{"format": "ta-amps.seed-pack.nouns.v1", "pack_id": "hybrid-retrieval-context-knapsack", "status": "proposal_only", "records": [
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{"store": "seedpack.hybrid-retrieval-context-knapsack", "key": "hybrid-retrieval-context-knapsack.v0.1.0.guardrail.penalize-redundant-chunks", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:hybrid-retrieval-context-knapsack", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "hybrid-retrieval-context-knapsack", "pack_version": "0.1.0", "title": "Guardrail: prune MinHash near-duplicates and discount overlapping coverage", "category_reason": "Prevents wasting context budget on repeated paraphrases of the same passage.", "rule": "Chunks with 64-permutation 3-shingle MinHash similarity >= 0.75 to a higher-ranked chunk are dropped, and remaining overlaps are discounted by redundancy_lambda.", "how_it_is_checked": "sanitize_and_deduplicate and pack_context_knapsack enforce both stages deterministically.", "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": []}},
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{"store": "seedpack.hybrid-retrieval-context-knapsack", "key": "hybrid-retrieval-context-knapsack.v0.1.0.rules.sanitization-and-minhash", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.reflex_procedure", "pack:hybrid-retrieval-context-knapsack", "role:rules", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.reflex_procedure", "role": "rules", "pack": "hybrid-retrieval-context-knapsack", "pack_version": "0.1.0", "title": "Sanitization and deduplication rules: directive redaction plus universal-hash MinHash", "category_reason": "Zero-call sanitization and near-duplicate filter over ranked chunks.", "redaction_marker": "[REDACTED_UNTRUSTED_DIRECTIVE]", "rule_families": ["ignore_prior_instructions", "fake_role_header", "secret_or_tool_coercion", "untrusted_tool_directive"], "model_calls": 0, "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.hybrid-retrieval-context-knapsack", "key": "hybrid-retrieval-context-knapsack.v0.1.0.tool.context-knapsack", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.code_node", "pack:hybrid-retrieval-context-knapsack", "role:tool_card", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.code_node", "role": "tool_card", "pack": "hybrid-retrieval-context-knapsack", "pack_version": "0.1.0", "title": "Tool card: hybrid RRF ranker, MinHash deduplicator, injection stripper and 0/1 knapsack packer", "category_reason": "Tested standard-library Python package pinned by path, file count and digest.", "name": "Hybrid retrieval context knapsack", "code": {"path": "packs/hybrid-retrieval-context-knapsack/code", "files": 11, "sha256": "f957200448e2f022d5292670740e1cc8663eae0e13c1332057a3ad4a6060e66e"}, "runtime": "Python 3.10 or later, standard library only.", "commands": ["python -m context_knapsack rank --input CANDIDATES.json", "python -m context_knapsack sanitize --input CANDIDATES.json", "python -m context_knapsack pack --input CANDIDATES.json"], "does": ["Computes Okapi BM25 and dense cosine similarity and fuses ranks with RRF (k=60).", "Redacts untrusted prompt-injection lines and prunes 64-permutation MinHash near-duplicates.", "Solves exact 0/1 dynamic-programming knapsack with marginal overlap penalties under a token budget."], "does_not": ["Call external embedding APIs, fetch remote URLs or execute instructions found inside retrieved text."], "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.hybrid-retrieval-context-knapsack/hybrid-retrieval-context-knapsack.v0.1.0.spec.rrf-and-knapsack", "target_category": "noun.benchmark_suite", "note": ""}]}},
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]}