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ingest-doc

Single-command document ingestion pipeline. Chains extractor → cui-marker → doc2qra → taxonomy → memory for PDFs and documents. Handles compliance, research, and general documents end-to-end.

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Datos de origen

Repositorio
grahama1970/agent-stack-public
Última actividad en el origen
24 de septiembre de 2026 a las 15:51
Idioma detectado de SKILL.md
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura
name
ingest-doc
description
Single-command document ingestion pipeline. Chains extractor → cui-marker → doc2qra → taxonomy → memory for PDFs and documents. Handles compliance, research, and general documents end-to-end.
allowed-tools
["run_command","read_file"]
triggers
["ingest document","ingest compliance","ingest nist","ingest stig","ingest cmmc","compliance document","ingest itar document","compliance ingestion","convert document to qras","document to knowledge"]
metadata
{"short-description":"End-to-end document ingestion pipeline"}
provides
["ingest-doc"]
composes
["extractor","doc2qra","cui-marker","taxonomy","memory","task-monitor","agentic-evals"]
taxonomy
["security","compliance"]
disciplines
["data-engineering","extraction"]
> STOP. READ THIS ENTIRE SKILL.MD BEFORE CALLING ANY ENDPOINT. # Ingest Document Single command to ingest a PDF through the full pipeline: ``` PDF → extractor → cui-marker → doc2qra → taxonomy → memory ``` ## Commands | Command | Description | |---------|-------------| | `./run.sh ingest <path>` | Full pipeline on a PDF/URL | | `./run.sh ingest <path> --preset nist_controls` | Force NIST control preset | | `./run.sh ingest <path> --dry-run` | Show what would happen without executing | | `./run.sh ingest <path> --skip-cui` | Skip CUI marking (for public documents) | | `./run.sh batch <dir>` | Process all PDFs in a directory | | `./run.sh status` | Show pipeline health (all skills available?) | ## Pipeline Stages ### Stage 1: Extract (extractor skill) - Profile document to detect preset (nist_controls, requirements_spec, etc.) - Extract sections, tables, figures via deterministic pipeline - Output: structured JSON + markdown ### Stage 2: CUI Check (cui-marker skill) - Scan extracted text for CUI indicators - Apply appropriate markings ### Stage 3: QRA Extraction (doc2qra skill) - Generate QRA triplets via LLM - Persona-driven quality gating - Grounding validation filters hallucinations ### Stage 4: Taxonomy (taxonomy skill) - Extract federated taxonomy tags (bridges: Precision, Resilience, etc.) ### Stage 5: Memory Storage (memory skill) - Store QRAs with taxonomy tags in ArangoDB - Create graph edges between controls and requirements ## Supported Document Types | Type | Detected By | Preset | |------|------------|--------| | NIST SP 800-171 | "NIST SP", control IDs (AC-*, SC-*) | nist_controls | | NIST SP 800-53 | "NIST SP", control catalog format | nist_controls | | DISA STIG | "STIG", V-number findings | requirements_spec | | CMMC Assessment Guide | "CMMC", "Cybersecurity Maturity" | requirements_spec | | ITAR/EAR Documents | Export control markers | requirements_spec | | Engineering Specs | REQ-xxx, "Shall" language | requirements_spec | | General PDF/markdown | Any document | auto |
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