---
name: osint-person-lookup
id: 0005
status: pending
created: 2026-05-16
updated: 2026-05-16
priority: medium
risk: medium
related_issues: [0098]
apps:
  - navegator_dashboard
  - odr_console
  - graph_explorer
  - agents_and_robots
trigger: manual
schedule: ""
expected_runtime_s: 300
tags: [osint, multi-tab, parallel, graph]
---

## Goal

Probar paralelismo (multiples scraping jobs concurrentes) + agregacion a grafo. Demuestra que graph_explorer cierra el circulo visualizando datos extraidos.

## Pre-requisitos

- odr_console activa (jobs queue).
- Chrome con sesiones activas en LinkedIn / Twitter / GitHub (no automatizar login).
- `projects/osint_graph/operations.db` accesible (graph_explorer la lee).
- claude CLI para resumen final.

## Flow

1. Input: nombre + apellido (`Juan Perez`).
2. odr_console crea 3 jobs concurrentes:
   - Job A: navegator recipe `osint_linkedin_search.yaml` con query `{name}`.
   - Job B: navegator recipe `osint_twitter_search.yaml` con query `{name}`.
   - Job C: navegator recipe `osint_github_search.yaml` con query `{name}`.
3. Cada job extrae snippets: `{source, url, title, snippet, timestamp}`.
4. Cada snippet -> insert en `projects/osint_graph/operations.db` como entity `Snippet` + relations `mentions(Person, Snippet)`.
5. graph_explorer abre el operations.db -> renderiza red de menciones.
6. `claude -p` resume hallazgos en Markdown: dada lista de snippets, devuelve `{summary, confidence, suggested_next_steps}`.
7. Sink: report `.md` en `projects/osint_graph/reports/<person>-<date>.md`.
8. Matrix bot envia link al report.

## Acceptance

- [ ] 3 recipes osint creadas (LinkedIn, Twitter, GitHub).
- [ ] odr_console lanza 3 jobs paralelos sin race conditions.
- [ ] >= 5 snippets totales en operations.db.
- [ ] graph_explorer renderiza grafo con >=1 Person + N Snippets.
- [ ] Claude resumen generado y valido (no error).
- [ ] Report .md commiteado en repo osint_graph.

## Telemetria esperada

- 3 runs en `data_factory.runs` (uno por source).
- `operations.db` de osint_graph: entities += N, relations += N.
- `function_stats.claude_cli_prompt_py_infra`: calls += 1.

## Notas

- Consideracion legal: extracciones publicas (perfiles abiertos). NO bypassear paywalls/captchas.
- LinkedIn detecta scraping agresivo -> usar rate-limit por job en navegator.
- Caso ambicioso (5 apps + paralelismo + LLM). Reservar como hito.