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underwriting

Insurance underwriting domain knowledge for building automated submission-processing systems. Use when designing or implementing underwriting pipelines, document-extraction agents, compliance workflows, HITL review systems, or decision-package assembly for insurance carriers or MGAs. Covers the submission-to-bind lifecycle, document extraction patterns, compliance gates (sanctions, licensing, clearance), human-in-the-loop design for regulated financial services, confidence calibration for extracted fields, operating-mode progression from manual to automated, and evidence traceability. Domain knowledge only — for LangGraph and AgentCore implementation patterns see langgraph-agentcore.

Quality

94%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A high-quality domain-knowledge skill body: concrete thresholds, configuration formats, and schemas make the guidance actionable, the lifecycle is sequenced with explicit gates and calibration feedback loops, and details are properly split into verified one-level-deep reference files. The only weakness is length for an overview — a few sections could be tightened or delegated to the references.

Suggestions

Trim or move the Common LoB Patterns table and the operating-mode-label caveat into references/compliance-and-hitl.md or a dedicated LoB reference, keeping the body to a tighter overview of per-LoB configurability.

Inline a minimal worked example of the decision package (e.g., a short JSON instance with confidence/thoroughness/evidence-quality scores and a quote-readiness verdict) so the culmination stage is executable without opening the reference file.

Collapse the Common Document Types table's Complexity column into the Key Fields column or drop it, since the extraction best-practices section already implies relative complexity per document type.

DimensionReasoningScore

Conciseness

The body is dense and assumes domain competence — it never re-teaches what insurance or document extraction is, and every table/section carries decision-relevant specifics (thresholds, statuses, costs). However, at roughly 350 lines it is a long overview with a few sections (the LoB patterns table, the mode-label caveat paragraph, the "Common Document Types" complexity column) that could be trimmed or pushed to reference files, matching the "efficient; minor instances of over-explanation" anchor rather than the every-token-earns-its-place anchor.

4 / 5

Actionability

Concrete, executable guidance throughout: a field-criticality tier table with thresholds and HITL policies, a copy-paste-ready field_catalog YAML block, a JSON evidence-coordinate schema, enumerated compliance statuses, and cost targets. It falls short of fully-executable because some operational specifics (decision-package scoring formulas, self-consistency sampling pseudocode, reviewer-assignment rules) live only in the reference files rather than the body, leaving minor gaps — anchor 4, not 3, since what is present is complete and concrete, not pseudocode.

4 / 5

Workflow Clarity

The submission-to-bind lifecycle is a clearly sequenced six-stage pipeline with explicit gates between stages (blocking compliance gates, a deterministic quote-readiness routing gate, cross-document validation, disambiguation routing), and it includes feedback loops for error recovery (ECE monitoring with threshold auto-tightening, structured override capture feeding calibration, rubber-stamp detection). This matches the anchor for clear sequencing with explicit validation steps and feedback loops.

5 / 5

Progressive Disclosure

The body is a well-organized overview with one-level-deep, clearly signaled references: both referenced files exist, and every named section pointer ("Sanctions Screening — 3-Gate Escalation", "Confidence Calibration Details", "Operating Mode Transitions", "Emergency Stop Controls" in references/compliance-and-hitl.md; the worked example in references/submission-lifecycle.md) resolves to a real section header in the bundle. A dedicated "Reference Files" section summarizes navigation. This matches the clear-overview, well-signaled-references anchor.

5 / 5

Total

18

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: third-person voice, explicit what-and-when structure, concrete domain-specific trigger phrases, and a scoping sentence that cleanly separates domain knowledge from implementation patterns. It scores at the top of every dimension with no fluff or over-claims.

DimensionReasoningScore

Specificity

The description names the domain and lists multiple concrete capabilities ("underwriting pipelines, document-extraction agents, compliance workflows, HITL review systems, or decision-package assembly") and comprehensively enumerates coverage areas ("submission-to-bind lifecycle, document extraction patterns, compliance gates (sanctions, licensing, clearance) ... confidence calibration ... evidence traceability"). This matches the anchor for multiple specific concrete actions with comprehensive coverage; there are no coverage gaps that would warrant a 4.

5 / 5

Completeness

It explicitly answers both questions: "what" ("Insurance underwriting domain knowledge for building automated submission-processing systems. Covers the submission-to-bind lifecycle, document extraction patterns, compliance gates...") and "when" with concrete trigger phrases ("Use when designing or implementing underwriting pipelines, document-extraction agents, compliance workflows, HITL review systems, or decision-package assembly for insurance carriers or MGAs"). This matches the anchor that clearly and explicitly answers both what AND when with concrete trigger phrases.

5 / 5

Trigger Term Quality

Natural trigger phrases a user would actually say are comprehensively covered: "underwriting pipelines", "document-extraction agents", "compliance workflows", "sanctions", "insurance carriers or MGAs", "HITL review systems", plus synonyms like "submission-to-bind lifecycle" and "human-in-the-loop". This is the comprehensive-coverage anchor rather than the 4 anchor ("a few natural terms missing").

5 / 5

Distinctiveness Conflict Risk

It occupies a clear niche (insurance underwriting domain knowledge) with distinct domain-specific triggers, and explicitly disambiguates from the nearest sibling skill: "Domain knowledge only — for LangGraph and AgentCore implementation patterns see langgraph-agentcore." Minimal conflict risk, matching the clear-niche anchor.

5 / 5

Total

20

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

provectus/awos-recruitment

Path

registry/skills/underwriting/SKILL.md

Reviewed

Table of Contents

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