Files
fn_registry/dev/flows/0005-osint-person-lookup.md
T
egutierrez a03675113a chore: auto-commit (286 archivos)
- .claude/agents/fn-orquestador/SKILL.md
- .claude/commands/fn_claude.md
- .claude/rules/INDEX.md
- .claude/rules/cpp_apps.md
- .claude/rules/ids_naming.md
- CHANGELOG.md
- apps/dag_engine/README.md
- apps/dag_engine/api.go
- apps/dag_engine/dags_migrated/example.yaml
- apps/dag_engine/dags_migrated/example_lineage_tracking.yaml
- ...

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-16 16:33:22 +02:00

2.3 KiB

name, id, status, created, updated, priority, risk, related_issues, apps, trigger, schedule, expected_runtime_s, tags
name id status created updated priority risk related_issues apps trigger schedule expected_runtime_s tags
osint-person-lookup 0005 pending 2026-05-16 2026-05-16 medium medium
0098
navegator_dashboard
odr_console
graph_explorer
agents_and_robots
manual 300
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.