doom

Obsolescence-risk screening: predicts if a product gets absorbed into core LLM-platform features.

사용해야 할까요

품질 및 안전성

A
설명 품질
95%
스키마 완전성
69%
이름 품질
93%
오염 위험
100%
권한 일치
100%
프로토콜 준수
100%

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~1,090토큰 (도구 정의)
~605 B일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 0.85%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "doom": {
      "url": "https://mcp.doomscore.vc"
    }
  }
}

원격 엔드포인트

https://mcp.doomscore.vcstreamable-http

할 수 있는 일

도구 목록

도구 (11)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
⚪doom_prep

Prep Gate. Validates config + confirms the roadmap-signals KB is within the staleness threshold. Fails closed if stale. Call before assess_product.

입력 스키마

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢assess_product(description, url, pitch_company_id, deck_text, mode, ...)

Assess one product's obsolescence risk. Provide exactly ONE of description/url/pitch_company_id/deck_text. Async — returns job_id; poll get_assessment. Defaults to deep mode. Optionally pass requested_by to identify the caller (shown in the activity feed).

입력 스키마

{
  "type": "object",
  "properties": {
    "description": {
      "type": "string"
    },
    "url": {
      "type": "string"
    },
    "pitch_company_id": {
      "type": "string"
    },
    "deck_text": {
      "type": "string"
    },
    "mode": {
      "type": "string",
      "enum": [
        "quick",
        "deep"
      ],
      "default": "deep"
    },
    "requested_by": {
      "type": "string",
      "description": "Who is requesting this assessment (name/handle/agent id) — shown in the #doom-activity feed; defaults to anonymous."
    }
  },
  "additionalProperties": false
}
🟢get_assessment(job_id)

Poll an assessment job_id. Returns status + the typed assessment when complete. Hard timeout — never hangs on pending.

입력 스키마

{
  "type": "object",
  "properties": {
    "job_id": {
      "type": "string"
    }
  },
  "required": [
    "job_id"
  ],
  "additionalProperties": false
}
🟢list_assessments(verdict, limit)

Recent assessments, filterable by verdict.

입력 스키마

{
  "type": "object",
  "properties": {
    "verdict": {
      "type": "string"
    },
    "limit": {
      "type": "number",
      "default": 20
    }
  },
  "additionalProperties": false
}
⚪overview

Inspectable State. No input. Counts, recent activity, roadmap-signal freshness, health, last calibration run.

입력 스키마

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
⚪record_outcome(operator_key, job_id, product, actual_outcome, expected_verdict, ...)

Outcome-feedback (learning loop). Record what ACTUALLY happened to a previously-assessed product as a labeled calibration case; the weekly recalibration folds it into the gate. Operator-only (requires operator_key). Provide either job_id (links the case to that assessment + reuses its product) or product text.

입력 스키마

{
  "type": "object",
  "properties": {
    "operator_key": {
      "type": "string"
    },
    "job_id": {
      "type": "string"
    },
    "product": {
      "type": "string"
    },
    "actual_outcome": {
      "type": "string",
      "enum": [
        "sherlocked",
        "survived",
        "thrived"
      ]
    },
    "expected_verdict": {
      "type": "string",
      "enum": [
        "roadkill",
        "squeezed",
        "defensible",
        "riding-the-wave"
      ]
    },
    "year_observed": {
      "type": "number"
    },
    "notes": {
      "type": "string"
    }
  },
  "required": [
    "operator_key",
    "actual_outcome",
    "expected_verdict"
  ],
  "additionalProperties": false
}
🟢list_signal_candidates(operator_key, status, limit)

KB-refresh review queue. List auto-scraped candidate roadmap signals (default: pending). Operator-only. Approve/reject with review_signal_candidate; the weekly cron signs approved ones into the live KB.

입력 스키마

{
  "type": "object",
  "properties": {
    "operator_key": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "pending",
        "approved",
        "rejected",
        "signed"
      ]
    },
    "limit": {
      "type": "number",
      "default": 50
    }
  },
  "required": [
    "operator_key"
  ],
  "additionalProperties": false
}
⚪review_signal_candidate(operator_key, candidate_id, action)

Approve or reject a KB-refresh candidate signal. Operator-only. Approved candidates are signed (Ed25519) into the live roadmap_signals KB by the next refresh run; rejected ones are dropped. Controls what becomes grounding truth.

입력 스키마

{
  "type": "object",
  "properties": {
    "operator_key": {
      "type": "string"
    },
    "candidate_id": {
      "type": "string"
    },
    "action": {
      "type": "string",
      "enum": [
        "approve",
        "reject"
      ]
    }
  },
  "required": [
    "operator_key",
    "candidate_id",
    "action"
  ],
  "additionalProperties": false
}
🟢list_kb_signals(operator_key)

List the active (signed, grounding) roadmap signals with their ids — use to find a signal_id to retire. Operator-only.

입력 스키마

{
  "type": "object",
  "properties": {
    "operator_key": {
      "type": "string"
    }
  },
  "required": [
    "operator_key"
  ],
  "additionalProperties": false
}
🟢retire_signal(operator_key, signal_id, reason)

UNLEARN a KB signal that became false/obsolete (e.g. a rumored feature cancelled, or a signal no longer predictive). Soft-deletes it (active=false) so it stops grounding assessments immediately — recoverable. Operator-only. Find the id via list_kb_signals.

입력 스키마

{
  "type": "object",
  "properties": {
    "operator_key": {
      "type": "string"
    },
    "signal_id": {
      "type": "string"
    },
    "reason": {
      "type": "string"
    }
  },
  "required": [
    "operator_key",
    "signal_id",
    "reason"
  ],
  "additionalProperties": false
}
⚪supersede_calibration_case(operator_key, case_id, reason)

UNLEARN a calibration case whose label turned out wrong or obsolete — retires it (active=false) so the recalibration gate stops scoring it. To correct, retire the wrong case then record_outcome the right one. Operator-only.

입력 스키마

{
  "type": "object",
  "properties": {
    "operator_key": {
      "type": "string"
    },
    "case_id": {
      "type": "string"
    },
    "reason": {
      "type": "string"
    }
  },
  "required": [
    "operator_key",
    "case_id",
    "reason"
  ],
  "additionalProperties": false
}

권장 프롬프트

retrieve_data
Get details about [item] from doom
예상 도구: get_assessment
fetch_info
Fetch [information type] using doom
예상 도구: get_assessment
list_items
List all [items] available in doom
예상 도구: list_assessments
browse_collection
Show me the [collection] from doom
예상 도구: list_assessments
explore_workflow
List available [items], then get details for each one using doom
예상 도구: list_assessmentsget_assessment

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