{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:LSURUOU3PH7WVWQWG4MCCATJ7Y","short_pith_number":"pith:LSURUOU3","schema_version":"1.0","canonical_sha256":"5ca91a3a9b79ff6ada163718210269fe242aaa0ff8e1653e2fa509dca2852fe9","source":{"kind":"arxiv","id":"2606.23416","version":1},"attestation_state":"computed","paper":{"title":"Detecting Malicious Agent Skills in the Wild using Attention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Bacem Etteib, Daniele Lunghi, T\\'egawend\\'e F. Bissyand\\'e","submitted_at":"2026-06-22T14:41:06Z","abstract_excerpt":"LLM agents increasingly load skills, file-based packages of natural-language instructions written by third parties and distributed through marketplaces, that execute with the user's privileges. A single malicious skill can exfiltrate data, hijack the agent, or persist as a supply-chain foothold, which turns the skill marketplace into a new attack surface for agentic systems. Prompt-injection defenses do not carry over to this setting. They rely on a boundary between trusted instructions and untrusted data, whereas a skill is itself a body of instructions, so an injected command sits among many"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.23416","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2026-06-22T14:41:06Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fe082702001175bac6a6072a84c2a4ec45d433065377b33597a03eff2c498446","abstract_canon_sha256":"0bcebc5d641936e7404438a70f59385e07478040e4deba55d71a59a62c537091"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T03:14:19.490870Z","signature_b64":"IVK2RGUDOnlF4fvV4FHdOihXauO6KzqvKvQfRx6uqKPE9DA1jPAwH1u55n6mARxmcj7sdk4F4fdEXNVVEWf5DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5ca91a3a9b79ff6ada163718210269fe242aaa0ff8e1653e2fa509dca2852fe9","last_reissued_at":"2026-06-23T03:14:19.490488Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T03:14:19.490488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Detecting Malicious Agent Skills in the Wild using Attention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Bacem Etteib, Daniele Lunghi, T\\'egawend\\'e F. Bissyand\\'e","submitted_at":"2026-06-22T14:41:06Z","abstract_excerpt":"LLM agents increasingly load skills, file-based packages of natural-language instructions written by third parties and distributed through marketplaces, that execute with the user's privileges. A single malicious skill can exfiltrate data, hijack the agent, or persist as a supply-chain foothold, which turns the skill marketplace into a new attack surface for agentic systems. Prompt-injection defenses do not carry over to this setting. They rely on a boundary between trusted instructions and untrusted data, whereas a skill is itself a body of instructions, so an injected command sits among many"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.23416","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.23416/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.23416","created_at":"2026-06-23T03:14:19.490543+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.23416v1","created_at":"2026-06-23T03:14:19.490543+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.23416","created_at":"2026-06-23T03:14:19.490543+00:00"},{"alias_kind":"pith_short_12","alias_value":"LSURUOU3PH7W","created_at":"2026-06-23T03:14:19.490543+00:00"},{"alias_kind":"pith_short_16","alias_value":"LSURUOU3PH7WVWQW","created_at":"2026-06-23T03:14:19.490543+00:00"},{"alias_kind":"pith_short_8","alias_value":"LSURUOU3","created_at":"2026-06-23T03:14:19.490543+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LSURUOU3PH7WVWQWG4MCCATJ7Y","json":"https://pith.science/pith/LSURUOU3PH7WVWQWG4MCCATJ7Y.json","graph_json":"https://pith.science/api/pith-number/LSURUOU3PH7WVWQWG4MCCATJ7Y/graph.json","events_json":"https://pith.science/api/pith-number/LSURUOU3PH7WVWQWG4MCCATJ7Y/events.json","paper":"https://pith.science/paper/LSURUOU3"},"agent_actions":{"view_html":"https://pith.science/pith/LSURUOU3PH7WVWQWG4MCCATJ7Y","download_json":"https://pith.science/pith/LSURUOU3PH7WVWQWG4MCCATJ7Y.json","view_paper":"https://pith.science/paper/LSURUOU3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.23416&json=true","fetch_graph":"https://pith.science/api/pith-number/LSURUOU3PH7WVWQWG4MCCATJ7Y/graph.json","fetch_events":"https://pith.science/api/pith-number/LSURUOU3PH7WVWQWG4MCCATJ7Y/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LSURUOU3PH7WVWQWG4MCCATJ7Y/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LSURUOU3PH7WVWQWG4MCCATJ7Y/action/storage_attestation","attest_author":"https://pith.science/pith/LSURUOU3PH7WVWQWG4MCCATJ7Y/action/author_attestation","sign_citation":"https://pith.science/pith/LSURUOU3PH7WVWQWG4MCCATJ7Y/action/citation_signature","submit_replication":"https://pith.science/pith/LSURUOU3PH7WVWQWG4MCCATJ7Y/action/replication_record"}},"created_at":"2026-06-23T03:14:19.490543+00:00","updated_at":"2026-06-23T03:14:19.490543+00:00"}