feat(idea-spark): quality gauntlet upgrades + run-state navigator + SKILL.md slimdown

[fistyee]

One squashed commit upgrading the idea-spark skill on three fronts, validated on real runs.

Effectiveness

• Dual-channel collision check (Phase 3.1). Signature channel: candidate's own signature_terms[] @ 10-month window (was 6). NEW alias channel: alias_terms[] — other communities' names for the same mechanism, produced from parametric knowledge at Phase 2.2 — @ 48-month window. This closes a lexical blind spot window-widening can't: a real run's "goal-image conditioned scorer" had 2023-24 near-ancestors published as "goal-conditioned success detectors", invisible to both the topical Phase 0 queries and the candidate-vocabulary signature terms. Hits carry a collision_channel tag; the audit is instructed not to age-discount alias-channel threats. Backstop: a new parametric_family_concern soft signal (family name + query vocabulary, never paper cites) flows into Phase 4 reviewer_concerns as a "run a scoop-check on X first" flag.
• 5th audit check + the single audited kill-switch exception. falsification_structure_check audits the falsification paragraph's structure (minimal experiment / outcome metric + direction / ONE load-bearing variable / non-tautological negative control) — previously demanded at generation but never audited, and unrepairable due to the kill-switch. Now repairable through one gated door: a scope=falsification revision target applies via a dedicated rewrite_falsification op; the merger verifies audit authorization (--critique), stamps falsification_rewritten, and a bounded single-check re-audit must pass before Phase 4. kill_switch_integrity re-bases the byte-identity anchor at Phase 3.3 on that path; compute_budget stays sealed under every op and scope.
• Bounded internal retry before abandon. Phase 2.1's sibling sampling is random, so a single abandon often reflects an unlucky draw. The run now archives the failed attempt under attempt_1/, marks .retry_used, and regenerates Phase 2.1+2.2 once with the failed audit + selection as negative constraints. The one-shot guarantee bars asking the user, not internal regeneration.

Efficiency

• next subcommand (scripts/next_step.py): a read-only run-state navigator that inspects the run dir and prints exactly one next step (a verbatim bash command, or an LLM sub-agent spec with prompt/inputs/output paths). It encodes the full phase graph — fulltext gate, citation gate (run inline), abandon-retry and falsification re-audit branches, per-path Phase 4 flags — so the host loop degenerates to next → do it → next.
• SKILL.md 69KB → 29KB (~17k → ~7k tokens): design rationale moved to references/design-notes.md, installation to references/setup.md; SKILL.md is now the operational runbook only.
• Fewer round-trips: default Phase 0 flow passes --queries up front (skips the rc=10 intent sentinel); Phase 2.1+2.2 run in ONE isolated context writing both output files (both generation-side; the adversarial pairs 3.2/3.3 and 4.fill/4.1.5 stay separate); per-paper pattern tagging is delegated to a cheap/fast model; ≥600s timeout guidance documented for the retrieval steps.

Usability

• add_user_ref subcommand: deterministic dedup-merge of title/ID user references into user_refs.json, avoiding a host Write-tool read-before-overwrite failure observed in a live run.

Testing

43 checks: merger authorization paths (unauthorized/authorized/double-rewrite/compute_budget refusal), kill-switch validator chains (advance / revise / audited-rewrite / tamper detection), stub dual-channel retrieval (windows, per-channel queries, cross-channel dedup + tagging), next state-machine walkthrough on a real completed run plus synthetic retry/re-audit/terminal branches, add_user_ref edge cases; all 5 validators regression-pass on a pre-change run.

🤖 Generated with Claude Code

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