). Result: ALL still ceiling at
xhigh AND low on gpt-5.6-luna. reality-check-v2's apparent n=2 headroom
(0.5/0.5) resolved as sampling noise by sequential extension to n=6 (6/6 both
arms) — the D4 stopping rule catching a wrong conclusion in the wild.

Recorded conclusion: these doctrines are quiz-robust on frontier models; no
more quiz-hardening rounds — measurement moves to task-embedded Tier-2
fixtures where the doctrine must fire unprompted mid-work. Ledger +3 rows,
report gains Wave-2a section, scorecards under docs/evals/scorecards/2026-08-05/.
- images/gemini/skills/{premortem,standards}/SKILL.md: zero-conversion resync
  after the MEASURED-block edits (third runtime projection; codex twins were
  regenerated, gemini copies were missed — verify.sh drift gate caught it)
- formal-verification doc: 'validate/verdictcheck' phrasing parsed as a dead
  /verdictcheck slash-skill ref by check-doc-skill-refs --all-docs; reworded
@boshu2
boshu2 merged commit 51f5d64 into main Aug 5, 2026
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@boshu2
boshu2 deleted the eval-harness-wave-1 branch August 5, 2026 01:06
boshu2 added a commit that referenced this pull request Aug 5, 2026
…e-side) (#1037)

Transcript-verified (explicit 'I'm using agentops:<skill>' + skill-body
read;
self-reports alone proved unreliable twice). Flagship result: the
premortem
loop closed end-to-end — wave-1 measured doctrine, hoisted MEASURED
block
(PR #1033), codex worker routed unprompted, loaded the block, named
self-certification first citing the skill's key check. Runtime/model
confound labeled; product implication recorded: skills are THE delivery
channel on codex, one-of-several on Claude-in-repo — report per-runtime
delivery, not one routing number.
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