{
  "recorded_at": "2026-09-27T04:16:57.599008+00:00",
  "versions": {
    "protocol": "0.3-preview.1",
    "mcp": "0.3.0rc1",
    "skill": "0.3.0-rc.1",
    "contract": "0.3.0-rc.1"
  },
  "command": "python -m pytest -q --junitxml Verification/current-junit.xml",
  "exit_code": 0,
  "tests": 241,
  "failures": 0,
  "errors": 0,
  "skipped": 0,
  "input_file_sha256": {
    "src/hcai_readiness/__init__.py": "f7a70dea77d73f4c86502540b066a233ace61be1ceb2350dbecd9e1a8540a760",
    "src/hcai_readiness/artifact_review.py": "8a1342489ea0d4600c60f7b1b6e5123d8742fc364d4267eac3f51fcf73827204",
    "src/hcai_readiness/assessment.py": "ca10514b15b24c7f001fef1c291858c2f60986f134384ec813fddb8efbf93d4c",
    "src/hcai_readiness/cli.py": "c12ff9465b887d6845fa33ef82977d1c1225a3dd5932ac2aec3fa238dd13ff90",
    "src/hcai_readiness/contracts.py": "bf1e6e96a027abe4ec2621347c99f4b2ef3381d6957274bac673b7ac02a41342",
    "src/hcai_readiness/criteria.json": "5bde2e0c4524944af141dae990fe12f49443a1d90aa19e0188cecc650ba582ca",
    "src/hcai_readiness/engine.py": "357883ac51d7cb3553ff02fb8f03a31ecb6322724b19ba6433569e6e18351a49",
    "src/hcai_readiness/guidance.py": "fea5d3a0c5f338b118d8d3e3f49e5578e20ccbc1850c8b98c6b2e49eb68003c8",
    "src/hcai_readiness/protocol.md": "5d40c01356e82981de5a88d4e3c5119f5468be263064488e644e8da19a024260",
    "src/hcai_readiness/records.py": "366cc3ee731f67c32ff3b0b0a2ec28be5f1cdcd3cae4da29b4de87b42127b70b",
    "src/hcai_readiness/reporting.py": "77fd7195e55b4cb3e78cc3f9820dab226c96b63783181e3461beba480ddc3d32",
    "src/hcai_readiness/server.py": "bb6ce6509841d92da66aa4fb3e7361f4a5aedd80d2a4ff78ecc69397aef26d92",
    "src/hcai_readiness/versions.py": "0ded42502070e356d25d5fa1dead60732e54a41337d9b7b80c28762ff61c49bd",
    "tests/test_artifact_review.py": "5dc5c186f03f427d126a5c1a63170dcb2d80888a7287a77ab01a2af15cad880f",
    "tests/test_assessment.py": "c19011082909269e620e987e69dcea3cb1a4b11594a4b5f1c5ec2359e49a364e",
    "tests/test_choice_integration.py": "d71508304d3f1bf4be628bbe3c0f27e3dd276f0172dd8dcf9fa797fcd68ff005",
    "tests/test_csv_examples.py": "b75f9092fb48da89f8770029999df70712b0c830fed738d71cce27dc6ed8923e",
    "tests/test_decision_naming.py": "b08d6cd1ac7527368273d8ecc32f33a7c2ba1e0792fd3309ba8a95e0fe79f054",
    "tests/test_deep_audit.py": "1b318ef1ffc3e6b9b90df312dc176c988b5647d0d9fa2b1df211d5b83bb30af9",
    "tests/test_editorial_integrity.py": "302c0247320a1a6da123e69f9225544fdf84841ae036231c56ee65385737fb5f",
    "tests/test_experience.py": "f9090d28a99b3a99f03cec5acf95fd27dfec779513dbc345c8c66a5d27196af5",
    "tests/test_hard_identity.py": "196f9740e82abb8fd21b3d1432aa320bdcf2eef649b654fafb6d5e3ef6915b19",
    "tests/test_mcp.py": "606800b1efac21651d3aaea4d4be53edd05549c7f026d09a6112b5d03fe1b105",
    "tests/test_overview_presentation.py": "f275581641b8ff69e3442dbdf3ff9443d6c518bef06d8533fce6d2bb6e3f4763",
    "tests/test_project_framing.py": "431f8f8f244507cd729c33746ae2234ce7eedd835cadd14f928ec7fc7942993f",
    "tests/test_punctuation.py": "0db39a60f45e536c62b314802daf8b2ecf48c00192d0f2d73669287895fcbd7d",
    "tests/test_rc4.py": "fc172402e13ea5d28302c4f1e8b2604ea756855440ffa4ad961ef14f23b7607c",
    "skills/ai-ready/SKILL.md": "d9888bf56e2f6981e35fabcf9cd62b2ba5cb659100af0cf323f68b01ee16680b",
    "skills/ai-ready/agents/openai.yaml": "cadaccaf46c7f046b4db024f26c007f7651b2c7b6b7fc28317f8f3e53f7c97e8",
    "skills/ai-ready/references/ARTIFACT-REVIEW.md": "76aa679578d4c4d213cb016feaf3aa2b9989d41525c0645ec78b92224719d64d",
    "skills/ai-ready/references/CRITERIA.md": "964b7c955506c852990ad2701886cd4923a4a4d880b646c009d9686ebe5190c9",
    "skills/ai-ready/references/DECISION-REVIEW.md": "72a5987fab466d15507365e912dfa9a445ad2508fc99153e31bcb6b6e239bbda",
    "skills/ai-ready/references/ENGINEERING-REASONING.md": "0629c1542a6946c58b2718192386c9d07e82a04360cc06e19e149c27f91e3b94",
    "skills/ai-ready/references/FULL-PROFILE.md": "4b7f7a51932b3cb558f3dd1133eda32cfe5faf637c0bdaec488049c1c5c9257b",
    "skills/ai-ready/references/INDEPENDENT-EVALUATION.md": "31fc22bad656176601759c9d14feb2f57d3de0e1aea96043b30e81ba04f5d4a5",
    "skills/ai-ready/references/LICENSE": "69c15fce557a579caf08f12d359c364e9551f995197d2034c14fe36e7fe83c2f",
    "skills/ai-ready/references/QUICK-6.md": "e7e7d0ddcb3c84bc59a4058853261a64404c2ee3222b43a13cc7eac515d6ab19",
    "skills/ai-ready/references/SCENARIOS.md": "4cdadb888f1e7099eb09e816834ec7f55e1d4b7f21c7c979b6cc260b5e56d2d1",
    "skills/ai-ready/references/START-HERE.md": "280053a1168ecc5210dd46fb5ac94f1fb0d90697ddf9eaedc0e02589364a6b9e",
    "skills/ai-ready/references/WORKSHEET.md": "1ce95c032256989628ae6a2990c305901d740dcc05d153324e87c98d2d06d835",
    "skills/ai-ready/references/artifact-review.schema.json": "10ca7d23667ab46c6689f94c790477c8bb08c4e7655ffb3aad65482cdec3606f",
    "skills/ai-ready/references/assessment.schema.json": "30bceae83368aed7a439f68dc97706dfe5bfff0cf567a9cfc95a673f5df15387",
    "skills/ai-ready/references/claims-and-governance.md": "a759b3b4a83425b0b980681d0927d9a9f12d0978bb09d65770f746fb0aa8937e",
    "skills/ai-ready/references/diagnostic-judgment.schema.json": "fe5d6acd34202698365910f245505c2f46f44ca2b29340a52a6107d5b63fe4db",
    "skills/ai-ready/references/diagnostic-session.schema.json": "98c9ae4a2064b7d0dabc8c803bc75e0b0f71d721878f1a65a1026090f44ff44c",
    "skills/ai-ready/references/pilot-run.schema.json": "9386597af283ef38e71a82b3b61d66935b5def3a5b84e75c8e92b3a51cb4a800",
    "skills/ai-ready/references/protocol.md": "5d40c01356e82981de5a88d4e3c5119f5468be263064488e644e8da19a024260",
    "skills/ai-ready/references/research-boundary.md": "86992ef2760e86230ebba72c8988ac9b43e99560167310a0e31b5cfaeb56cbf5",
    "skills/ai-ready/references/study-review.schema.json": "901ced2df2b20cf1de8e5dc3989c2933f1644c5ec788f0a3b2bb147c959f3288",
    "skills/ai-ready/scripts/assess.py": "b4eb093dfc15a5825d7dd27907765eb188cad1a040725069395365f7a885b62f",
    "skills/ai-ready/scripts/hcai_readiness/__init__.py": "f7a70dea77d73f4c86502540b066a233ace61be1ceb2350dbecd9e1a8540a760",
    "skills/ai-ready/scripts/hcai_readiness/artifact_review.py": "8a1342489ea0d4600c60f7b1b6e5123d8742fc364d4267eac3f51fcf73827204",
    "skills/ai-ready/scripts/hcai_readiness/assessment.py": "ca10514b15b24c7f001fef1c291858c2f60986f134384ec813fddb8efbf93d4c",
    "skills/ai-ready/scripts/hcai_readiness/cli.py": "c12ff9465b887d6845fa33ef82977d1c1225a3dd5932ac2aec3fa238dd13ff90",
    "skills/ai-ready/scripts/hcai_readiness/contracts.py": "bf1e6e96a027abe4ec2621347c99f4b2ef3381d6957274bac673b7ac02a41342",
    "skills/ai-ready/scripts/hcai_readiness/criteria.json": "5bde2e0c4524944af141dae990fe12f49443a1d90aa19e0188cecc650ba582ca",
    "skills/ai-ready/scripts/hcai_readiness/engine.py": "357883ac51d7cb3553ff02fb8f03a31ecb6322724b19ba6433569e6e18351a49",
    "skills/ai-ready/scripts/hcai_readiness/guidance.py": "fea5d3a0c5f338b118d8d3e3f49e5578e20ccbc1850c8b98c6b2e49eb68003c8",
    "skills/ai-ready/scripts/hcai_readiness/reporting.py": "77fd7195e55b4cb3e78cc3f9820dab226c96b63783181e3461beba480ddc3d32",
    "skills/ai-ready/scripts/hcai_readiness/versions.py": "0ded42502070e356d25d5fa1dead60732e54a41337d9b7b80c28762ff61c49bd",
    "skills/ai-ready/scripts/requirements.txt": "927afcabf4cd575f18cd0790a2f8aa2503c103cac7f76bd4c5bef3ab629acd2c",
    "protocol/0.1-rc.4-candidate/FULL-PROFILE.md": "8532b84f6577fef585690d7c107288fa08895f900e3b771dcae394da87432ad1",
    "protocol/0.1-rc.4-candidate/PROTOCOL.md": "7fe009ff28613bbaed10d141b7f11021f902f5a2c80f4210062fc45b9ad3b723",
    "protocol/0.1-rc.4-candidate/QUICK-6.md": "9339ada8a69eb005e92d0d42f74ab7446376793dc90c4cfc1707280f13279850",
    "protocol/0.1-rc.4-candidate.2/CRITERIA.md": "50cb498bd2805c6ab556d66807c4f4704f31501837392547ed9302a5876761cb",
    "protocol/0.1-rc.4-candidate.2/FULL-PROFILE.md": "72a4e69c20fc4638644e905999a37b97f5d1772175b911d34a53f9fa463a6e40",
    "protocol/0.1-rc.4-candidate.2/PROTOCOL.md": "28fc1b9c97fbc635587b28b0ce2270f423de60b9535e4d6423c2af4e3466c7c5",
    "protocol/0.1-rc.4-candidate.2/QUICK-6.md": "e5217666ddff3e2ba6557e49c925de6d0723a48375a72bbc0090d0a3447623fb",
    "protocol/0.1-rc.4-candidate.2/SCENARIOS.md": "70c346be8d8b8ab159c4ce3d7afb95e8a31188689fc33e22e4e9fe3c3c0eed58",
    "protocol/0.1-rc.4-candidate.2/START-HERE.md": "12ba3f9392d8da2d45f877d2f9397e6f9854476024e83f71f385f8056159c32b",
    "protocol/0.1-rc.4-candidate.3/CRITERIA.md": "e9b7ce3b7d28bad4925d9d6a12ca52ba522a02a3e9420eb107871cb2d0f540f5",
    "protocol/0.1-rc.4-candidate.3/FULL-PROFILE.md": "85aed0aa2db6d5e6613afa72622365fc769d948f5b819d5d455e660e64fec8c3",
    "protocol/0.1-rc.4-candidate.3/PROTOCOL.md": "67a33205fcb6a6bbc7e2976905d296f4d4036e692ba3f16ea950cf39bcd68ccc",
    "protocol/0.1-rc.4-candidate.3/QUICK-6.md": "549e9c3347e5fa12093b7c9ed74b125bc7bc2464b647b18c91122b0666e48665",
    "protocol/0.1-rc.4-candidate.3/SCENARIOS.md": "e022b54487123660cbbfc8c79b2088632ec7218a34310a3f184e00cee919f722",
    "protocol/0.1-rc.4-candidate.3/START-HERE.md": "e70ea6745f511d155429908831e561eb0a24de1b78b0084ff37b012908829f8b",
    "protocol/0.1-rc.4-candidate.3/WORKSHEET.md": "38b85794a90562c10a21c55907970bf9b20688f4d112d755c258d6a152301bd2",
    "protocol/0.1-rc.4-candidate.4/CRITERIA.md": "92a63201aa58159e228b6cdd9d93d90dc119f95b125b8f07e6d03d3b972f9e17",
    "protocol/0.1-rc.4-candidate.4/FULL-PROFILE.md": "3b69cf88596b6e09277972edfbf79d88272abe988a4d500e5ec4c018f311b34c",
    "protocol/0.1-rc.4-candidate.4/PROTOCOL.md": "c0c412995e14372260840942ff2bf02d7568a7e16365404285a8a094e1c73c9c",
    "protocol/0.1-rc.4-candidate.4/QUICK-6.md": "7f9d4f50e6cd8d0ce1c99f0d8fc778574bf72beef45be98cf1ba6326f3585cb9",
    "protocol/0.1-rc.4-candidate.4/SCENARIOS.md": "ccdd8ea35fa8f8708d3be1c17bfe2e5310bd9bc577c378a18702915b039f7ef7",
    "protocol/0.1-rc.4-candidate.4/START-HERE.md": "5c26fbd38e60b34153cf608dd65aa2ce3d0e18f82895a1faff4a8df7d836638f",
    "protocol/0.1-rc.4-candidate.4/WORKSHEET.md": "5a808ea2cec4a10ff626da6e4c7e01103f973d09f68b6a3e85775147e97e90a5",
    "protocol/0.1-rc.4-candidate.5/CRITERIA.md": "001a5fc73cf315655e579674f2dccfb04c1ccdae4beadf33c1263414ff1eca8f",
    "protocol/0.1-rc.4-candidate.5/FULL-PROFILE.md": "66592fe93f6f40d8d9d02ee48d9f664a065f92ba7365923fcc19bffcb2f2d00a",
    "protocol/0.1-rc.4-candidate.5/PROTOCOL.md": "43a8b251264f112c361b4b24ecd4edf5c07b1ca0e3856f0a61b1fabc0c2af8c8",
    "protocol/0.1-rc.4-candidate.5/QUICK-6.md": "2b5550fdf5505b7c6ef268ae7eda478d20516c17cb4627d649cc017fca5f45b2",
    "protocol/0.1-rc.4-candidate.5/SCENARIOS.md": "70a0726a5ae0f4f237daebad02cf285dc3ede2a5aac5b87b55dc787e580fef3a",
    "protocol/0.1-rc.4-candidate.5/START-HERE.md": "62558e0a79dd3d75a565c12bb5d05a0a6e57ad683e0049c2c629406aed8564b1",
    "protocol/0.1-rc.4-candidate.5/WORKSHEET.md": "106e1e110f1d2a2a1a201a471cb0a6861865edb0aee9da2d6e44872c2cd951df",
    "protocol/0.1-rc.4-candidate.6/CRITERIA.md": "b57366082756128476f0241dbc0c786a02dfafaac9a4a151c93853e37c30be3d",
    "protocol/0.1-rc.4-candidate.6/FULL-PROFILE.md": "dd3394bec397d27e17606105ccbff9ad30f0cb4ed217a1a8cf2300de305054a7",
    "protocol/0.1-rc.4-candidate.6/PROTOCOL.md": "1f2a39ddd6d2413ff597470f4d90f1f6d1d3fd5460dd33d939544761c0947473",
    "protocol/0.1-rc.4-candidate.6/QUICK-6.md": "f32bff897b35e5355f452f8906c72d08ebd3a72773fdc8e0fa67b4aa6420d73d",
    "protocol/0.1-rc.4-candidate.6/SCENARIOS.md": "2bfd349a09029ea3d77a12b4a4fcc5c284ca52978b132ccabbe5221d6c7734bd",
    "protocol/0.1-rc.4-candidate.6/START-HERE.md": "ecc9c0a7d7ddb22c4e546f7fa2e26f917e2941bc7b10c3d681f1de4aef8190b4",
    "protocol/0.1-rc.4-candidate.6/WORKSHEET.md": "54c6079a719544c36b2a8fb3ef0685966b731be1c8497840783afecd3682c78c",
    "protocol/0.2-preview.1/CRITERIA.md": "d6aaa632771f82dcd179f2fb9635ea55f2c964c376257a9a5316ab2e0c1c8e8e",
    "protocol/0.2-preview.1/FULL-PROFILE.md": "535860dd7e30f265884d34e61292eae08973b13748163d3732a7756c4ddbb226",
    "protocol/0.2-preview.1/PROTOCOL.md": "150844df4dc0fb073cd3aa41ae6a6d3c4f9548d0bf27d650e9fa47daf25823f2",
    "protocol/0.2-preview.1/QUICK-6.md": "cf6c7b19bcb61595863ffdb1bd1fc8451867ca81c64e1f58c7233808ba0b53df",
    "protocol/0.2-preview.1/SCENARIOS.md": "94935c24c83b95132ac224c1381b84367aaf9ae20f805705e17c466190e25893",
    "protocol/0.2-preview.1/START-HERE.md": "bd7345dac7dce575e35dde32e80b88c92dd8c5abf85f38ca8b1b5ec56fe2da51",
    "protocol/0.2-preview.1/WORKSHEET.md": "df56010828835d6db26273dde792234eca508144ae9106c586eb03d637a7d8c7",
    "protocol/0.2-preview.2/CRITERIA.md": "1b0998f4cbf25810e820a4a4827fc28e41c50b39d9faa40f95533bcac511f9f1",
    "protocol/0.2-preview.2/FULL-PROFILE.md": "96171c6511d247c1dc06fc60f1e4d7ea143317ce12ac4d2fcd481e0095441aac",
    "protocol/0.2-preview.2/PROTOCOL.md": "b9f67ec26a9337e8f1dca27f9d8a9681679b3189889048510e3c7c3046376f92",
    "protocol/0.2-preview.2/QUICK-6.md": "dbf43647ae78133a9b7303a94820b219d859649b17e2ddef731f55c468a35bf9",
    "protocol/0.2-preview.2/SCENARIOS.md": "b9a84d5fa4cedc1397998e06ef35193461ac6a5f5697a38a75f444177337eb47",
    "protocol/0.2-preview.2/START-HERE.md": "0af947a2adcdded56ebcc351e0bf58d5fe9463c205f72078dd17b1721f17042b",
    "protocol/0.2-preview.2/WORKSHEET.md": "4e87db59e191acee9a98ae22fab193d6dbe148d01dd5666fd6cb1d60d965f5e0",
    "protocol/0.2-preview.3/ARTIFACT-REVIEW.md": "97c3f27a18eb40d0b8a178079ac89f060ae860829deb9ebb879e4d8109584125",
    "protocol/0.2-preview.3/CRITERIA.md": "8f2cfed99436c2ebb192c618308edc6114711a023d2b3bf3d715af9fb6bb02a3",
    "protocol/0.2-preview.3/DECISION-REVIEW.md": "0790ba50162029cd1bb170fce290e462d7f56964f229e64d07490318fc90693d",
    "protocol/0.2-preview.3/FULL-PROFILE.md": "d8eaa7040cf9a439e7f9ce7945294a8fc46a65bc791d5ca9b0a6c0965313757e",
    "protocol/0.2-preview.3/INDEPENDENT-EVALUATION.md": "d390d8240942ac057119eaab5e5b86aa743a570ad93a8fddc0d56a172baa21cf",
    "protocol/0.2-preview.3/PROTOCOL.md": "3aef882076d37770ab89ce83bee770a5310ce7162ce53036fd157aa669ad8ba9",
    "protocol/0.2-preview.3/QUICK-6.md": "6907da5a9f61e53eeaf74ea0ee959d62c432ccd65eb6ce273cc0c36a0eb4041c",
    "protocol/0.2-preview.3/SCENARIOS.md": "d1169da8877aff7d4e71e300da3c978f5adcb8b95e621323187b80282cd80399",
    "protocol/0.2-preview.3/START-HERE.md": "9eab145ceefcda99f87a8e3c9bfb634ac6172e33758bc4ca034d468caebc2235",
    "protocol/0.2-preview.3/WORKSHEET.md": "21a1d867b5cfc8d509e8db148eaa77449349d995b136ed85650a2c4dd97088af",
    "protocol/0.3-preview.1/ARTIFACT-REVIEW.md": "76aa679578d4c4d213cb016feaf3aa2b9989d41525c0645ec78b92224719d64d",
    "protocol/0.3-preview.1/CRITERIA.md": "964b7c955506c852990ad2701886cd4923a4a4d880b646c009d9686ebe5190c9",
    "protocol/0.3-preview.1/DECISION-REVIEW.md": "72a5987fab466d15507365e912dfa9a445ad2508fc99153e31bcb6b6e239bbda",
    "protocol/0.3-preview.1/ENGINEERING-REASONING.md": "0629c1542a6946c58b2718192386c9d07e82a04360cc06e19e149c27f91e3b94",
    "protocol/0.3-preview.1/FULL-PROFILE.md": "4b7f7a51932b3cb558f3dd1133eda32cfe5faf637c0bdaec488049c1c5c9257b",
    "protocol/0.3-preview.1/INDEPENDENT-EVALUATION.md": "31fc22bad656176601759c9d14feb2f57d3de0e1aea96043b30e81ba04f5d4a5",
    "protocol/0.3-preview.1/PROTOCOL.md": "5d40c01356e82981de5a88d4e3c5119f5468be263064488e644e8da19a024260",
    "protocol/0.3-preview.1/QUICK-6.md": "e7e7d0ddcb3c84bc59a4058853261a64404c2ee3222b43a13cc7eac515d6ab19",
    "protocol/0.3-preview.1/SCENARIOS.md": "4cdadb888f1e7099eb09e816834ec7f55e1d4b7f21c7c979b6cc260b5e56d2d1",
    "protocol/0.3-preview.1/START-HERE.md": "280053a1168ecc5210dd46fb5ac94f1fb0d90697ddf9eaedc0e02589364a6b9e",
    "protocol/0.3-preview.1/WORKSHEET.md": "1ce95c032256989628ae6a2990c305901d740dcc05d153324e87c98d2d06d835",
    "schemas/README.md": "dc37f8663e6768232c2bb5043acd6552d6c4da729942ba2486c75e75982c15ce",
    "schemas/artifact-review.schema.json": "10ca7d23667ab46c6689f94c790477c8bb08c4e7655ffb3aad65482cdec3606f",
    "schemas/assessment-result.schema.json": "bc13001052852f294a5c3a47d0bc6c8db31ccffc7f7ba06ccfb921708872d903",
    "schemas/assessment.schema.json": "30bceae83368aed7a439f68dc97706dfe5bfff0cf567a9cfc95a673f5df15387",
    "schemas/change-manifest.schema.json": "57ca35aade566df1551581c2800b581005c919589fec4a8f1dfca13b8c3b39fc",
    "schemas/context-risk-floors.json": "76cffb439b386c74c7491ad136f0f6680f3b620af56f2539acca5c99b815f9f6",
    "schemas/csv-contract.json": "fd10200d44f52515bd2730516da6ff9ebc46f62c7037abbd8cc6a76971d69e9f",
    "schemas/diagnostic-judgment.schema.json": "fe5d6acd34202698365910f245505c2f46f44ca2b29340a52a6107d5b63fe4db",
    "schemas/diagnostic-session.schema.json": "98c9ae4a2064b7d0dabc8c803bc75e0b0f71d721878f1a65a1026090f44ff44c",
    "schemas/feedback-entry.schema.json": "f3c08ca3717627bc46db11b273565a1421efc9c9b9926f7d2e47ba928b232d2b",
    "schemas/pilot-run.schema.json": "9386597af283ef38e71a82b3b61d66935b5def3a5b84e75c8e92b3a51cb4a800",
    "schemas/risk-depth.json": "f38cac12b9a0f3586df40e7cb0de6710d5e29c296da5907635efba7dce4f29e1",
    "schemas/study-review.schema.json": "901ced2df2b20cf1de8e5dc3989c2933f1644c5ec788f0a3b2bb147c959f3288",
    "evidence/README.md": "311d2c23c26a62d5f79a5cba385b1ea17d368a032e66e5f90e0abd8a1fbc232d",
    "evidence/change-manifest.json": "cf1835a9e2d3a7a34612d5806ffcb580f7fe01f813648ff25c666ba7893ce8e6",
    "evidence/feedback-ledger.public.json": "c09246a0bbcceaf9c03ed4d2834f37ff33f4ba9039d950466499aad3a18e1aad",
    "examples/evidence/synthetic-discussion.md": "001a165921230ebd38790b83dd7e4e62a29d4089dbc8fb6b6b6d1374ce5ed959",
    "examples/evidence/synthetic-observation.md": "536a65dda13ab74c7e80df6335ba4348127b448314447acc19c1bef7ccad2e57",
    "examples/evidence/synthetic-workflow.md": "87a35fd15180404eedfd92f7c23b7afc6e35d8309ff1af4581ec356baaf2a5c7",
    "examples/make_fixture.py": "787dcf2d5dd70dd1d16f8f2018844b6f43f2ee3f89c466d079740cafb48e9307",
    "examples/rc4/documentation-no-operational-evidence.json": "1c1797af9f81bfba33bd8352027fea19a0dff2890002d442c175ad7409be3144",
    "examples/rc4/expensive-evaluation.json": "945ec3beaad54e5f683e19120716dc98c4d6b9610c545d01730cde0804956763",
    "examples/rc4/high-risk-full.json": "0d4416f203a66300e0750b026efea39d05fa4609e0c9a78404657fc6ca9ec0a1",
    "examples/rc4/high-risk-quick.json": "3e31e3d60786973fdf3c7826e1e9380838f005e8d7bdd6d73fdc01f7cd04753f",
    "examples/rc4/low-risk-quick.json": "fa7846bc334718a830fb245797b11d01ce086aa4b6e25fad7d7794b3fc8bedb8",
    "examples/rc4/missing-recovery.json": "f82c647914a5e720c059c2a2dbd58ac9896df5861d99bc95907833667f8f6c29",
    "examples/rc4/pilot-synthetic.json": "3c5b93ef25fa29bdf1d4bfe11be5cea117e87820e96798cd4d457aa850b3b529",
    "examples/rc4/polished-no-baseline.json": "5d92c3e7f2bdd9bee522f1ccdc7c010a4e61608841e8a43ef35fd41c5ef51b2d",
    "examples/rc4/prototype-no-traceability.json": "f22e316bf7ab91e244bd37718ebf4caf3888a00868d8e6070425be503d866e74",
    "examples/rc4/savings-erased.json": "489d4f74c88dcc43dc20994ed1c15a4447a13d37a1b2f90dae6a19c61379f603",
    "examples/session.json": "299eb193b42cabce6f7c30a20a1c3db662aa51539fb0e14c4af76b25d4b4e113",
    "scripts/advance_candidate_five.py": "492ca0fb4b475884a2d8810d7bde72cd779aa0f5c189b0978ed1ebdfa05f44f9",
    "scripts/advance_candidate_four.py": "bee7c0e8520c502db7d160ee9292daf3a75b1fe9901f5f52cc200841501f5240",
    "scripts/advance_candidate_six.py": "67b8524abc3dd94202e322f40da13997a1edafe602af8b39ccd8d44585c19aa1",
    "scripts/advance_candidate_three.py": "a855163600740bb33a2c0f16bbaa35fa5b5d8b730d1a8c3daa5688949ef322d9",
    "scripts/advance_candidate_two.py": "ef83b382b5395ae9dac26ce0f860731d56f48d9fe0dadea2706780d9eb690013",
    "scripts/advance_decision_preview.py": "e3f158da281435a27e42ee37d732e7de57fe7ab45093663a3155e92967158d65",
    "scripts/advance_hard_preview.py": "042f4a077a4026b4ae35ee451f8b2f594689ca71d4ee92f07511b45300b02ea0",
    "scripts/apply_structure_revision.py": "37134f5153f5301c1e99edb408483ffe826b4955a8701e8d9311b3827f363a0f",
    "scripts/build_candidate_assets.py": "f1c701faccd90d7661f946ea9598114ea59927f8d38b3a78c79695b49aaa50b2",
    "scripts/build_experience.py": "407308c7c8d68b2ff62e9ba43206c406158d152622b15ac0dadfde7bdfcfdc4d",
    "scripts/build_pdfs.py": "4e107d2361046506c9eb4b9d5701c0f8ea84e596ea4b53be6a43792195807fe1",
    "scripts/build_research_pages.py": "ce46ae15327c2abbd74a260be11861a98a2d50807cc82ea5f6f6a17846cc3055",
    "scripts/freeze_baseline.py": "323680efca94133d66931843b76d954d1c6cbb0c8139fdd9344f2b9518242a26",
    "scripts/freeze_candidate_one.py": "3d7bf318979a64fb5adbe691090b1745f3b27a535932c9d271e60ea56f33a428",
    "scripts/package_candidate.py": "8c9301f3cf1c347f4280cb00a169e2230975d7f5fb02c66df80377fad54a92f4",
    "scripts/record_audit_three.py": "8d789c49bef5ff8b8e1fdfea35f8b9d1092b334c52be6a45c85290902e3ed5d1",
    "scripts/refine_criteria_three.py": "dd2344f9c0ec9d086f1939d410998149e222fd4562917010aa22a5147b049e94",
    "scripts/sync_research_overview.py": "ba1cc9e9d02767bc7557a7c58a98b3368d9b3e38959171a18aa55351675d00b0",
    "scripts/verify_candidate.py": "b09f15332cba4dfb09d94833fe9ee73a7ca8c69f39f03768cdd7353e675ef1b3",
    "docs/agent-tools.md": "d4175efc38511c714b40363835178553984ddc46cc7803b6faefe1133b269ce3",
    "docs/app-presentation-update.md": "f4c3d130715be668cdf5b2b2512e7d8da6c27cda713be9111c38ad22e15ad94c",
    "docs/claims-and-governance.md": "a759b3b4a83425b0b980681d0927d9a9f12d0978bb09d65770f746fb0aa8937e",
    "docs/decision-naming-migration.md": "74b162078611c4efe74ea6dbcba4d94d6e9f657cba20d150ddad010a4fcccadb",
    "docs/deep-audit.md": "f60a4cdf47d5f7121391912c0033dc25da6404ad2b2125ebb53233873b40ceb3",
    "docs/design-system-connection.md": "95cf5a60bcd6f188716366974f844d7e416565cbe0050d8f84cc8284f7b6147f",
    "docs/editorial-review.md": "4db9d34dc0b15f64ee4903eb145547a00d6b53042ce92809f82fac7280b37327",
    "docs/index.html": "8103211bce801949709e3a05199f9a5d0ed384e39737e60f0950e72d0cc8d17c",
    "docs/migration-0.2-to-0.3.md": "286484ae87e4be9002ecf7ebda42d8ecc3617aedfd1ee113bbf1dcdc09cf5ba7",
    "docs/migration-preview-3.md": "d4133d7f8e4de4081432e39492d3af8722b600c77c4de0ec5050c5362676e5f0",
    "docs/migration-rc3-to-rc4.md": "6b84a3d242dd70062e2230c425020eb8af97d8869756b7b1695a5c90ae9c09c5",
    "docs/reading-presentation-update.md": "76fa02895552e5169cc497e262fb5940b659437135cbfa7c295a6e5f639a0094",
    "docs/research-boundary.md": "86992ef2760e86230ebba72c8988ac9b43e99560167310a0e31b5cfaeb56cbf5",
    "docs/research-content.gohtml": "b614611e36591d86093a85301a91264a4fa067e00033aad107068470d387d996",
    "docs/research-page-copy.md": "8ef7c57498fc659d70fcb778df91c2a5307df4f537cb02a506c6ba635340eb46",
    "docs/updates.md": "fda0005f30b73a024db7daa207a982978516bff023c369fb9d7236329f0fbcc0",
    "docs/web/ARTIFACT-REVIEW.html": "72848dbffc62411a3519402386941908e102967c3dd3a80b39d5e98ebf3dec00",
    "docs/web/CRITERIA.html": "be72e09cfe511442792ff0bb5ac3fe87c2fde52b789ea2cc77c63d6f4fe3f93c",
    "docs/web/DECISION-REVIEW.html": "da363b3b0e3556ecc2b1c6bab906932aeaa12747b67b83aa2470683ea3713782",
    "docs/web/ENGINEERING-REASONING.html": "f761448123a1abc3589a8f1297f434eda8812bedd17a0ea59cc692f738b6db0c",
    "docs/web/FULL-PROFILE.html": "e7381ec45d0f0ec5e2a427bd5adf922f6f2ebc7f84ff7bb9faba0302e8061d84",
    "docs/web/INDEPENDENT-EVALUATION.html": "f4da6102aaa39d671ec5ecb4629a2f90708384b9e7ecf19bb9f2ede79b397fda",
    "docs/web/PROTOCOL.html": "317ee076dabcbe854d811d9aaaac38e57516a5a152ace6ce56fd228f2b9d465d",
    "docs/web/QUICK-6.html": "79e5bde04d70ccc1049bdf8555bd141ff9dd437d43a2ec0341f8b04a15eeec0e",
    "docs/web/SCENARIOS.html": "642ccc2f42f062751bd3df51c236f101ca355daa7a6a2822d1436ccfdd83abe4",
    "docs/web/START-HERE.html": "78e90cfee3b0c657f01b5238a039cf1292f73561637874224a4e237a06c3013c",
    "docs/web/WORKSHEET.html": "1cd9f3baf185cec7aae634ed7913fd51f6215e67b59b6ef43fd9213001259a3b",
    "docs/web/agent-tools.html": "9875bdffca5044fd8cf6f5550db4c6d45c805ec8ac13d1fab46bc2cdeb342037",
    "docs/web/claims-and-governance.html": "b6b8a7c7be37c2478e6bda24eee333d777897731b333f36c00701a9fe6855373",
    "docs/web/decision-naming-migration.html": "4305b97b63d29e7f815d361ab980372ef78f60f19ca1c5ec510915ee529edef8",
    "docs/web/deep-audit.html": "f969f2e83c1be742cb1f6ffc840a9ddacab52b271a08a090c6d79c19e82a53c3",
    "docs/web/editorial-review.html": "67131772d9960401913fabf61b2ef47ec152c63b9a0ab408ed15505667781d12",
    "docs/web/example-report.html": "74a976f3c33f4a451a000d9d240fe8eefbf914641d46896455717fe4e6fb8adc",
    "docs/web/migration-0.2-to-0.3.html": "d679e8e8407d886c0d5d27b3125e997da359a22f97100b418c3200b4a91ed443",
    "docs/web/migration-preview-3.html": "717d1cdf2ab45a6ddce5ebccaf9cee38fcb9fc8b5c4f117cd060b9491d9adddf",
    "docs/web/migration-rc3-to-rc4.html": "c7cf35be21d09819bbd645851a70b46682bbf5cce25b3ffab0c6b77fb1b147bf",
    "docs/web/research-boundary.html": "101f4d87682f475012e09a3ad7fb8addfe41905651c66665d9ab0f22319dab4e",
    "docs/web/updates.html": "cac6b467a0e6213c4e2a753f0e34e51d5359b24f4184a904536d71d8bdb16398",
    "Templates/adjudication.csv": "3e885c337cfb47e60ca43511042e64cbf0639ef2f024d0a4d7923b73b55272f7",
    "Templates/assessment-brief.md": "5cee8a4df63b1ec6f6605ceb001ea25917818039cdae95b8dae50f9ec5283b7d",
    "Templates/assumptions.csv": "366509ea8444497c1b085720e3cfae3240e6589bae52a6c3d8cfbb379dcf25f5",
    "Templates/batch.csv": "02af62742ec796cee4668cbd19f8cf26daa8c5d577602e3ac584916758440c9d",
    "Templates/challenge-scenarios.csv": "f6c93306b8cb644ee734500b2f8c5b8cd76f931886af4ff34e3a73c460af7b27",
    "Templates/choice-review.csv": "5d26aed66e46ec5f7d75ef35fa263d921b1ece7e927d8f08dce8dfb3ca1d8838",
    "Templates/decision-surfaces.csv": "961183264476033f662afbc340876a6992e6a6bbaf517f2a0227f452e0d1bc48",
    "Templates/decision.csv": "6cddbb795253641fba0c083abec25cba61e74dbd9e9565bfc94c902bfcfed27b",
    "Templates/evaluator-packet.md": "022c1504597ca4aac98ba406bcaebb6cb832b6799743dd30e0564cd5b94faa96",
    "Templates/findings.csv": "c3472e6e9d8aacb7bc560085c71fb223bfeaaeaf855ad1ef2a310d4df32df20d",
    "Templates/recovery-brief.csv": "a3b354fe0e8177e621e8dfe5b5e766bcf91f01209d7e0db16f30495bd53e278f",
    "Templates/recovery.csv": "75d65192a1eee6183a9f2d0a9ac5e48f9f2d46665c8ddacb6a17aa1ebd5a2dd6",
    "Templates/reference-key.csv": "d3cfc2c3e4645d78f837abffdb52c225c0f5e50f9f693acbecb575c111054d40",
    "Templates/requirements-brief.csv": "5728da846cc50c3bb8803ffa3a182734b04cc6e4fae815beb88263bc0cd8de19",
    "Templates/requirements.csv": "d6f5abc6c89e507ee9eb4f497ac15d77973179a233531ac883ba40638ca0ee6d",
    "Worked-Example/Calculation-Notes-rc2.pdf": "b910d5840378d0d9c08af7cfd58556269c9914e1459b8ba4e5b1ac10c2c509e2",
    "Worked-Example/Evaluation-Completed.xlsx": "8a72779b67288d078fee784eefa15492da826ad78ec7ff873c455f246dc495c1",
    "Worked-Example/Evaluator-Packet/Evaluator-Scorecard.pdf": "2b6ce6ff449a3391a22bb3c6249c333980981fad9c9e077e839c981a1d65940b",
    "Worked-Example/Evaluator-Packet/README.md": "fa4cb61b903a73fa2bfde8521dcc5299ed6db3bbeb71f0b3f11e35693b2c1534",
    "Worked-Example/Evaluator-Packet/artifact.html": "252a3fc60eedb21f8f6896df139829a6e86374c9fb69bbcaa9b4c9dd2e15b295",
    "Worked-Example/Evaluator-Packet/assessment-brief.md": "4a15dc0ef6e307ea1925956781bef815520278e7ce2232e9850e4214aa6f7867",
    "Worked-Example/Evaluator-Packet/recovery-brief.csv": "da95fe776df5a3e2f7e8b521054c91da7a716cbc93c9746babd13e76436f99d6",
    "Worked-Example/Evaluator-Packet/requirements-brief.csv": "5b9ff66f2dd4b129ffef38c380725c488c7b486e5d2c1ebfc92e0477ee0648bd",
    "Worked-Example/README.md": "96a087f6d6d264a6e853793259c682e85dd680c6b9c8cd2e13ec84fb98324128",
    "Worked-Example/Worked-Example.pdf": "02ee4bfb3d915e17912fb791298414f5c8e6cf604f83cc64c36467a39d11903f",
    "Worked-Example/adjudication.csv": "2803dbe7cad0b7c86f17959dcc5db43bd77e6ee3e40370c96ff30182f42d5d0c",
    "Worked-Example/artifact.html": "252a3fc60eedb21f8f6896df139829a6e86374c9fb69bbcaa9b4c9dd2e15b295",
    "Worked-Example/assessment-brief.md": "06c33260bc50ef380dea9a191dab678c3f629ac7028fe7524ecfee4ddd145073",
    "Worked-Example/assumptions.csv": "3b1091f2ee16509d9cb0f6a24002a91fa411f35e40ea3084b40d37e54620c9b1",
    "Worked-Example/batch.csv": "60a0994ae6a8d57a3157308048d55d62230905b98b7cdc6cb4d5d2256aab2f42",
    "Worked-Example/challenge-scenarios.csv": "60aa3af42f93b5b5b0dcbe9a8a10649f2ee057401761d3f50034b94847d9a1f1",
    "Worked-Example/choice-review.csv": "f8d9bfef9c14ce69c96a1e343e96a773de94ad33e35a17d3c31c46c3385ac2df",
    "Worked-Example/decision-surfaces.csv": "cc270680b460acc66422c423076640a92cfeaed8261f4dd26bf5b38867d72ef6",
    "Worked-Example/decision.csv": "435f92173990770b935ed3953a1d95c25d5036d3d4390e269faffbfc81b46708",
    "Worked-Example/findings.csv": "80bdfaa36734494c0e7e329f83c7ae029a6e4b76df7b50c3bba8beb7a86b33c1",
    "Worked-Example/recovery-brief.csv": "da95fe776df5a3e2f7e8b521054c91da7a716cbc93c9746babd13e76436f99d6",
    "Worked-Example/recovery.csv": "a4b8aa9ac8a933e968e83f1481a37a933661d220e64f614ef45ad7a9a4209ba0",
    "Worked-Example/reference-key.csv": "2ba12e0e74115a9a784289a7f16ba71ce0ac12d39874ade6f3a91793af92966a",
    "Worked-Example/requirements-brief.csv": "5b9ff66f2dd4b129ffef38c380725c488c7b486e5d2c1ebfc92e0477ee0648bd",
    "Worked-Example/requirements.csv": "fadf5e57a87f65cb8a8a533e8df059f73c9baceb934b85ac919632ca7f1e052e",
    "Worked-Example/runtime-ai-plan/README.md": "b13c16b1c3ded04b417f06810569b7055d2197a5d5bd6d49bb33d3971412296b",
    "Worked-Example/runtime-ai-plan/artifact.md": "bd1c2020a111fb864fbed3768fc5194f07371212a30de32e75b11c5949ce51df",
    "Worked-Example/runtime-ai-plan/assumptions.csv": "7c9022b79b530fe536e3346e8307366e5ff34610a9611508f10c244704fe650c",
    "Worked-Example/runtime-ai-plan/challenge-scenarios.csv": "e8d6a1556865ec59a85727e0c478b14881ecb829ee06ff51c341345528c2bcb1",
    "Worked-Example/runtime-ai-plan/choice-review.csv": "b89afb28a6d12cb261398d8a8c5de171e48ab716c491e75ce9170098f877d911",
    "Worked-Example/runtime-ai-plan/decision-surfaces.csv": "604f60a821e7176bed1db8f1f6db9db1d033b198c14881df421649c8775d2942",
    "Worked-Example/runtime-ai-plan/decision.csv": "97f0fa391da879302ab52cb55b2c3d9d0886c02fb445b11bddacb95540825a08",
    "Worked-Example/runtime-ai-plan/findings.csv": "2d7476d3b602ab13ecb521fcfab8fbdf088e489c6d6f49cf37c574d7bd0f29ad",
    "Worked-Example/runtime-ai-plan/recovery-brief.csv": "3302da57a711d1bbe8abba0d00a38f5cb85d8e816471446c941d8c39e8d7f725",
    "Worked-Example/runtime-ai-plan/recovery.csv": "6c36c91a0ccdeac71b1d6040def8db5b94f0c8fd058528160c1be6888248e8aa",
    "Worked-Example/runtime-ai-plan/requirements-brief.csv": "cd35ae4d199cf7a53bd07d64724c53f46cd35c4b579562d5e53c071e8f47b2f9",
    "Worked-Example/runtime-ai-plan/requirements.csv": "2717b0af305cc7117d9fc8f07c10e18932235f1d1137635e06f792c4d6f8b471",
    "Worked-Example/runtime-ai-plan/walkthrough.md": "4d4dfca83ac7632560024b70c47f6c00e0f1121fa108df06cb4cd5e9bb879f7d",
    "Worked-Example/walkthrough.md": "4c0ba23b9f806e813c9c152c64abdabe86a09a25e50ac679b666e3b486ab3193",
    "Source/Protocol-v0.1.md": "48be2886cac600db8fcd02f0664f172c7d56b6e0be1b8d37791a2072235c330f",
    "Source/README.md": "85097181a21e0ff21b470438603a1f47d1819902dee7091f0399dff44aa78a28",
    "Source/build_workbook.mjs": "cccf6a88e70180d311daa202a244f7db2e4a959864ca72ee0b53780f49e8ebda",
    "Source/verify_example.py": "593b865936d813743f67e9294276121a365b3355a70c5e7b5e8e95e936558bba",
    "Pilot-Kit/comparative-study-plan.md": "1c99952e51b7244ba9fb550d578bcc81bad68b1cfb7405543330395fcbb044a4",
    "Pilot-Kit/feasibility-plan.md": "7cccdf65a89b6e62951d3375ad52bb02e12b928899cf997e1e0130a6634b6c63",
    "Pilot-Kit/feedback-log.csv": "8549253a8670ac3fc5324df1e5dd5d78040cbeaa173f4040dee4460cfcb3dc92",
    "Pilot-Kit/hard-0.2-preview-1-external-packet.md": "4b032003be661a09eb303223a17fe3f39434a99c012677f5828df8cdb18f9e0c",
    "Pilot-Kit/hard-0.2-preview-2-external-packet.md": "eed4ae38614b0e7e0069f0b5aa0ddaaa42deadf999ed8ce27d25fd18e1c4a467",
    "Pilot-Kit/hard-0.2-preview-3-external-packet.md": "29f5cfe3998d9480dcb3b0fabbc7040ffe62128fff1fa9b48906b0c772b1a5ef",
    "Pilot-Kit/hard-0.3-preview-1-external-packet.md": "61be5cd0de5e873b83d1ba72024f5a0ea57f13b412ee8995e06573240c313d15",
    "Pilot-Kit/rc4-candidate-2-external-packet.md": "2b71c1d677ecd793ff7310dad05f9efc447f9cb230ff692014968a027ad97796",
    "Pilot-Kit/rc4-candidate-3-external-packet.md": "d5103796acdfb7f6be4d98097e71a77d097cc0eaf7655404ed49b8e365cf4256",
    "Pilot-Kit/rc4-candidate-4-external-packet.md": "2c1bc5b66b7bb7e71c33fc64fb946824018dcfebde94934ab1aeb56a3aa436b4",
    "Pilot-Kit/rc4-candidate-5-external-packet.md": "94989fc272b6594adb5cf88b1976bbfe326b48fdec5ca9b53004c1815c86fa36",
    "Pilot-Kit/rc4-candidate-6-external-packet.md": "e133ec155d2be5848ce9c46d3399f300bb13725a81f79486c45fc4310a58a617",
    "Pilot-Kit/rc4-external-packet.md": "636e8376305ecfc8afbbf631e3e80453177d911465007b7d86ed80d92782cf42",
    "Pilot-Kit/rc4-pilot-runs.json": "37517e5f3dc66819f61f5a7bb8ace1921282415f10551d2defa5c3eb0985b570",
    "Pilot-Kit/report-template.md": "92619054929877d62175d68fc0f0c295add20bdfccdc57153b68481f8a869665"
  },
  "interpretation": "Software regression evidence only. No human pilot, adoption, endorsement or controlled empirical validation."
}