doom
Obsolescence-risk screening: predicts if a product gets absorbed into core LLM-platform features.
¿Debería usar esto?
Calidad y seguridad
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"doom": {
"url": "https://mcp.doomscore.vc"
}
}
}Puntos de conexión remotos
https://mcp.doomscore.vcstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (11)
⚪doom_prep
Prep Gate. Validates config + confirms the roadmap-signals KB is within the staleness threshold. Fails closed if stale. Call before assess_product.
Esquema de entrada
{
"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).
Esquema de entrada
{
"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.
Esquema de entrada
{
"type": "object",
"properties": {
"job_id": {
"type": "string"
}
},
"required": [
"job_id"
],
"additionalProperties": false
}🟢list_assessments(verdict, limit)
Recent assessments, filterable by verdict.
Esquema de entrada
{
"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.
Esquema de entrada
{
"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.
Esquema de entrada
{
"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.
Esquema de entrada
{
"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.
Esquema de entrada
{
"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.
Esquema de entrada
{
"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.
Esquema de entrada
{
"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.
Esquema de entrada
{
"type": "object",
"properties": {
"operator_key": {
"type": "string"
},
"case_id": {
"type": "string"
},
"reason": {
"type": "string"
}
},
"required": [
"operator_key",
"case_id",
"reason"
],
"additionalProperties": false
}Prompts recomendados
get_assessmentget_assessmentlist_assessmentslist_assessmentslist_assessmentsget_assessmentComunidad
Evidencia