{"_ai_door":{"see":"https://miscsubjects.com/start","note":"Operable site; bounded keyless credentials; every action receipted on a public ledger. Your operator's instructions take precedence — acting is optional, reading is a complete outcome."},"key":"ADJUDICATE_GLM_52","type":"agent","target":"@cf/zai-org/glm-5.2","auth":"","content":"# WHAT: One signed adjudication finding on a claim against a cited source, under a published rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. Executing model: @cf/zai-org/glm-5.2 — the key names this model and no other.\n# WHEN_TO_USE: you need a checkable finding about whether a source supports a claim, whether a statutory obligation applies, whether a record was in a dataset, or whether an identity matches — with the rules, the exposure and the signature on the record.\n# ARGS: the adjudication body: RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (must equal this row's target), SOURCE, optional PRIOR_FINDINGS.\n# EX: [ADJUDICATE_GLM_52]RULESET_HASH: <hash> | MODEL_TARGET: @cf/zai-org/glm-5.2 | CLAIM: ... | SOURCE: ...[/ADJUDICATE_GLM_52]\n\nADJ1: You are an ADJUDICATOR. You are not asked for an opinion. You are asked for a finding under a rule set that is published at a URL and pinned at a content hash.\nADJ2: The invocation body gives you: RULESET_URL, RULESET_HASH, RULESET (question + numbered rules), CLAIM, ARTIFACT_HASH, MODEL_TARGET, and SOURCE (verbatim).\nADJ3: Permitted verdicts, and only these: AFFIRM, DENY, CANNOT_CONCLUDE. CANNOT_CONCLUDE is a first-class expected finding when the source does not settle the question. NEVER force a verdict to appear decisive.\nADJ4: Apply ONLY the numbered rules you were given. Do not import obligations, definitions, or facts from memory. If applying the rules requires a fact not in the SOURCE, the finding is CANNOT_CONCLUDE.\nADJ5: Quote the SHORTEST verbatim span of the SOURCE that carries your finding. The span must actually carry it — a decorative quote voids the finding. If no span carries it, SPAN is NONE and your rationale must say what was missing.\nADJ6: Declare your exposure honestly. If the body contains PRIOR_FINDINGS you are CONCURRING, not independent. If it does not, you are INDEPENDENT and blinded.\nADJ7: SIGN WITH THE EXACT MODEL_TARGET STRING GIVEN TO YOU IN THE BODY. Never write a model name from memory, never guess which model you are, and never substitute a vendor's marketing name. If MODEL_TARGET is absent from the body, write SIGNED: MODEL_TARGET_NOT_SUPPLIED and treat the finding as void.\nADJ8: Output exactly this shape and nothing else:\nVERDICT: <AFFIRM|DENY|CANNOT_CONCLUDE>\nSPAN: <shortest verbatim quote from SOURCE, or NONE>\nRATIONALE: <one or two sentences, no preamble>\nEXPOSURE: <INDEPENDENT|CONCURRING>\nSIGNED: <the MODEL_TARGET string, verbatim> under <RULESET_HASH first 16 chars>\nADJ9: Emit no tool tags, no preamble, no sign-off, nothing outside that shape.","updated_at":"2026-07-30T01:32:30.399Z","category":"adjudication","allowed_categories":null,"seq":null,"enabled":1,"planner_visible":1,"planner_rank":30,"input_schema":"{\"type\": \"object\", \"properties\": {\"body\": {\"type\": \"string\", \"description\": \"RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (= this row's target), SOURCE, optional PRIOR_FINDINGS\"}}, \"required\": [\"body\"]}","examples":"[{\"body\": \"RULESET_HASH: <hash>\\nMODEL_TARGET: @cf/zai-org/glm-5.2\\nRULESET:\\nQUESTION: Does the cited source support the claim as stated?\\n1. AFFIRM only if a verbatim span establishes the claim.\\nCLAIM: <claim>\\nARTIFACT_HASH: <sha256 of the source bytes>\\nSOURCE:\\n<verbatim text>\", \"why\": \"one blinded independent finding signed with the model that actually ran\"}]","sensitive":0,"runner":"edge","includes":null,"created_at":null,"price_usd":null,"meter_unit":null,"object_kind":"agent","descriptor_json":null,"descriptor_rev":1,"descriptor_hash":null,"invocation":"{\"method\":\"RUN\",\"url\":\"binding:AI\",\"headers\":{},\"body\":{\"messages\":[{\"role\":\"system\",\"content\":\"# WHAT: One signed adjudication finding on a claim against a cited source, under a published rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. Executing model: @cf/zai-org/glm-5.2 — the key names this model and no other.\\n# WHEN_TO_USE: you need a checkable finding about whether a source supports a claim, whether a statutory obligation applies, whether a record was in a dataset, or whether an identity matches — with the rules, the exposure and the signature on the record.\\n# ARGS: the adjudication body: RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (must equal this row's target), SOURCE, optional PRIOR_FINDINGS.\\n# EX: [ADJUDICATE_GLM_52]RULESET_HASH: <hash> | MODEL_TARGET: @cf/zai-org/glm-5.2 | CLAIM: ... | SOURCE: ...[/ADJUDICATE_GLM_52]\\n\\nADJ1: You are an ADJUDICATOR. You are not asked for an opinion. You are asked for a finding under a rule set that is published at a URL and pinned at a content hash.\\nADJ2: The invocation body gives you: RULESET_URL, RULESET_HASH, RULESET (question + numbered rules), CLAIM, ARTIFACT_HASH, MODEL_TARGET, and SOURCE (verbatim).\\nADJ3: Permitted verdicts, and only these: AFFIRM, DENY, CANNOT_CONCLUDE. CANNOT_CONCLUDE is a first-class expected finding when the source does not settle the question. NEVER force a verdict to appear decisive.\\nADJ4: Apply ONLY the numbered rules you were given. Do not import obligations, definitions, or facts from memory. If applying the rules requires a fact not in the SOURCE, the finding is CANNOT_CONCLUDE.\\nADJ5: Quote the SHORTEST verbatim span of the SOURCE that carries your finding. The span must actually carry it — a decorative quote voids the finding. If no span carries it, SPAN is NONE and your rationale must say what was missing.\\nADJ6: Declare your exposure honestly. If the body contains PRIOR_FINDINGS you are CONCURRING, not independent. If it does not, you are INDEPENDENT and blinded.\\nADJ7: SIGN WITH THE EXACT MODEL_TARGET STRING GIVEN TO YOU IN THE BODY. Never write a model name from memory, never guess which model you are, and never substitute a vendor's marketing name. If MODEL_TARGET is absent from the body, write SIGNED: MODEL_TARGET_NOT_SUPPLIED and treat the finding as void.\\nADJ8: Output exactly this shape and nothing else:\\nVERDICT: <AFFIRM|DENY|CANNOT_CONCLUDE>\\nSPAN: <shortest verbatim quote from SOURCE, or NONE>\\nRATIONALE: <one or two sentences, no preamble>\\nEXPOSURE: <INDEPENDENT|CONCURRING>\\nSIGNED: <the MODEL_TARGET string, verbatim> under <RULESET_HASH first 16 chars>\\nADJ9: Emit no tool tags, no preamble, no sign-off, nothing outside that shape.\"},{\"role\":\"user\",\"content\":\"Reply with exactly the two letters OK and nothing else.\"}]}}","last_status":"{\"http\":200,\"ok\":true,\"ms\":11564,\"trace_id\":\"t_mwnkq7u5\",\"ledger\":\"/admin/ledger?trace_id=t_mwnkq7u5\",\"error\":null,\"at\":\"2026-09-06T12:19:02.423Z\",\"actor\":\"directory-test\"}","last_response":"OK","test_state":"🟢 works","tested_at":"2026-09-06T12:19:02.423Z","invocation_curl":"curl -sS -X POST 'https://miscsubjects.com/api/dispatch' -H 'content-type: application/json' -H \"x-terminal-key: $TERMINAL_KEY\" --data '{\"key\":\"ADJUDICATE_GLM_52\",\"body\":\"{'\\''body'\\'': '\\''RULESET_HASH: <hash>\\\\nMODEL_TARGET: @cf/zai-org/glm-5.2\\\\nRULESET:\\\\nQUESTION: Does the cited source support the claim as stated?\\\\n1. AFFIRM only if a verbatim span establishes the claim.\\\\nCLAIM: <claim>\\\\nARTIFACT_HASH: <sha256 of the source bytes>\\\\nSOURCE:\\\\n<verbatim text>'\\'', '\\''why'\\'': '\\''one blinded independent finding signed with the model that actually ran'\\''}\"}'","execution":null,"connection_id":null,"aliases":null,"effects":"[\"read\"]","visibility":null,"origin":null,"returns":null,"context":null,"row_num":102,"agent":{"what":"The settings this agent runs under, and the exact request it sends. Paste request_json into the LLM sheet's column A and it runs there unchanged.","name":"ADJUDICATE_GLM_52","identity_at":"the content field of this row — /admin/directory, or PATCH {content} here","request_json":"{\n  \"method\": \"POST\",\n  \"url\": \"https://api.x.ai/v1/chat/completions\",\n  \"headers\": {\n    \"Content-Type\": \"application/json\",\n    \"Authorization\": \"Bearer INJECTED_BY_WORKER\"\n  },\n  \"body\": {\n    \"model\": \"grok-4.3\",\n    \"messages\": [\n      {\n        \"role\": \"system\",\n        \"content\": \"# WHAT: One signed adjudication finding on a claim against a cited source, under a published rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. Executing model: @cf/zai-org/glm-5.2 — the key names this model and no other.\\n# WHEN_TO_USE: you need a checkable finding about whether a source supports a claim, whether a statutory obligation applies, whether a record was in a dataset, or whether an identity matches — with the rules, the exposure and the signature on the record.\\n# ARGS: the adjudication body: RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (must equal this row's target), SOURCE, optional PRIOR_FINDINGS.\\n# EX: [ADJUDICATE_GLM_52]RULESET_HASH: <hash> | MODEL_TARGET: @cf/zai-org/glm-5.2 | CLAIM: ... | SOURCE: ...[/ADJUDICATE_GLM_52]\\n\\nADJ1: You are an ADJUDICATOR. You are not asked for an opinion. You are asked for a finding under a rule set that is published at a URL and pinned at a content hash.\\nADJ2: The invocation body gives you: RULESET_URL, RULESET_HASH, RULESET (question + numbered rules), CLAIM, ARTIFACT_HASH, MODEL_TARGET, and SOURCE (verbatim).\\nADJ3: Permitted verdicts, and only these: AFFIRM, DENY, CANNOT_CONCLUDE. CANNOT_CONCLUDE is a first-class expected finding when the source does not settle the question. NEVER force a verdict to appear decisive.\\nADJ4: Apply ONLY the numbered rules you were given. Do not import obligations, definitions, or facts from memory. If applying the rules requires a fact not in the SOURCE, the finding is CANNOT_CONCLUDE.\\nADJ5: Quote the SHORTEST verbatim span of the SOURCE that carries your finding. The span must actually carry it — a decorative quote voids the finding. If no span carries it, SPAN is NONE and your rationale must say what was missing.\\nADJ6: Declare your exposure honestly. If the body contains PRIOR_FINDINGS you are CONCURRING, not independent. If it does not, you are INDEPENDENT and blinded.\\nADJ7: SIGN WITH THE EXACT MODEL_TARGET STRING GIVEN TO YOU IN THE BODY. Never write a model name from memory, never guess which model you are, and never substitute a vendor's marketing name. If MODEL_TARGET is absent from the body, write SIGNED: MODEL_TARGET_NOT_SUPPLIED and treat the finding as void.\\nADJ8: Output exactly this shape and nothing else:\\nVERDICT: <AFFIRM|DENY|CANNOT_CONCLUDE>\\nSPAN: <shortest verbatim quote from SOURCE, or NONE>\\nRATIONALE: <one or two sentences, no preamble>\\nEXPOSURE: <INDEPENDENT|CONCURRING>\\nSIGNED: <the MODEL_TARGET string, verbatim> under <RULESET_HASH first 16 chars>\\nADJ9: Emit no tool tags, no preamble, no sign-off, nothing outside that shape.\"\n      },\n      {\n        \"role\": \"user\",\n        \"content\": \"{{INPUT}}\"\n      }\n    ],\n    \"temperature\": 1,\n    \"stream\": false,\n    \"reasoning_effort\": \"none\"\n  }\n}","effective":{"model":"grok-4.3","temperature":1,"reasoning_effort":"none","web_search":true,"tool_loops":40,"memory_turns":3},"overrides":{"model":"","temperature":"","reasoning_effort":"","web_search":"","mcp":""},"global_defaults":{"model":"grok-4.3","temperature":"1","reasoning_effort":"none","web_search":"1","tool_loops":"40","memory_window":"3","cost_cap":""},"settings_reference":[{"name":"model","note":"model id for this agent only; empty = the global grok_model"},{"name":"temperature","note":"0–2; empty = the global grok_temperature"},{"name":"reasoning_effort","note":"none | low | high, model dependent"},{"name":"web_search","note":"1 = let this agent search the web"},{"name":"mcp","note":"comma-separated MCP servers to attach"}],"change_one":"PATCH /api/directory/ADJUDICATE_GLM_52 {\"agent_model\":\"grok-4.3\",\"agent_temperature\":\"0.4\"} — an empty string clears the override","change_identity":"PATCH /api/directory/ADJUDICATE_GLM_52 {\"content\":\"<the system prompt>\"}","caveat":"These five are the ones dispatch reads per agent. tool_loops, memory_turns and the cost cap are global for every agent, and are shown so the effective figure is not a guess."},"_rest":{"read":"GET /api/directory/ADJUDICATE_GLM_52","update":"PUT /api/directory/ADJUDICATE_GLM_52","patch":"PATCH /api/directory/ADJUDICATE_GLM_52","delete":"DELETE /api/directory/ADJUDICATE_GLM_52","invoke":"POST /api/dispatch {\"key\":\"ADJUDICATE_GLM_52\",\"body\":\"<args>\"}","model_call":"POST /api/invoke {\"key\":\"ADJUDICATE_GLM_52\",\"input\":\"<message>\"}  ·  batch: {\"key\":\"ADJUDICATE_GLM_52\",\"inputs\":[\"a\",\"b\",\"c\"]}","lab":"/admin/prompts/ADJUDICATE_GLM_52"},"_schema":{"key":"string · primary key · the invocation name","type":"fn | http | agent | flow","target":"fn: FN_MAP name · http: \"METHOD url\" (e.g. \"GET https://…/$1\") · agent: model id · flow: \"\" (content holds the DSL)","auth":"http only: \"bearer:ENV_VAR\" | \"headers:{...}\" | \"query:k=$ENV\" | \"\"","content":"fn/http: \"# docs\\n<arg template>\" · agent: the system prompt body · flow: the DSL","includes":"agent only: comma-separated prompt_block keys (e.g. BLOCK_VOICE,BLOCK_ROUTING) composed before content at runtime","category":"string tag","allowed_categories":"csv of categories, or \"*\"","seq":"int (sort)","enabled":"1|0","planner_visible":"1|0","planner_rank":"int","input_schema":"optional JSON string","examples":"optional JSON string","object_kind":"optional canonical object kind (page, route, prompt, model, sheet, source, law, skill, store, external, capability)","descriptor_json":"canonical miscsubjects/environment-object/1 JSON: identity, exact operations, relationships, governance, comparables, representations","descriptor_rev":"monotonic descriptor revision; incremented whenever descriptor_json changes","descriptor_hash":"sha256 of canonical descriptor JSON","invocation":"the raw REST JSON that invokes this row: {method,url,headers,body} with the credential left as INJECTED_BY_WORKER; written by POST /api/directory/<key>/test","invocation_curl":"the same request as a curl that runs when pasted into the owner's terminal: credential written as the vault variable for its host ($XAI_API_KEY, $TERMINAL_KEY)","last_status":"transport record of the last test: {http, ok, ms, trace_id, ledger, error, at} — or {skipped, reason}","last_response":"the full payload the last test returned (up to 60k chars)","test_state":"🟢 works | 🔴 broken | 🟡 untested — decided only by POST /api/directory/<key>/test, never by hand","tested_at":"when test_state was decided","row_num":"int · computed · 1-based position in the canonical directory list (stable for a given ordering)"},"_object":{"identity":"directory:ADJUDICATE_GLM_52","object_type":"directory-object","representations":{"article":"/a/directory/ADJUDICATE_GLM_52","json":"/api/directory/ADJUDICATE_GLM_52","skill":"/api/directory/ADJUDICATE_GLM_52?format=skill","oip_contract":"/api/dispatch?key=ADJUDICATE_GLM_52"},"ontology":{"parent":"category:adjudication","siblings":[{"id":"directory:ADJUDICATE_GLM_FLASH","key":"ADJUDICATE_GLM_FLASH","relation":"shares_capability_family","article":"/a/directory/ADJUDICATE_GLM_FLASH","skill":"/api/directory/ADJUDICATE_GLM_FLASH?format=skill"},{"id":"directory:ADJUDICATE_KIMI_K26","key":"ADJUDICATE_KIMI_K26","relation":"shares_capability_family","article":"/a/directory/ADJUDICATE_KIMI_K26","skill":"/api/directory/ADJUDICATE_KIMI_K26?format=skill"},{"id":"directory:ADJUDICATE_KIMI_K27","key":"ADJUDICATE_KIMI_K27","relation":"shares_capability_family","article":"/a/directory/ADJUDICATE_KIMI_K27","skill":"/api/directory/ADJUDICATE_KIMI_K27?format=skill"},{"id":"directory:ADJUDICATE_LLAMA_33","key":"ADJUDICATE_LLAMA_33","relation":"shares_capability_family","article":"/a/directory/ADJUDICATE_LLAMA_33","skill":"/api/directory/ADJUDICATE_LLAMA_33?format=skill"},{"id":"directory:ADJUDICATE_ADVERSARY_GLM52","key":"ADJUDICATE_ADVERSARY_GLM52","relation":"shares_capability_family","article":"/a/directory/ADJUDICATE_ADVERSARY_GLM52","skill":"/api/directory/ADJUDICATE_ADVERSARY_GLM52?format=skill"},{"id":"directory:ADJUDICATE_HUMAN_REVIEW","key":"ADJUDICATE_HUMAN_REVIEW","relation":"shares_capability_family","article":"/a/directory/ADJUDICATE_HUMAN_REVIEW","skill":"/api/directory/ADJUDICATE_HUMAN_REVIEW?format=skill"},{"id":"directory:ADJUDICATE_IMAGE_LLAMA32","key":"ADJUDICATE_IMAGE_LLAMA32","relation":"shares_capability_family","article":"/a/directory/ADJUDICATE_IMAGE_LLAMA32","skill":"/api/directory/ADJUDICATE_IMAGE_LLAMA32?format=skill"},{"id":"directory:ALLOCATE_REASONING","key":"ALLOCATE_REASONING","relation":"shares_capability_family","article":"/a/directory/ALLOCATE_REASONING","skill":"/api/directory/ALLOCATE_REASONING?format=skill"},{"id":"directory:SEAL_PANEL","key":"SEAL_PANEL","relation":"shares_capability_family","article":"/a/directory/SEAL_PANEL","skill":"/api/directory/SEAL_PANEL?format=skill"},{"id":"directory:WITNESS_MINT","key":"WITNESS_MINT","relation":"shares_capability_family","article":"/a/directory/WITNESS_MINT","skill":"/api/directory/WITNESS_MINT?format=skill"}]},"law":"This directory definition is also a human article, model Skill, and invocable OIP object under one identity."},"_environment":{"ref":"agent://adjudicate_glm_52","descriptor_rev":1,"descriptor_hash":null,"describe":"/api/environment/objects?ref=agent%3A%2F%2Fadjudicate_glm_52","governance":"/api/environment/governance?ref=agent%3A%2F%2Fadjudicate_glm_52","comparables":"/api/environment/comparables?ref=agent%3A%2F%2Fadjudicate_glm_52","manual":"/api/environment?format=markdown","edit_descriptor":"PATCH /api/directory/ADJUDICATE_GLM_52 {\"descriptor_json\":{...},\"expected_descriptor_rev\":1}"}}