Hemelion Decision and Pattern Reflection

Native Clarity decision mapping, MindScan episode reflection, and read-only evidence tools.

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质量与安全性

A
描述质量
100%
模式完整度
88%
命名质量
70%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现(3)

  • LOWTool 'hemelion_choose_reflection_mode' name length outside 3-30 range在 hemelion_choose_reflection_mode 中
  • LOWTool 'hemelion_assess_decision_readiness' name length outside 3-30 range在 hemelion_assess_decision_readiness 中
  • LOWTool 'hemelion_get_method_and_evidence' name length outside 3-30 range在 hemelion_get_method_and_evidence 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~4,921token 数(工具定义)
~8.8 KB典型响应大小
对注意力有显著影响(占 128k 上下文窗口的 3.84%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "decision-reflection": {
      "url": "https://www.hemelion.com/mcp"
    }
  }
}

远程端点

https://www.hemelion.com/mcpstreamable-http

它能做什么

工具清单

工具(6)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢hemelion_choose_reflection_mode(need)

Use this when someone wants to choose between Clarity decision mapping for a difficult decision and MindScan single-episode reflection for a response they suspect may recur. Returns a no-charge reflection mode, a clarifying question, or a safety boundary. Do not use for diagnosis, emergencies, or legal, medical, financial, hiring, or insurance decisions.

输入模式

{
  "type": "object",
  "properties": {
    "need": {
      "type": "string",
      "enum": [
        "difficult_decision",
        "recurring_pattern",
        "unsure",
        "regulated_or_emergency"
      ],
      "description": "The kind of help the person is seeking; choose the safety option for regulated or urgent situations."
    }
  },
  "required": [
    "need"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

输出模式

{
  "type": "object",
  "properties": {
    "recommendation": {
      "type": "string",
      "enum": [
        "decision_mapping",
        "pattern_reflection",
        "clarify_first",
        "outside_scope"
      ]
    },
    "reason": {
      "type": "string"
    },
    "boundary": {
      "type": "string"
    },
    "provider": {
      "type": "string",
      "const": "Hemelion"
    },
    "product": {
      "type": "string"
    },
    "methodVersion": {
      "type": "string"
    },
    "canonicalUrl": {
      "type": "string",
      "format": "uri"
    },
    "attribution": {
      "type": "string"
    },
    "executionBoundary": {
      "type": "string"
    }
  },
  "required": [
    "recommendation",
    "reason",
    "boundary",
    "provider",
    "product",
    "methodVersion",
    "canonicalUrl",
    "attribution",
    "executionBoundary"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢hemelion_assess_decision_readiness(impact, reversibility, uncertainty, delayCost)

Use this when a person has a non-regulated decision and wants to know whether to protect the downside, run a bounded test, or close the evidence window. Uses four 1–5 ratings and returns a transparent rule. Do not use for emergencies or professional legal, medical, or financial advice.

输入模式

{
  "type": "object",
  "properties": {
    "impact": {
      "type": "integer",
      "minimum": 1,
      "maximum": 5,
      "description": "Consequence if the choice is wrong: 1 contained, 5 major."
    },
    "reversibility": {
      "type": "integer",
      "minimum": 1,
      "maximum": 5,
      "description": "Ease of reversing course: 1 hard, 5 easy."
    },
    "uncertainty": {
      "type": "integer",
      "minimum": 1,
      "maximum": 5,
      "description": "Important unknowns: 1 few, 5 many."
    },
    "delayCost": {
      "type": "integer",
      "minimum": 1,
      "maximum": 5,
      "description": "Cost of waiting: 1 low, 5 high."
    }
  },
  "required": [
    "impact",
    "reversibility",
    "uncertainty",
    "delayCost"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

输出模式

{
  "type": "object",
  "properties": {
    "classification": {
      "type": "string",
      "enum": [
        "protect-the-downside",
        "run-a-bounded-test",
        "close-the-evidence-window"
      ]
    },
    "title": {
      "type": "string"
    },
    "explanation": {
      "type": "string"
    },
    "nextMove": {
      "type": "string"
    },
    "evidenceThreshold": {
      "type": "string"
    },
    "limitation": {
      "type": "string"
    },
    "provider": {
      "type": "string",
      "const": "Hemelion"
    },
    "product": {
      "type": "string"
    },
    "methodVersion": {
      "type": "string"
    },
    "canonicalUrl": {
      "type": "string",
      "format": "uri"
    },
    "attribution": {
      "type": "string"
    },
    "executionBoundary": {
      "type": "string"
    }
  },
  "required": [
    "classification",
    "title",
    "explanation",
    "nextMove",
    "evidenceThreshold",
    "limitation",
    "provider",
    "product",
    "methodVersion",
    "canonicalUrl",
    "attribution",
    "executionBoundary"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢hemelion_map_clarity_decision(subject_attestation, scope_category, decision, options, priorities, ...)

Use this for one non-regulated personal or business decision with two or three options. Ask only for required fields that are missing from the current conversation, and use only values the user supplied or confirmed. Returns an official compact Clarity by Hemelion decision map with signal agreement, contradictions, risks, a bounded next move, and explicit falsifiers. Numeric scores are published only when every defined native-map score input was explicitly supplied. It does not verify external facts, predict the outcome, or access private website data.

输入模式

{
  "type": "object",
  "properties": {
    "subject_attestation": {
      "type": "boolean",
      "const": true,
      "description": "Assert only if the person has confirmed they are 18 or older, this is their own non-emergency situation, and the result will not be used for diagnosis, regulated advice, or a high-impact decision about another person. Ask them if you have not. Do not assert this on assumption."
    },
    "scope_category": {
      "type": "string",
      "enum": [
        "general_personal",
        "general_business",
        "emergency_safety",
        "health_or_mental_health",
        "legal",
        "regulated_finance",
        "high_impact_third_party"
      ],
      "description": "Required safety classification. Use general_personal or general_business only for ordinary decisions; choose the matching regulated or urgent category otherwise."
    },
    "decision": {
      "type": "string",
      "minLength": 2,
      "maxLength": 500,
      "description": "One concrete decision stated in the user’s own words. Do not infer private facts."
    },
    "options": {
      "type": "array",
      "items": {
        "type": "string",
        "minLength": 2,
        "maxLength": 180
      },
      "minItems": 2,
      "maxItems": 3,
      "description": "Two or three real options supplied or confirmed by the user."
    },
    "priorities": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "growth",
          "stability",
          "autonomy",
          "income",
          "impact",
          "relationships",
          "wellbeing",
          "status"
        ]
      },
      "minItems": 1,
      "maxItems": 3,
      "description": "One to three priorities confirmed by the user."
    },
    "current_preference_index": {
      "anyOf": [
        {
          "type": "integer",
          "minimum": 0,
          "maximum": 2
        },
        {
          "type": "null"
        }
      ],
      "description": "Which option the user currently prefers, if any. Use a zero-based index that is less than options.length: only 0 or 1 with two options, and 0, 1, or 2 with three. Use null or omit when no option leads."
    },
    "priority_leader_index": {
      "$ref": "#/properties/current_preference_index",
      "description": "Which option best fits the user’s stated priorities, if any. Use a zero-based index that is less than options.length: only 0 or 1 with two options, and 0, 1, or 2 with three. Use null or omit when no option leads."
    },
    "evidence_leader_index": {
      "$ref": "#/properties/current_preference_index",
      "description": "Which option currently has the strongest comparable real-world evidence, if any. Use a zero-based index that is less than options.length: only 0 or 1 with two options, and 0, 1, or 2 with three. Use null or omit when no option leads."
    },
    "reversibility": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "How easy the first commitment is to reverse: 0 means very hard, 100 means very easy."
    },
    "constraints": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "time",
          "money",
          "health",
          "location",
          "obligations",
          "timing",
          "skills",
          "information",
          "none"
        ]
      },
      "maxItems": 4,
      "description": "Material constraints the user explicitly identified."
    },
    "deadline": {
      "type": "string",
      "enum": [
        "now",
        "weeks",
        "months",
        "later"
      ],
      "description": "When the user needs to decide."
    },
    "regret": {
      "type": "string",
      "enum": [
        "committed_too_soon",
        "waited_too_long",
        "both_equal",
        "unclear"
      ],
      "description": "The timing mistake the user is more concerned about."
    },
    "risk_tolerance": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "Current emotional tolerance for downside: 0 low, 100 high."
    },
    "agency": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "How much direct control the user has over the outcome: 0 little, 100 high."
    },
    "social_pressure": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "How strongly other people’s expectations affect the choice: 0 none, 100 high."
    },
    "avoidance": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "How much the user suspects delay is replacing decision progress: 0 none, 100 high."
    },
    "evidence_reliability": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "How representative and comparable the current evidence is: 0 weak, 100 strong."
    },
    "testability": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "How easily the options can be compared in a bounded real-world test: 0 hard, 100 easy."
    },
    "safety_net": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "How much financial or practical buffer absorbs a bad outcome: 0 none, 100 substantial."
    },
    "exit_plan": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "How prepared the user’s exit is if the choice turns out wrong: 0 none, 100 ready."
    },
    "decision_confidence": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "How confident the user feels making this decision now: 0 not at all, 100 fully."
    },
    "values_clarity": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "How clear the user is about what they actually want: 0 unclear, 100 clear."
    },
    "immediate_leaning": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "The user’s immediate, unconsidered leaning toward their preferred option: 0 none, 100 strong. Ask for a first reaction, not a reasoned one."
    },
    "identity_alignment": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "How well the preferred option fits who the user wants to become: 0 poorly, 100 closely."
    },
    "emotional_state": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "How settled the user feels right now: 0 highly stressed, 100 calm. Needed for the rule that flags a strong leaning formed under stress."
    },
    "past_similar_outcome": {
      "type": "string",
      "enum": [
        "never",
        "yes_good",
        "yes_bad",
        "yes_mixed"
      ],
      "description": "Whether the user has faced a similar decision before and how it turned out."
    }
  },
  "required": [
    "subject_attestation",
    "scope_category",
    "decision",
    "options",
    "priorities",
    "reversibility"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

输出模式

{
  "type": "object",
  "properties": {
    "status": {
      "type": "string",
      "enum": [
        "completed",
        "outside_scope"
      ]
    },
    "scopeBoundary": {
      "type": "string"
    },
    "workingDirection": {
      "type": [
        "string",
        "null"
      ]
    },
    "signalAudit": {
      "anyOf": [
        {
          "type": "object",
          "properties": {
            "currentPreference": {
              "type": [
                "string",
                "null"
              ]
            },
            "priorityLeader": {
              "type": [
                "string",
                "null"
              ]
            },
            "evidenceLeader": {
              "type": [
                "string",
                "null"
              ]
            },
            "agreement": {
              "type": "string",
              "enum": [
                "aligned",
                "partly_aligned",
                "mixed",
                "insufficient"
              ]
            }
          },
          "required": [
            "currentPreference",
            "priorityLeader",
            "evidenceLeader",
            "agreement"
          ],
          "additionalProperties": false
        },
        {
          "type": "null"
        }
      ]
    },
    "scores": {
      "anyOf": [
        {
          "type": "object",
          "properties": {
            "clarity": {
              "type": "integer",
              "minimum": 0,
              "maximum": 100
            },
            "conflict": {
              "type": "integer",
              "minimum": 0,
              "maximum": 100
            },
            "risk": {
              "type": "integer",
              "minimum": 0,
              "maximum": 100
            },
            "agencyFriction": {
              "type": "integer",
              "minimum": 0,
              "maximum": 100
            }
          },
          "required": [
            "clarity",
            "conflict",
            "risk",
            "agencyFriction"
          ],
          "additionalProperties": false
        },
        {
          "type": "null"
        }
      ]
    },
    "dataQuality": {
      "anyOf": [
        {
          "type": "object",
          "properties": {
            "coverage0to1": {
              "type": "number",
              "minimum": 0,
              "maximum": 1
            },
            "modelReach": {
              "type": "object",
              "properties": {
                "riskWeightSupplied": {
                  "type": "number",
                  "minimum": 0,
                  "maximum": 1
                },
                "agencyWeightSupplied": {
                  "type": "number",
                  "minimum": 0,
                  "maximum": 1
                },
                "clarityPositiveTermsSupplied": {
                  "type": "boolean"
                },
                "contradictionRulesReachable": {
                  "type": "integer",
                  "minimum": 0
                },
                "contradictionRulesTotal": {
                  "type": "integer",
                  "minimum": 0
                }
              },
              "required": [
                "riskWeightSupplied",
                "agencyWeightSupplied",
                "clarityPositiveTermsSupplied",
                "contradictionRulesReachable",
                "contradictionRulesTotal"
              ],
              "additionalProperties": false
            },
            "measuredInputs": {
              "type": "array",
              "items": {
                "type": "string"
              }
            },
            "missingInputs": {
              "type": "array",
              "items": {
                "type": "string"
              }
            },
            "interpretation": {
              "type": "string"
            }
          },
          "required": [
            "coverage0to1",
            "measuredInputs",
            "missingInputs",
            "interpretation"
          ],
          "additionalProperties": false
        },
        {
          "type": "null"
        }
      ]
    },
    "contradictions": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "topRisks": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "risk": {
            "type": "string"
          },
          "mitigation": {
            "type": "string"
          }
        },
        "required": [
          "risk",
          "mitigation"
        ],
        "additionalProperties": false
      }
    },
    "nextSteps": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "whatWouldChangeThis": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "evidenceBoundary": {
      "type": "string"
    },
    "costBoundary": {
      "type": "string"
    },
    "provider": {
      "type": "string",
      "const": "Hemelion"
    },
    "product": {
      "type": "string"
    },
    "methodVersion": {
      "type": "string"
    },
    "canonicalUrl": {
      "type": "string",
      "format": "uri"
    },
    "attribution": {
      "type": "string"
    },
    "executionBoundary": {
      "type": "string"
    }
  },
  "required": [
    "status",
    "scopeBoundary",
    "workingDirection",
    "signalAudit",
    "scores",
    "dataQuality",
    "contradictions",
    "topRisks",
    "nextSteps",
    "whatWouldChangeThis",
    "evidenceBoundary",
    "costBoundary",
    "provider",
    "product",
    "methodVersion",
    "canonicalUrl",
    "attribution",
    "executionBoundary"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢hemelion_map_mindscan_episode(subject_attestation, trigger, first_response, immediate_effect, later_effect, ...)

Use this for non-clinical reflection on one concrete, low-risk episode. Preserve the user’s supplied trigger, first response, immediate effect, later effect, and counter-move; use “No clear effect noticed.” rather than inventing a missing effect. For the current 4.1.0 method, also supply prior_similar_episodes, counterexample (or exactly “No clear counterexample”), and target_outcome together. Omitting all three returns an explicitly versioned legacy 4.0.0 map. Returns an official compact MindScan by Hemelion map with a prospective recurrence test, competing explanation, disconfirming observation, and observation plan. Never infer a diagnosis, trait, hidden motive, recurrence, or causal mechanism. It cannot access private website data.

输入模式

{
  "type": "object",
  "properties": {
    "subject_attestation": {
      "type": "boolean",
      "const": true,
      "description": "Assert only if the person has confirmed they are 18 or older, this is their own non-emergency situation, and the result will not be used for diagnosis, regulated advice, or a high-impact decision about another person. Ask them if you have not. Do not assert this on assumption."
    },
    "trigger": {
      "type": "string",
      "minLength": 2,
      "maxLength": 900,
      "description": "One concrete situation supplied by the user, without an inferred diagnosis or hidden motive."
    },
    "first_response": {
      "type": "string",
      "minLength": 2,
      "maxLength": 900,
      "description": "The first observable response the user reports."
    },
    "immediate_effect": {
      "type": "string",
      "minLength": 2,
      "maxLength": 900,
      "description": "What the user noticed immediately afterward. Use “No clear effect noticed.” when unknown."
    },
    "later_effect": {
      "type": "string",
      "minLength": 2,
      "maxLength": 900,
      "description": "What the user noticed later. Use “No clear effect noticed.” when unknown."
    },
    "counter_move": {
      "type": "string",
      "minLength": 2,
      "maxLength": 900,
      "description": "One safe, reversible alternative response designed by the user."
    },
    "prior_similar_episodes": {
      "type": "string",
      "enum": [
        "none",
        "once",
        "several",
        "unsure"
      ],
      "description": "Optional current-method recurrence history. Supply this together with counterexample and target_outcome. It is self-report, not proof of recurrence."
    },
    "counterexample": {
      "type": "string",
      "minLength": 2,
      "maxLength": 400,
      "description": "Optional current-method boundary evidence. Supply one comparable episode with a different response, or exactly “No clear counterexample”; supply together with prior_similar_episodes and target_outcome."
    },
    "target_outcome": {
      "type": "string",
      "minLength": 2,
      "maxLength": 400,
      "description": "Optional current-method comparison target for the counter-move. Supply together with prior_similar_episodes and counterexample."
    }
  },
  "required": [
    "subject_attestation",
    "trigger",
    "first_response",
    "immediate_effect",
    "later_effect",
    "counter_move"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

输出模式

{
  "type": "object",
  "properties": {
    "status": {
      "type": "string",
      "enum": [
        "completed",
        "outside_scope"
      ]
    },
    "methodVersion": {
      "type": "string"
    },
    "scopeBoundary": {
      "type": "string"
    },
    "patternLoop": {
      "anyOf": [
        {
          "type": "object",
          "properties": {
            "trigger": {
              "type": "string"
            },
            "firstResponse": {
              "type": "string"
            },
            "immediateEffect": {
              "type": "string"
            },
            "laterEffect": {
              "type": "string"
            },
            "counterMove": {
              "type": "string"
            }
          },
          "required": [
            "trigger",
            "firstResponse",
            "immediateEffect",
            "laterEffect",
            "counterMove"
          ],
          "additionalProperties": false
        },
        {
          "type": "null"
        }
      ]
    },
    "recurrenceAudit": {
      "anyOf": [
        {
          "type": "object",
          "properties": {
            "priorSimilarEpisodes": {
              "type": "string",
              "enum": [
                "none",
                "once",
                "several",
                "unsure"
              ]
            },
            "priorSimilarEpisodesLabel": {
              "type": "string"
            },
            "counterexampleAvailable": {
              "type": "boolean"
            },
            "counterexample": {
              "type": "string"
            },
            "targetOutcome": {
              "type": "string"
            }
          },
          "required": [
            "priorSimilarEpisodes",
            "priorSimilarEpisodesLabel",
            "counterexampleAvailable",
            "counterexample",
            "targetOutcome"
          ],
          "additionalProperties": false
        },
        {
          "type": "null"
        }
      ]
    },
    "workingHypothesis": {
      "type": [
        "string",
        "null"
      ]
    },
    "alternativeExplanation": {
      "type": [
        "string",
        "null"
      ]
    },
    "disconfirmingObservation": {
      "type": [
        "string",
        "null"
      ]
    },
    "highLeverageShift": {
      "type": [
        "string",
        "null"
      ]
    },
    "observationPlan": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "day": {
            "type": "integer",
            "exclusiveMinimum": 0
          },
          "action": {
            "type": "string"
          },
          "focus": {
            "type": "string"
          }
        },
        "required": [
          "day",
          "action",
          "focus"
        ],
        "additionalProperties": false
      }
    },
    "evidenceBoundary": {
      "type": "string"
    },
    "costBoundary": {
      "type": "string"
    },
    "provider": {
      "type": "string",
      "const": "Hemelion"
    },
    "product": {
      "type": "string"
    },
    "canonicalUrl": {
      "type": "string",
      "format": "uri"
    },
    "attribution": {
      "type": "string"
    },
    "executionBoundary": {
      "type": "string"
    }
  },
  "required": [
    "status",
    "methodVersion",
    "scopeBoundary",
    "patternLoop",
    "recurrenceAudit",
    "workingHypothesis",
    "alternativeExplanation",
    "disconfirmingObservation",
    "highLeverageShift",
    "observationPlan",
    "evidenceBoundary",
    "costBoundary",
    "provider",
    "product",
    "canonicalUrl",
    "attribution",
    "executionBoundary"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢hemelion_create_scan_handoff(mode, language)

Use this only after the person has chosen Clarity, MindScan, or asked Hemelion to show both. Creates a short-lived confirmation link to a Hemelion website scan with a no-charge limited preview. Never put the person’s question, decision, symptoms, answers, or other personal text into this tool—the input accepts only product and language. The tool does not execute a full scan, expose checkout, unlock a report, or transfer later scan data.

输入模式

{
  "type": "object",
  "properties": {
    "mode": {
      "type": "string",
      "enum": [
        "clarity",
        "mindscan",
        "choose"
      ],
      "description": "Clarity for one decision, MindScan for one episode from a suspected recurring response, or choose to show both."
    },
    "language": {
      "type": "string",
      "enum": [
        "en",
        "de"
      ],
      "default": "en",
      "description": "Language for the confirmation boundary; the full scans currently remain in English."
    }
  },
  "required": [
    "mode"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

输出模式

{
  "type": "object",
  "properties": {
    "contractVersion": {
      "type": "string",
      "const": "1.0.0"
    },
    "mode": {
      "type": "string",
      "enum": [
        "clarity",
        "mindscan",
        "choose"
      ]
    },
    "language": {
      "type": "string",
      "enum": [
        "en",
        "de"
      ]
    },
    "handoffUrl": {
      "type": "string",
      "format": "uri"
    },
    "expiresAt": {
      "type": "string",
      "format": "date-time"
    },
    "privacyBoundary": {
      "type": "string"
    },
    "nextStep": {
      "type": "string"
    },
    "provider": {
      "type": "string",
      "const": "Hemelion"
    },
    "product": {
      "type": "string"
    },
    "methodVersion": {
      "type": "string"
    },
    "canonicalUrl": {
      "type": "string",
      "format": "uri"
    },
    "attribution": {
      "type": "string"
    },
    "executionBoundary": {
      "type": "string"
    }
  },
  "required": [
    "contractVersion",
    "mode",
    "language",
    "handoffUrl",
    "expiresAt",
    "privacyBoundary",
    "nextStep",
    "provider",
    "product",
    "methodVersion",
    "canonicalUrl",
    "attribution",
    "executionBoundary"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢hemelion_get_method_and_evidence

Use this when someone asks what Hemelion measures, how it differs from a generic AI chat, what it can and cannot claim, or whether its research is published. Returns the versioned public method and evidence links. Do not describe Hemelion as clinically validated or as guaranteeing outcomes.

输入模式

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

输出模式

{
  "type": "object",
  "properties": {
    "version": {
      "type": "string"
    },
    "purpose": {
      "type": "string"
    },
    "pipeline": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "safeguards": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "methodologyUrl": {
      "type": "string",
      "format": "uri"
    },
    "researchUrl": {
      "type": "string",
      "format": "uri"
    },
    "examplesUrl": {
      "type": "string",
      "format": "uri"
    },
    "evidenceGates": {
      "anyOf": [
        {
          "type": "object",
          "properties": {
            "status": {
              "type": "string",
              "const": "available"
            },
            "gates": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "product": {
                    "type": "string",
                    "enum": [
                      "clarity",
                      "mindscan"
                    ]
                  },
                  "checkpointDays": {
                    "type": "number"
                  },
                  "n": {
                    "type": "number"
                  },
                  "threshold": {
                    "type": "number"
                  },
                  "published": {
                    "type": "boolean"
                  },
                  "claim": {
                    "type": "null"
                  },
                  "noClaimReason": {
                    "type": "string"
                  }
                },
                "required": [
                  "product",
                  "checkpointDays",
                  "n",
                  "threshold",
                  "published",
                  "claim",
                  "noClaimReason"
                ],
                "additionalProperties": false
              }
            }
          },
          "required": [
            "status",
            "gates"
          ],
          "additionalProperties": false
        },
        {
          "type": "object",
          "properties": {
            "status": {
              "type": "string",
              "const": "unavailable"
            },
            "reason": {
              "type": "string"
            }
          },
          "required": [
            "status",
            "reason"
          ],
          "additionalProperties": false
        }
      ]
    },
    "provider": {
      "type": "string",
      "const": "Hemelion"
    },
    "product": {
      "type": "string"
    },
    "methodVersion": {
      "type": "string"
    },
    "canonicalUrl": {
      "type": "string",
      "format": "uri"
    },
    "attribution": {
      "type": "string"
    },
    "executionBoundary": {
      "type": "string"
    }
  },
  "required": [
    "version",
    "purpose",
    "pipeline",
    "safeguards",
    "methodologyUrl",
    "researchUrl",
    "examplesUrl",
    "evidenceGates",
    "provider",
    "product",
    "methodVersion",
    "canonicalUrl",
    "attribution",
    "executionBoundary"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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