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example-validator-valid.capsule.json
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48 lines (48 loc) · 2.22 KB
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{
"metadata": {
"capsule_id": "capsule.example.validator-valid.v1",
"version": "1.0.0",
"status": "draft",
"type": "foundation",
"subtype": "atomic",
"author": "egor-n1",
"created_at": "2026-03-26T12:00:00Z",
"updated_at": "2026-03-26T12:00:00Z",
"name": "Example Validator Valid Capsule",
"semantic_hash": "example-validator-valid-public-specs-capsule-reference-shape",
"source": {
"uri": "https://github.com/num1hub/capsule-specs/examples/example-validator-valid.capsule.json",
"type": "generated_public_example"
}
},
"core_payload": {
"content_type": "json",
"content": "{\n \"purpose\": \"validator-smoke-example\",\n \"expectation\": \"passes validator checks when validated as a standalone draft capsule\",\n \"notes\": [\n \"five-element structure present\",\n \"semantic hash parity preserved\",\n \"cryptographic seal recomputed\"\n ]\n}"
},
"neuro_concentrate": {
"summary": "This example capsule exists as a compact validator smoke target for the public specifications repository. It keeps the payload intentionally simple while still exercising the full outer contract that readers and tools need to see: metadata, payload, neuro concentrate, recursive layer, and integrity seal. Because the capsule is marked as draft and carries no outbound links, it can be validated in isolation without depending on a larger ID graph. That makes it a practical fixture for tutorials, schema consumers, and CI experiments that want one clean example of a validator-compliant capsule on the public surface.",
"keywords": [
"example",
"validator",
"valid",
"capsule",
"smoke-test",
"reference",
"public-specs"
],
"confidence_vector": {
"extraction": 1,
"synthesis": 1,
"linking": 0.93,
"provenance_coverage": 1,
"validation_score": 1,
"contradiction_pressure": 0
},
"semantic_hash": "example-validator-valid-public-specs-capsule-reference-shape"
},
"recursive_layer": {
"links": [],
"epistemic_ledger": []
},
"integrity_sha3_512": "858232e2e320b2ddfe81a55ab4ae8b061b99e88229a4ed0aecb641dbdce659395f9117469438c4b96816c8fd37a910e894be533f3b88a6abf28d8686893bb747"
}