LarkScout
LarkScout is an enterprise-grade knowledge platform for AI Agents: building upon multi-source ingestion, document parsing, and preview to perform Claim extraction, knowledge view compilation, contradiction scanning, and experience feedback. It compiles enterprise knowledge into traceable, consumable assets—preventing context window pollution and hallucination caused by dumping raw documents into RAG.

LarkScout
Knowledge & Skill CompilationEnterprise knowledge platform for AI AgentsDelivering compiled, traceable knowledge to Agents—not raw search hits.
- Compilation
- Compiled knowledge, not raw search hits
- Traceable
- Claim-level citations
- Closed Loop
- Contradiction scan + human-verified feedback
- Skill
- Aligned with agentskills.io
Typical pains
Low-quality RAG recall floods Agent context windows with irrelevant noise
Tacit project lessons fail to persist, causing Agents to repeat identical mistakes
Agents continue executing on stale SOPs after corporate knowledge updates
Capabilities
Does / does not
Does
- Claim extraction and knowledge view compilation
- Contradiction scanning and experience feedback loops
- Multi-format document parsing and preview
- Enterprise content source connectors and site curation
- Agent content (Skill / SOP / Rule) compilation
- SKILL Bundle batch ingest (ZIP / Tar.gz, up to 20 SKILL directories per archive) with agentskills.io validation
- Three-layer ingest gate (archive structure / SKILL.md format / process-isolated YARA)
- Protected sections and fork lineage records
- Official MCP knowledge search and correction proposals (opt-in, mTLS)
Does not
- Does not replace corporate Wiki or document systems
- Does not act as a generic parsing service for arbitrary third-party systems
Integrations
NodalOS runtime and mTLSHarnessServer content synchronization and deliveryAULO knowledge panels and document previewPrismCouncil standalone delivery manages council SKILLs independently without registering here