{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BPNRV46AGPCWTLEUKWGGABYUGM","short_pith_number":"pith:BPNRV46A","canonical_record":{"source":{"id":"2605.12875","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-13T01:44:10Z","cross_cats_sorted":[],"title_canon_sha256":"18bf03000c89e0ae0d96318e5b3d246331023ca28717cf77554c1fd848db642c","abstract_canon_sha256":"de19fec0b81d82ee05fe2e40f067b9d10a6dea595a899383d8f98fa002f81c75"},"schema_version":"1.0"},"canonical_sha256":"0bdb1af3c033c569ac94558c600714332b84b62a906f1200529920e5b5cc09a7","source":{"kind":"arxiv","id":"2605.12875","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.12875","created_at":"2026-05-18T03:09:11Z"},{"alias_kind":"arxiv_version","alias_value":"2605.12875v1","created_at":"2026-05-18T03:09:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.12875","created_at":"2026-05-18T03:09:11Z"},{"alias_kind":"pith_short_12","alias_value":"BPNRV46AGPCW","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"BPNRV46AGPCWTLEU","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"BPNRV46A","created_at":"2026-05-18T12:33:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BPNRV46AGPCWTLEUKWGGABYUGM","target":"record","payload":{"canonical_record":{"source":{"id":"2605.12875","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-13T01:44:10Z","cross_cats_sorted":[],"title_canon_sha256":"18bf03000c89e0ae0d96318e5b3d246331023ca28717cf77554c1fd848db642c","abstract_canon_sha256":"de19fec0b81d82ee05fe2e40f067b9d10a6dea595a899383d8f98fa002f81c75"},"schema_version":"1.0"},"canonical_sha256":"0bdb1af3c033c569ac94558c600714332b84b62a906f1200529920e5b5cc09a7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:09:11.228266Z","signature_b64":"2k4v7zFqwOoTpSnJUmpSbsqieWBkg5jmI7G7/9lNe9/cCvM45wnlfZJ85Gq/kpdCabAI/LM0NQJmctSlnO5SCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0bdb1af3c033c569ac94558c600714332b84b62a906f1200529920e5b5cc09a7","last_reissued_at":"2026-05-18T03:09:11.227530Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:09:11.227530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.12875","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:09:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CEz0w5Oj0wI5hpeSjEeBXYMhLdHTKwysqSghxaW83Xq5y7hQk7ZHJ847LT5JJZbYuKrCjUO1zWF2oqi9InU6Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T13:08:13.665234Z"},"content_sha256":"2ef67080b3e51431a89cc01daa699390c1ed835a4b7cd58c0cf0fd24752641cb","schema_version":"1.0","event_id":"sha256:2ef67080b3e51431a89cc01daa699390c1ed835a4b7cd58c0cf0fd24752641cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BPNRV46AGPCWTLEUKWGGABYUGM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Do Skill Descriptions Tell the Truth? Detecting Undisclosed Security Behaviors in Code-Backed LLM Skills","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"LLM skill descriptions often omit security-relevant operations performed by their code implementations, which SKILLSCOPE detects via source-level graphs.","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Bang Fu, Baoning Niu, Huan Xing, Wenhui He, Xing Fan, Yue Li, Zehua Zhang","submitted_at":"2026-05-13T01:44:10Z","abstract_excerpt":"Programmatic skills in LLM ecosystems consist of a natural-language description and executable implementation files. Users and LLMs rely on the description to understand the skill's scope. However, the implementation may perform security-relevant operations, such as credential access, network communication, or command execution, that the description does not state. We study this description--implementation inconsistency by asking whether the implementation stays within the security-relevant scope declared in the description. We manually analyze 920 real-world programmatic skills and construct "},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"On 4,556 programmatic skills with double-blind human review, SKILLSCOPE achieves a precision of 84.8% and a recall of 96.5% for identifying inconsistency. Confirmed inconsistency affects 9.4% of skills.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The 11-category taxonomy constructed from 920 manually analyzed skills is assumed to comprehensively cover all security-relevant operations that could appear in implementations, with no major categories missed or over-generalized.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"SKILLSCOPE detects undisclosed security behaviors in LLM skill implementations via security property graphs and taxonomy-based consistency checking, identifying confirmed inconsistencies in 9.4% of 4,556 evaluated skills with 84.8% precision and 96.5% recall against human review.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"LLM skill descriptions often omit security-relevant operations performed by their code implementations, which SKILLSCOPE detects via source-level graphs.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"4403115f4d7a2874b2b2e5a8a6419430041e64b87e808045062629c9f7a85164"},"source":{"id":"2605.12875","kind":"arxiv","version":1},"verdict":{"id":"83e3ddb8-aa33-4eec-8aa8-b4fb71648b86","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-14T19:00:43.128361Z","strongest_claim":"On 4,556 programmatic skills with double-blind human review, SKILLSCOPE achieves a precision of 84.8% and a recall of 96.5% for identifying inconsistency. Confirmed inconsistency affects 9.4% of skills.","one_line_summary":"SKILLSCOPE detects undisclosed security behaviors in LLM skill implementations via security property graphs and taxonomy-based consistency checking, identifying confirmed inconsistencies in 9.4% of 4,556 evaluated skills with 84.8% precision and 96.5% recall against human review.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The 11-category taxonomy constructed from 920 manually analyzed skills is assumed to comprehensively cover all security-relevant operations that could appear in implementations, with no major categories missed or over-generalized.","pith_extraction_headline":"LLM skill descriptions often omit security-relevant operations performed by their code implementations, which SKILLSCOPE detects via source-level graphs."},"references":{"count":31,"sample":[{"doi":"","year":2026,"title":"Extend claude with skills,","work_id":"3dd2c273-4727-49cc-bd5c-45e4045132fe","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2026,"title":"GitHub, “About agent skills,” https://docs.github.com/en/copilot/concepts/ agents/about-agent-skills, 2026, gitHub Docs. Accessed: 2026-04-14","work_id":"c197115b-5fff-48d6-b976-7758632091f9","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2026,"title":"OpenAI, “Skills in chatgpt,” 2026, official documentation. [Online]. Available: https://help.openai.com/en/articles/20001066-skills-in-chatgpt","work_id":"c1fda2ed-19d8-4f0d-82d4-dcccd2550284","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2026,"title":"Creating agent skills for github copilot,","work_id":"eb8b70ad-7f8b-4dd5-b2dd-b4f3daf0da1a","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2026,"title":"Anthropic, “Claude code overview,” https://docs.anthropic.com/en/ docs/agents-and-tools/claude-code/overview, 2026, claude Code Docs. Accessed: 2026-04-14","work_id":"f6d498da-18b8-46b7-9026-044008add1ff","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":31,"snapshot_sha256":"cd8a533037401e5105ae9fecef6e99769d2f704c91dc70b665f7c3411b1101e4","internal_anchors":3},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":"83e3ddb8-aa33-4eec-8aa8-b4fb71648b86"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:09:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dKq7WXLeDoklqoihbmGiDAlu5Pg8dboA5iKvA48hu5B2CaCNmwmEilOlyUelW5quQai5r89Ca6z22QuJr9PDAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T13:08:13.666566Z"},"content_sha256":"02b55cc74fbafe50844434760f96abc84430623685c89bed70c52036deacfc15","schema_version":"1.0","event_id":"sha256:02b55cc74fbafe50844434760f96abc84430623685c89bed70c52036deacfc15"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BPNRV46AGPCWTLEUKWGGABYUGM/bundle.json","state_url":"https://pith.science/pith/BPNRV46AGPCWTLEUKWGGABYUGM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BPNRV46AGPCWTLEUKWGGABYUGM/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-23T13:08:13Z","links":{"resolver":"https://pith.science/pith/BPNRV46AGPCWTLEUKWGGABYUGM","bundle":"https://pith.science/pith/BPNRV46AGPCWTLEUKWGGABYUGM/bundle.json","state":"https://pith.science/pith/BPNRV46AGPCWTLEUKWGGABYUGM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BPNRV46AGPCWTLEUKWGGABYUGM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BPNRV46AGPCWTLEUKWGGABYUGM","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"de19fec0b81d82ee05fe2e40f067b9d10a6dea595a899383d8f98fa002f81c75","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-13T01:44:10Z","title_canon_sha256":"18bf03000c89e0ae0d96318e5b3d246331023ca28717cf77554c1fd848db642c"},"schema_version":"1.0","source":{"id":"2605.12875","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.12875","created_at":"2026-05-18T03:09:11Z"},{"alias_kind":"arxiv_version","alias_value":"2605.12875v1","created_at":"2026-05-18T03:09:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.12875","created_at":"2026-05-18T03:09:11Z"},{"alias_kind":"pith_short_12","alias_value":"BPNRV46AGPCW","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"BPNRV46AGPCWTLEU","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"BPNRV46A","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:02b55cc74fbafe50844434760f96abc84430623685c89bed70c52036deacfc15","target":"graph","created_at":"2026-05-18T03:09:11Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"On 4,556 programmatic skills with double-blind human review, SKILLSCOPE achieves a precision of 84.8% and a recall of 96.5% for identifying inconsistency. Confirmed inconsistency affects 9.4% of skills."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"The 11-category taxonomy constructed from 920 manually analyzed skills is assumed to comprehensively cover all security-relevant operations that could appear in implementations, with no major categories missed or over-generalized."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"SKILLSCOPE detects undisclosed security behaviors in LLM skill implementations via security property graphs and taxonomy-based consistency checking, identifying confirmed inconsistencies in 9.4% of 4,556 evaluated skills with 84.8% precision and 96.5% recall against human review."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"LLM skill descriptions often omit security-relevant operations performed by their code implementations, which SKILLSCOPE detects via source-level graphs."}],"snapshot_sha256":"4403115f4d7a2874b2b2e5a8a6419430041e64b87e808045062629c9f7a85164"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Programmatic skills in LLM ecosystems consist of a natural-language description and executable implementation files. Users and LLMs rely on the description to understand the skill's scope. However, the implementation may perform security-relevant operations, such as credential access, network communication, or command execution, that the description does not state. We study this description--implementation inconsistency by asking whether the implementation stays within the security-relevant scope declared in the description. We manually analyze 920 real-world programmatic skills and construct ","authors_text":"Bang Fu, Baoning Niu, Huan Xing, Wenhui He, Xing Fan, Yue Li, Zehua Zhang","cross_cats":[],"headline":"LLM skill descriptions often omit security-relevant operations performed by their code implementations, which SKILLSCOPE detects via source-level graphs.","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-13T01:44:10Z","title":"Do Skill Descriptions Tell the Truth? Detecting Undisclosed Security Behaviors in Code-Backed LLM Skills"},"references":{"count":31,"internal_anchors":3,"resolved_work":31,"sample":[{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":1,"title":"Extend claude with skills,","work_id":"3dd2c273-4727-49cc-bd5c-45e4045132fe","year":2026},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":2,"title":"GitHub, “About agent skills,” https://docs.github.com/en/copilot/concepts/ agents/about-agent-skills, 2026, gitHub Docs. Accessed: 2026-04-14","work_id":"c197115b-5fff-48d6-b976-7758632091f9","year":2026},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":3,"title":"OpenAI, “Skills in chatgpt,” 2026, official documentation. [Online]. Available: https://help.openai.com/en/articles/20001066-skills-in-chatgpt","work_id":"c1fda2ed-19d8-4f0d-82d4-dcccd2550284","year":2026},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":4,"title":"Creating agent skills for github copilot,","work_id":"eb8b70ad-7f8b-4dd5-b2dd-b4f3daf0da1a","year":2026},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":5,"title":"Anthropic, “Claude code overview,” https://docs.anthropic.com/en/ docs/agents-and-tools/claude-code/overview, 2026, claude Code Docs. Accessed: 2026-04-14","work_id":"f6d498da-18b8-46b7-9026-044008add1ff","year":2026}],"snapshot_sha256":"cd8a533037401e5105ae9fecef6e99769d2f704c91dc70b665f7c3411b1101e4"},"source":{"id":"2605.12875","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-14T19:00:43.128361Z","id":"83e3ddb8-aa33-4eec-8aa8-b4fb71648b86","model_set":{"reader":"grok-4.3"},"one_line_summary":"SKILLSCOPE detects undisclosed security behaviors in LLM skill implementations via security property graphs and taxonomy-based consistency checking, identifying confirmed inconsistencies in 9.4% of 4,556 evaluated skills with 84.8% precision and 96.5% recall against human review.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"LLM skill descriptions often omit security-relevant operations performed by their code implementations, which SKILLSCOPE detects via source-level graphs.","strongest_claim":"On 4,556 programmatic skills with double-blind human review, SKILLSCOPE achieves a precision of 84.8% and a recall of 96.5% for identifying inconsistency. Confirmed inconsistency affects 9.4% of skills.","weakest_assumption":"The 11-category taxonomy constructed from 920 manually analyzed skills is assumed to comprehensively cover all security-relevant operations that could appear in implementations, with no major categories missed or over-generalized."}},"verdict_id":"83e3ddb8-aa33-4eec-8aa8-b4fb71648b86"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:2ef67080b3e51431a89cc01daa699390c1ed835a4b7cd58c0cf0fd24752641cb","target":"record","created_at":"2026-05-18T03:09:11Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"de19fec0b81d82ee05fe2e40f067b9d10a6dea595a899383d8f98fa002f81c75","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-13T01:44:10Z","title_canon_sha256":"18bf03000c89e0ae0d96318e5b3d246331023ca28717cf77554c1fd848db642c"},"schema_version":"1.0","source":{"id":"2605.12875","kind":"arxiv","version":1}},"canonical_sha256":"0bdb1af3c033c569ac94558c600714332b84b62a906f1200529920e5b5cc09a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0bdb1af3c033c569ac94558c600714332b84b62a906f1200529920e5b5cc09a7","first_computed_at":"2026-05-18T03:09:11.227530Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:09:11.227530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2k4v7zFqwOoTpSnJUmpSbsqieWBkg5jmI7G7/9lNe9/cCvM45wnlfZJ85Gq/kpdCabAI/LM0NQJmctSlnO5SCw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:09:11.228266Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.12875","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ef67080b3e51431a89cc01daa699390c1ed835a4b7cd58c0cf0fd24752641cb","sha256:02b55cc74fbafe50844434760f96abc84430623685c89bed70c52036deacfc15"],"state_sha256":"2ab7ce68bdd8ea098d4e22cebc7a5358e1b1cdd2dcad0109efb8c4846511b328"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VAqw2A6Fi7dw/ej5eUxoE+/CoLNSekVcj3QPiknGX/E+Sn61dpOZ63nhbTlyCVVVq6bOcNZ2YD34cYGWQXKyAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T13:08:13.671622Z","bundle_sha256":"a0c101658e5d87eeb442d1be6dee44c77d4a4c8a53ad55cdc2939df9b3bd8f00"}}