{"format": "ta-amps.seed-pack.nouns.v1", "pack_id": "hackathon-ecosystem-index", "status": "proposal_only", "records": [ {"store": "seedpack.hackathon-ecosystem-index", "key": "hackathon-ecosystem-index.v0.1.0.pack", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:hackathon-ecosystem-index", "role:pack", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "pack", "pack": "hackathon-ecosystem-index", "pack_version": "0.1.0", "title": "A collection of nouns and verbs for decomposing public AI repository metadata and READMEs into searchable Task and Task Object signatures", "lets_workers": "Ingest public AI repository metadata and READMEs, decompose entrypoints and artifacts into candidate_unverified Task (verb) and Task Object (noun) records with explicit provenance, and serve hybrid Okapi BM25 plus stack and domain Reciprocal Rank Fusion (k=60) queries.", "flow": [{"verb": "hackathon-ecosystem-index.decompose-repo-catalog", "when": "Map repository scan rows and READMEs into Task and Task-Object records."}, {"verb": "hackathon-ecosystem-index.verify-catalog-hygiene", "when": "Verify provenance tags, candidate_unverified labels and em-dash-free summaries."}, {"verb": "hackathon-ecosystem-index.search-ecosystem-rrf", "when": "Rank repositories with BM25 + facet Reciprocal Rank Fusion (k=60)."}], "guardrails": [{"store": "seedpack.hackathon-ecosystem-index", "key": "hackathon-ecosystem-index.v0.1.0.guardrail.candidate-unverified-only", "version": 1, "value_sha256": "83231823b13c41118e409b2dd366bbd933cc9ca88a9082ef396053cd734bf266"}, {"store": "seedpack.hackathon-ecosystem-index", "key": "hackathon-ecosystem-index.v0.1.0.guardrail.static-metadata-no-exec", "version": 1, "value_sha256": "0cee99c4244607a72f340e6e3076da63f0066297b27dfac411d437009a4f9167"}], "tool": {"store": "seedpack.hackathon-ecosystem-index", "key": "hackathon-ecosystem-index.v0.1.0.tool.ecosystem-index", "version": 1, "value_sha256": "b7221421a622cc14ad7404e96feb54f3b7124548280eecf99dd1c93b3d1b9e58"}, "worked_example": "Synthetic 4-repository catalog recomputed in test_ecosystem_index.py: decomposes CLI commands, MCP tools and model stack facets into candidate_unverified Tasks and Task Objects and ranks synth-lab/sam-frame-guard first (RRF = 0.032787 at k=60) for a SAM video mask query.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "requires_noun", "target_id": "seedpack.hackathon-ecosystem-index/hackathon-ecosystem-index.v0.1.0.guardrail.candidate-unverified-only", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.hackathon-ecosystem-index/hackathon-ecosystem-index.v0.1.0.guardrail.static-metadata-no-exec", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.hackathon-ecosystem-index/hackathon-ecosystem-index.v0.1.0.spec.decomposition-and-rrf", "target_category": "noun.benchmark_suite", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.hackathon-ecosystem-index/hackathon-ecosystem-index.v0.1.0.tool.ecosystem-index", "target_category": "noun.code_node", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.hackathon-ecosystem-index/hackathon-ecosystem-index.v0.1.0.template.catalog-record", "target_category": "noun.scene_recipe", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.hackathon-ecosystem-index/hackathon-ecosystem-index.v0.1.0.template.search-response", "target_category": "noun.scene_recipe", "note": ""}]}}, {"store": "seedpack.hackathon-ecosystem-index", "key": "hackathon-ecosystem-index.v0.1.0.guardrail.candidate-unverified-only", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:hackathon-ecosystem-index", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "hackathon-ecosystem-index", "pack_version": "0.1.0", "title": "Guardrail: every decomposed repository task stays candidate_unverified with scan provenance", "category_reason": "Prevents directory listings or README claims from being mistaken for verified tools.", "rule": "Decomposed tasks always carry verification_status: candidate_unverified and provenance: public_repo_metadata_scan_2026_10_30 until separately sandbox-tested and reviewed.", "how_it_is_checked": "decompose_repository stamps candidate_unverified on every emitted task and PROVENANCE_TAG on every record.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.hackathon-ecosystem-index", "key": "hackathon-ecosystem-index.v0.1.0.guardrail.static-metadata-no-exec", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:hackathon-ecosystem-index", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "hackathon-ecosystem-index", "pack_version": "0.1.0", "title": "Guardrail: decompose repositories from static manifests and READMEs without running untrusted code", "category_reason": "Protects workers from arbitrary code execution while indexing public repositories.", "rule": "Catalog decomposition parses pre-collected file manifests, AST/CLI entrypoint tables and README text only; it never runs setup scripts, containers or build hooks from indexed repositories.", "how_it_is_checked": "ecosystem_index imports only Python standard-library text, math and JSON modules.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.hackathon-ecosystem-index", "key": "hackathon-ecosystem-index.v0.1.0.spec.decomposition-and-rrf", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.benchmark_suite", "pack:hackathon-ecosystem-index", "role:spec", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.benchmark_suite", "role": "spec", "pack": "hackathon-ecosystem-index", "pack_version": "0.1.0", "title": "Specification: Task and Task-Object category mapping and BM25 + RRF (k=60) retrieval", "category_reason": "Defines deterministic taxonomy mapping and hybrid ranking hyperparameters.", "bm25": {"k1": 1.5, "b": 0.75}, "rrf": {"k": 60, "formula": "sum(1 / (60 + rank_i))"}, "provenance_tag": "public_repo_metadata_scan_2026_10_30", "verb_mapping": {"build": "verb.compile_dag", "run_serve": "verb.solve_draft", "test_check": "verb.verify_gate", "data_processing": "verb.ingest", "agent_tool": "verb.probe_source", "scheduled": "verb.fetch_feed"}, "noun_mapping": {"docs": "noun.public_source", "code": "noun.code_node", "tool": "noun.mcp_server", "model": "noun.model_spec", "prompt": "noun.prompt_shim", "dataset": "noun.feed_source", "asset": "noun.scene_recipe", "config": "noun.shim_provision", "test_evaluation": "noun.eval_run"}, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.hackathon-ecosystem-index", "key": "hackathon-ecosystem-index.v0.1.0.tool.ecosystem-index", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.code_node", "pack:hackathon-ecosystem-index", "role:tool_card", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.code_node", "role": "tool_card", "pack": "hackathon-ecosystem-index", "pack_version": "0.1.0", "title": "Tool card: repository Task/Task-Object decomposer and BM25 + RRF (k=60) search engine", "category_reason": "Tested Python standard-library package pinned by path, file count and digest.", "name": "hackathon ecosystem index", "code": {"path": "packs/hackathon-ecosystem-index/code", "files": 9, "sha256": "c65260db4ab9aee5d3dcc43e138126aabf026d94e666b62d47f7a0a0b920e6c7"}, "runtime": "Python 3.10 or later, standard library only.", "commands": ["python -m ecosystem_index decompose --input RAW_SCANS.json [--out CATALOG.json]", "python -m ecosystem_index search --catalog CATALOG.json --query TEXT [--stack sam llama] [--domain Vision]"], "does": ["Decomposes public repository metadata and README paragraphs into candidate_unverified Tasks and Task Objects.", "Builds an Okapi BM25 index (k1=1.5, b=0.75) and fuses lexical and stack/domain facet rankings via Reciprocal Rank Fusion (k=60)."], "does_not": ["Clone or execute third-party code, call external APIs, or endorse unreviewed repositories."], "code_license": "MIT", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "verifies", "target_id": "seedpack.hackathon-ecosystem-index/hackathon-ecosystem-index.v0.1.0.spec.decomposition-and-rrf", "target_category": "noun.benchmark_suite", "note": ""}]}}, {"store": "seedpack.hackathon-ecosystem-index", "key": "hackathon-ecosystem-index.v0.1.0.template.catalog-record", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.scene_recipe", "pack:hackathon-ecosystem-index", "role:template", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.scene_recipe", "role": "template", "pack": "hackathon-ecosystem-index", "pack_version": "0.1.0", "title": "Template: decomposed public repository Task and Task-Object catalog record", "describes": "a single public repository decomposed into candidate_unverified Tasks, Task Objects, stack tags and provenance", "schema": {"type": "object", "additionalProperties": false, "required": ["repo", "url", "project_track", "project_domain", "meta_stack", "tasks", "task_objects", "summary", "provenance"], "properties": {"repo": {"type": "string", "minLength": 3}, "url": {"type": "string", "pattern": "^https://"}, "project_track": {"type": "string", "minLength": 1}, "project_domain": {"type": "string", "minLength": 1}, "meta_stack": {"type": "array", "items": {"type": "string"}}, "tasks": {"type": "array", "minItems": 1, "items": {"type": "object"}}, "task_objects": {"type": "array", "minItems": 1, "items": {"type": "object"}}, "summary": {"type": "string", "minLength": 1}, "provenance": {"type": "string", "const": "public_repo_metadata_scan_2026_10_30"}}}, "example": {"repo": "synth-lab/sam-frame-guard", "url": "https://github.com/synth-lab/sam-frame-guard", "project_track": "Track 2", "project_domain": "Multimodal Vision & Video (SAM)", "meta_stack": ["sam", "spark", "weights"], "tasks": [{"task_id": "task.check-masks", "verb_category": "verb.verify_gate", "source_category": "test_check", "surface_kind": "cli_command", "name": "check-masks", "verification_status": "candidate_unverified"}, {"task_id": "task.segment-ui", "verb_category": "verb.probe_source", "source_category": "agent_tool", "surface_kind": "mcp_tool", "name": "segment_ui", "verification_status": "candidate_unverified"}], "task_objects": [{"object_id": "object.code", "noun_category": "noun.code_node", "source_facet": "code", "count": 14}, {"object_id": "object.model", "noun_category": "noun.model_spec", "source_facet": "model", "count": 1}, {"object_id": "object.test_evaluation", "noun_category": "noun.eval_run", "source_facet": "test_evaluation", "count": 5}, {"object_id": "object.tool", "noun_category": "noun.mcp_server", "source_facet": "tool", "count": 2}, {"object_id": "object.stack-sam", "noun_category": "noun.model_spec", "source_facet": "meta_stack:sam", "count": 1}, {"object_id": "object.stack-spark", "noun_category": "noun.model_spec", "source_facet": "meta_stack:spark", "count": 1}, {"object_id": "object.stack-weights", "noun_category": "noun.model_spec", "source_facet": "meta_stack:weights", "count": 1}], "summary": "Segment UI regions in video frames with SAM masks and check caption collisions.", "provenance": "public_repo_metadata_scan_2026_10_30"}, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.hackathon-ecosystem-index", "key": "hackathon-ecosystem-index.v0.1.0.template.search-response", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.scene_recipe", "pack:hackathon-ecosystem-index", "role:template", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.scene_recipe", "role": "template", "pack": "hackathon-ecosystem-index", "pack_version": "0.1.0", "title": "Template: hybrid BM25 + facet Reciprocal Rank Fusion (k=60) search response", "describes": "ranked repository identifiers and top RRF score for a hybrid ecosystem query", "schema": {"type": "object", "additionalProperties": false, "required": ["rrf_k", "ranked_repos", "top_rrf_score"], "properties": {"rrf_k": {"type": "integer", "const": 60}, "ranked_repos": {"type": "array", "minItems": 1, "items": {"type": "string"}}, "top_rrf_score": {"type": "number", "minimum": 0, "maximum": 1}}}, "example": {"rrf_k": 60, "ranked_repos": ["synth-lab/sam-frame-guard", "synth-lab/glimmer-caption-sync", "synth-lab/offline-lora-bench"], "top_rrf_score": 0.032787}, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.hackathon-ecosystem-index", "key": "hackathon-ecosystem-index.v0.1.0.example.raw-repo-scans", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.eval_run", "pack:hackathon-ecosystem-index", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.eval_run", "role": "example", "pack": "hackathon-ecosystem-index", "pack_version": "0.1.0", "title": "Worked example input: synthetic 4-repository metadata scan and hybrid search query", "category_reason": "Synthetic scan inputs recomputed by test_ecosystem_index.py.", "repositories": [{"repo": "synth-lab/sam-frame-guard", "track": "Track 2", "domain": "Multimodal Vision & Video (SAM)", "meta_stack": ["sam", "weights", "spark"], "primary_language": "Python", "license": "MIT", "scan_status": "ok", "head_sha": "1111111111111111111111111111111111111111", "tests_present": true, "mcp_adopted": true, "readme_first_paragraph": "Segment UI regions in video frames with SAM masks and check caption collisions.", "verb_items": [{"category": "test_check", "kind": "cli_command", "name": "check-masks"}, {"category": "agent_tool", "kind": "mcp_tool", "name": "segment_ui"}], "noun_counts": {"code": 14, "tool": 2, "model": 1, "test_evaluation": 5}}, {"repo": "synth-lab/llama-mcp-router", "track": "Track 2", "domain": "Developer Tooling, Infra & Security", "meta_stack": ["llama", "meta_api", "code"], "primary_language": "TypeScript", "license": "Apache-2.0", "scan_status": "ok", "head_sha": "2222222222222222222222222222222222222222", "tests_present": true, "mcp_adopted": true, "readme_first_paragraph": "Schema-validated MCP tool router and token budget profiler for Llama agents.", "verb_items": [{"category": "agent_tool", "kind": "mcp_tool", "name": "route_call"}, {"category": "test_check", "kind": "npm_script", "name": "test"}], "noun_counts": {"code": 19, "tool": 4, "config": 3, "test_evaluation": 6}}, {"repo": "synth-lab/glimmer-caption-sync", "track": "Track 1", "domain": "Creative Media & Audio", "meta_stack": ["glimmer", "spark"], "primary_language": "Python", "license": "MIT", "scan_status": "ok", "head_sha": "3333333333333333333333333333333333333333", "tests_present": true, "mcp_adopted": false, "readme_first_paragraph": "Align WebVTT narration cues to voiced audio phrases and flag pause bleed.", "verb_items": [{"category": "data_processing", "kind": "cli_command", "name": "align-vtt"}], "noun_counts": {"code": 7, "asset": 3, "test_evaluation": 2}}, {"repo": "synth-lab/offline-lora-bench", "track": "Track 2", "domain": "Model Adaptation & Evaluation", "meta_stack": ["llama", "weights"], "primary_language": "Python", "license": "MIT", "scan_status": "metadata_only", "head_sha": "", "tests_present": false, "mcp_adopted": false, "readme_first_paragraph": "Evaluate LoRA adapters against holdout bootstrap confidence intervals.", "verb_items": [], "noun_counts": {"docs": 1, "model": 1}}], "search_query": {"query": "video frame mask caption collisions", "preferred_stack": ["sam", "weights"], "preferred_domain": "Vision"}, "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.hackathon-ecosystem-index", "key": "hackathon-ecosystem-index.v0.1.0.example.search-results", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.eval_run", "pack:hackathon-ecosystem-index", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.eval_run", "role": "example", "pack": "hackathon-ecosystem-index", "pack_version": "0.1.0", "title": "Worked example output: recomputed RRF (k=60) ranked repositories", "category_reason": "Deterministic hybrid search output conforming to template.search-response.", "conforms_to": {"store": "seedpack.hackathon-ecosystem-index", "key": "hackathon-ecosystem-index.v0.1.0.template.search-response", "version": 1, "value_sha256": "e59aa650cdf7d5f6f6a45fa8e077b2ea2510c2d120368e8bf194d423097b06a7"}, "instance": {"rrf_k": 60, "ranked_repos": ["synth-lab/sam-frame-guard", "synth-lab/glimmer-caption-sync", "synth-lab/offline-lora-bench"], "top_rrf_score": 0.032787}, "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "derives_from", "target_id": "seedpack.hackathon-ecosystem-index/hackathon-ecosystem-index.v0.1.0.example.raw-repo-scans", "target_category": "noun.eval_run", "note": ""}, {"relation": "verifies", "target_id": "seedpack.hackathon-ecosystem-index/hackathon-ecosystem-index.v0.1.0.template.search-response", "target_category": "noun.scene_recipe", "note": ""}]}} ]}