`fix-engine.mjs` carried its own copy of the valid `effortLevel` list, and
that copy had gone stale on `xhigh` (CC 2.1.154's top Opus tier) while
`settings-validator.mjs` had all five. The nearest-match "fix" therefore
corrected `xhig` — and `XHIGH` — to `high`: the tool silently changed the
tier the user asked for, in the one code path whose whole job is to write
the corrected value back to disk.
Fixed by sharing the validator's table instead of aligning the copy, so the
two cannot drift again. Guard asserts the blanket invariant — a one-character
near-miss on EVERY valid tier corrects back to that same tier — rather than
pinning the one level that happened to be missing; verified red against the
original stale array.
Suite 1488/0. Frozen v5.0.0 snapshots untouched.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014P6Rh59Mtj4uYrdYMCYZJE
The CC settings schema is passthrough (verified against the 2.1.193 binary): it
forwards unrecognized keys unchanged rather than rejecting them, so an arbitrary
unknown key is valid/forward-compatible, not an error — the finding's "silently
ignored" claim was factually wrong. The only real risk is a TYPO of a real key
(the intended setting then silently has no effect). Fix: flag an unknown key only
when it closely matches a known key (new levenshtein helper; edit distance <= 2,
both keys >= 4 chars); severity medium -> low; honest passthrough framing in the
scanner + humanizer. Also refreshed KNOWN_KEYS with 6 binary-verified keys
(agentPushNotifEnabled, remoteControlAtStartup, skipAutoPermissionPrompt,
skipDangerousModePermissionPrompt, skipWorkflowUsageWarning, tui). Suite 1341/0
(+12). Frozen v5.0.0 snapshots untouched (0 CA-SET findings there), no re-seed.
Dogfood ~/.claude/settings.json 6->0 (all 6 keys above were false unknown-key
findings; 0 typo flags introduced across 167 walked files).
settings-validator now validates the autoMode block (auto-mode classifier
config). Structure (medium): autoMode must be an object whose only keys are
environment/allow/soft_deny/hard_deny, each a string array ("$defaults" is a
valid entry); flags not-an-object, unknown-subkey, not-string-array. Dead-config
(low): Claude Code does not read autoMode from shared project settings
(.claude/settings.json), so an autoMode block committed there has no effect —
keyed on file.scope === 'project'.
Both premises primary-source-verified (code.claude.com/docs/en/auto-mode-config).
The plan's "test per-file scope first" gate passed: ConfigFile already carries
scope. SET is in the orchestrator; SC-5 re-checked, byte-equal (snapshot fixture
has no autoMode). Fixtures force-added (.claude/ is gitignored).
Tests +5 (944->949). Scanner count unchanged (13). --json/--raw byte-stable.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ter3E2JSi1Khgmuf2kady8
Fase 4 Items 2+3 (CC 2.1.114→181 gap-review). New orchestrated scanner
`skill-listing-scanner.mjs` (prefix SKL) flags every active skill whose
description exceeds the verified 1,536-char listing cap (CC 2.1.105, changelog
L1502). Past the cap, Claude Code silently truncates the description the model
reads to route skill invocation — dropping the trigger phrases at the tail.
HOME-scoped over all user + plugin skills via enumerateSkills (COL is the model).
- CA-SKL-001 (medium): description > 1,536 chars. Remediation folds in Item
2(b) — recommends disableBundledSkills + skillOverrides + trimming
(designvalg A: no standalone GAP-check, which would fire for nearly everyone).
- Designvalg B: v1 ships the verified cap ONLY. The aggregate 2%-of-context
listing budget is deferred — it needs a context-window assumption that would
turn a verified fact into a guess (would carry a CALIBRATION_NOTE if added).
- Choice C: recognize the skillOverrides settings key (CC 2.1.129) in
KNOWN_KEYS. Left OUT of TYPE_CHECKS — the value is a per-skill object
(off/user-invocable-only/name-only), not a string; a 'string' check (as the
plan sketched) would create a NEW false positive. Verify-first deviation.
Registration: scan-orchestrator (13th scanner), humanizer (SKL → 'Wasted
tokens' + static/_default translations), scoring SCANNER_AREA_MAP (→ Token
Efficiency; no 11th area), README badge 12→13, CLAUDE.md (finding-id +
test-count), docs/scanner-internals.md, gap-matrix + plan status notes.
Snapshots reseeded hermetically (SEED_SNAPSHOT/UPDATE_SNAPSHOT): SKL entry with
0 findings in empty HOME, scanners_ok 11→12, claudeMdEstimatedTokens bump from
the CLAUDE.md edits flowing through the cascade. Contamination grep clean.
Suite 868/868 (856 baseline + 11 SKL + 1 skillOverrides). RED→GREEN logged
per cycle.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ter3E2JSi1Khgmuf2kady8
Add /ultraresearch-local for structured research combining local codebase
analysis with external knowledge via parallel agent swarms. Produces research
briefs with triangulation, confidence ratings, and source quality assessment.
New command: /ultraresearch-local with modes --quick, --local, --external, --fg.
New agents: research-orchestrator (opus), docs-researcher, community-researcher,
security-researcher, contrarian-researcher, gemini-bridge (all sonnet).
New template: research-brief-template.md.
Integration: --research flag in /ultraplan-local accepts pre-built research
briefs (up to 3), enriches the interview and exploration phases. Planning
orchestrator cross-references brief findings during synthesis.
Design principle: Context Engineering — right information to right agent at
right time. Research briefs are structured artifacts in the pipeline:
ultraresearch → brief → ultraplan --research → plan → ultraexecute.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
